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Open Access

Peer-reviewed

Research Article

Are university rankings useful to improve research? A systematic review

Contributed equally to this work with: Marlo M. Vernon, E. Andrew Balas

Roles Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing – original draft, Writing – review & editing

* E-mail: [email protected]

Affiliation Department of Clinical and Digital Health Sciences, College of Allied Health Sciences, Augusta University, Augusta, Georgia, United States of America

Roles Conceptualization, Formal analysis, Supervision, Writing – original draft, Writing – review & editing

Roles Methodology, Validation, Visualization, Writing – review & editing

Affiliations Department of Mathematics, Faculty of Science, The University of Jordan, Amman, Jordan, Nonlinear Analysis and Applied Mathematics (NAAM) Research Group, Faculty of Science, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia

Marlo M. Vernon,
E. Andrew Balas,
Shaher Momani

Published: March 7, 2018
https://doi.org/10.1371/journal.pone.0193762
Reader Comments

Introduction

Concerns about reproducibility and impact of research urge improvement initiatives. Current university ranking systems evaluate and compare universities on measures of academic and research performance. Although often useful for marketing purposes, the value of ranking systems when examining quality and outcomes is unclear. The purpose of this study was to evaluate usefulness of ranking systems and identify opportunities to support research quality and performance improvement.

A systematic review of university ranking systems was conducted to investigate research performance and academic quality measures. Eligibility requirements included: inclusion of at least 100 doctoral granting institutions, be currently produced on an ongoing basis and include both global and US universities, publish rank calculation methodology in English and independently calculate ranks. Ranking systems must also include some measures of research outcomes. Indicators were abstracted and contrasted with basic quality improvement requirements. Exploration of aggregation methods, validity of research and academic quality indicators, and suitability for quality improvement within ranking systems were also conducted.

A total of 24 ranking systems were identified and 13 eligible ranking systems were evaluated. Six of the 13 rankings are 100% focused on research performance. For those reporting weighting, 76% of the total ranks are attributed to research indicators, with 24% attributed to academic or teaching quality. Seven systems rely on reputation surveys and/or faculty and alumni awards. Rankings influence academic choice yet research performance measures are the most weighted indicators. There are no generally accepted academic quality indicators in ranking systems.

No single ranking system provides a comprehensive evaluation of research and academic quality. Utilizing a combined approach of the Leiden, Thomson Reuters Most Innovative Universities, and the SCImago ranking systems may provide institutions with a more effective feedback for research improvement. Rankings which extensively rely on subjective reputation and “luxury” indicators, such as award winning faculty or alumni who are high ranking executives, are not well suited for academic or research performance improvement initiatives. Future efforts should better explore measurement of the university research performance through comprehensive and standardized indicators. This paper could serve as a general literature citation when one or more of university ranking systems are used in efforts to improve academic prominence and research performance.

Citation: Vernon MM, Balas EA, Momani S (2018) Are university rankings useful to improve research? A systematic review. PLoS ONE 13(3): e0193762. https://doi.org/10.1371/journal.pone.0193762

Editor: Lutz Bornmann, Max Planck Society, GERMANY

Received: July 31, 2017; Accepted: February 16, 2018; Published: March 7, 2018

Copyright: © 2018 Vernon et al. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All relevant data are within the paper and its Supporting Information files.

Funding: The authors received no specific funding for this work.

Competing interests: The authors have declared that no competing interests exist.

Considering the significance of university innovation, there is a pressing need for outcome studies and quality improvement initiatives in the research enterprise. Keupp et al. [ 1 ] point out that current innovation management is characterized by conflicting predictions, knowledge gaps and theoretical inconsistencies. These issues may negatively impact the translation of academic research into discovery and applicable societal benefit. Research quality issues exist within university research; in the last 10 years, several studies and commentaries have highlighted the need for improvement in transparency, replicability, and meaningful research outcome reporting [ 2 – 6 ].

Many university administrators rely on university ranking systems as indicators of improvement over time and in comparison to other institutions. Universities promote improvement in standings as evidence of progress in the academic and research environments when requesting funding from government sources [ 7 ]. Other universities use ranking systems as evidence of cost-benefit for previously funded initiatives and to support additional funding requests. Consumers use university rankings to evaluate higher education opportunities both nationally and internationally.

Previous reviews of university rankings found that emphasis on reputation and institutional resources may not truly represent university quality [ 8 – 12 ]. Reviews of five ranking systems by Dill &Soo [ 8 ] focused on the suitability of rankings as representative of academic quality. Their findings demonstrate that ranking system indicators are not sufficient for promoting policy decisions or consumer choice. Suggested academic quality indicators include student entry criteria, program completion rates, proportion of graduates entering employment upon graduation, professional training, higher degrees, and the average starting salaries of graduates. Frey and Rost [ 13 ] concluded that publications and citations were not suitable indicators of scientific institutional worth. Their results suggest that multiple criteria should be implemented when assessing institutions for quality or choice for career decision.

Moed [ 12 ] most recently evaluated five world ranking systems and concluded that while ranking systems have improved in the last decade, the tendency to be one-dimensional hinders a more comprehensive university evaluation.

An evaluation of the Shanghai and Times Higher Education rankings conductd 70 simulations to replicate rankings; their results indicate that inaccurate weights were used to calculate the overall score [ 10 ]. The lack of replicability emphasizes the need for ongoing research quality evaluation and improvement. Trustworthiness of research influences not only scientific credibility but also effective innovation.

Assessment of the validity of research and academic quality indicators in university rankings is often unexplored; only once in the literature were two ranking systems so evaluated [ 14 ]. Integrating the much cited definitions of validity by Carmines and Hammersley, validity is the extent to which a measuring instrument accurately represents those features of a phenomena, that it is intended to describe[ 15 , 16 ].

While academic institutions have a responsibility to ensure that research process and outcomes efficiently and prudently manage resources, standardized research performance evaluation mechanisms for comparison across institutions do not currently exist. Academic institutions and administrators need reliable evaluation indicators of research and academic quality and university ranking systems are often used for this purpose. The objective of this study is to evaluate the usefulness of ranking systems for both academic and research performance and quality improvement, through a systematic review of publicly available university ranking systems.

We conducted a systematic review of university ranking systems utilizing the PRISMA protocol and checklist, researched relevant measures to ascertain commonly used indicators for evaluating research performance and innovation ( Fig 1 , S1 Table ) [ 17 ]. The review protocol for this study is available from the authors.

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https://doi.org/10.1371/journal.pone.0193762.g001

Eligibility criteria

Ranking systems which include over 100 doctoral granting universities in their sample were eligible. Rankings must be currently produced on an ongoing basis and include US and global universities. Ranking systems also needed to publish rank calculation methodology in English. Ineligible criteria included rankings which were solely based on reputation surveys, did not include research outcome indicators or ranked institutions solely by subject area.

A search of publicly available ranking systems for universities was undertaken between January and March 2017, through the use of internet search and qualitative literature review. Search terms included “university ranking”, “research productivity,” “measurement,” and “ranking university research.” Ranking system owners and VP of Research Administration were also consulted. Our searches were not limited to a certain field. Search engines used included PubMed (Search strategy: "university ranking"[All Fields]), Web of Science (WOS), and Google Scholar. To reduce selection bias, additional internet searches were also broadly conducted with the same search terms to identify any additional ranking systems.

Processing/Abstraction

The purpose of the ranking system and methodologies for calculation of ranks were pulled from published statements through each ranking system website or publicly available documentation on methodology. Terms such as “the objective,” or “purpose of” each ranking system are used to identify the stated purpose of the ranking system. All indicators which were stated by the ranking systems to evaluate research and academics were abstracted and compared across systems. The aggregation methodology was also abstracted and compared from the publicly available methodologies and results.

Ranking systems were also evaluated on their utility for institutional quality improvement based on transparency of data and data analysis, consistency of indicators used in rankings over time, and availability of institution level data from ranking system–made available for others to replicate ranking calculations.

In this study, validity of ranking was assessed based on the following criteria: (i) content (i.e., comprehensiveness by including measures of both IP and publications, reliance on empirical data); (ii) consistency (i.e., transparency of indicator calculation; transparency of data/availability of raw institutional data; transparency of data aggregation; consistency of measures over time; process of ranking replicable); and (iii) resistance to bias (i.e., avoidance of self-reported data; does not rely on peer reputation surveys). Transparency of data is evaluated on the availability of raw institutional data used for comparison and whether the data can be used to analyze trends over time. The transparency of the data analysis algorithm is also evaluated as indicator transformations are provided with sufficient detail for replication and if the algorithms used for rankings are replicable by outside entities. The disclosure of the included percentage for each subscale used by the ranking system is included in this item. Subscales refer to the different components or indicators included in each ranking system’s overall score, for example, the percent of the overall score attributed to publications in high impact journals, total citations, or number of PhD graduates. To evaluate the appropriateness of rankings for use in research quality improvement action plans, the consistency of indicators over time is roughly assessed using a binary rating of present or not present. Consistency of indicators used over time is determined by publication of ranking methodology or indicator changes prior to rankings release, the stated frequency of changes, and whether included measures have a life cycle of inclusion. Resistance to bias of the ranking systems is assessed by whether or not data are self-reported to ranking systems, and the presence or absence of a stated validation process to confirm self-reported data is utilized by the system. Resistance to bias is also assessed by degree of reliance on empirical or qualitative survey data (majority percent of total score), as reputation surveys are not factors that institutions can control or design.

For the purposes of this study, the definition of research performance is based on standards for the NIH Research Performance Progress Report: publications, conference papers, and presentations; website(s) or other Internet site(s); technologies or techniques; inventions, patent applications, and/or licenses; other products, such as data or databases, physical collections, audio or video products, software, models, educational aids or curricula, instruments or equipment, research material, interventions (e.g., clinical or educational), or new business creation [ 18 ]. This review of university ranking systems looked for impact and products along these lines. Correspondingly, research performance indicators are interpreted as measures of publications, citations, and/or intellectual property.

Academic quality is defined as improvement in students' capabilities or knowledge as a consequence of their education at a particular college or university [ 19 ]. It is interpreted as measures pertaining to student progress or acheivement, and teaching quality as defined by faculty credintals.

A total of 24 ranking systems were initially identified through searches. Thirteen ranking systems which published in 2015 or 2016 were included in the results ( Table 1 ). Excluded ranking systems were either no longer being published, did not include research performance indicators, or did not publish ranking methodologies. The range of institutions evaluated is between 500 and 5000 institutions. The oldest ranking system is the Carnegie Classification, established in 1973. All other ranking systems were first published between 2003 and 2015. Three ranking systems are run by universities, two by publications or news agencies, five by consulting or independent groups, and one by a government established entity. While the US News and World Report ranking of American universities was not eligible due to a lack of research performance indicators, the US News and World Report Global Ranking is included.

https://doi.org/10.1371/journal.pone.0193762.t001

The purpose of most ranking systems is to identify top institutions for consumers, to classify institutions by their research activity, and to compare institutions within countries and across the globe ( Table 2 ). Some ranking systems state that they do not intend for the information to be used to compare institution to institution, but to provide a general interpretation of each institution’s annual performance.

https://doi.org/10.1371/journal.pone.0193762.t002

Four ranking systems specifically state that their results are intended to evaluate research quality. The Shanghai and UMR highlight their use in government cost benefit analysis; RUR, Shanghai, UMR, and Times state that their ranking systems may have use in supporting government funding requests.

The Carnegie Classification specifically states that their rankings are not intended to evaluate research performance. The Carnegie Classification System relies on R&D expenditure data in both STEM and non-STEM fields from the NSF Survey of Research and Development Expenditures at Universities and Colleges. Total staff working in science and engineering research are included from the NSF Survey of Graduate Students and Post-doctorates in Science and Engineering. No measures of research performance are assessed. The UMR system also provides indicators of quality, but leaves the definition of quality up to user preferences, by allowing a choice of indicators to be selected.

Tables 3 and 4 list the indicators utilized by the ranking systems to evaluate research performance or quality. Nine systems used total publications as an indicator–this is typically defined by the number of peer-reviewed articles that are included in either the Thomson Reuters Web of Science Core Collections database, or SCOPUS, produced by Elsevier. On average, 33.8% of ranking scores are assigned to publications and citations or various versions of these metrics. In most analyses, this is not dependent on first author affiliation, meaning that articles could be counted more than once across different institutions in collaborative works. Peer evaluation of both academic and research reputation and cumulative faculty awards contribute on average 39.8% of total ranking score among those who report weighting.

https://doi.org/10.1371/journal.pone.0193762.t003

https://doi.org/10.1371/journal.pone.0193762.t004

Ranking systems which rely heavily on publication and citation metrics include the Leiden Ranking, Shanghai, SCImago, URAP, US News and World Report and the EU U-Multirank systems. The Leiden Ranking provides size-dependent and size-independent variants of all indicators, except publication output. Citation indicators are also normalized for scientific field differences. The counting method is conducted using a full counting and a fractional counting method- wherein collaborative publications are given less weight than non-collaborative ones (Leiden indicators description, page 4). An algorithm is applied to calculate field-normalized impact indicators, described by Waltman and Van Eck [ 20 ]. In the Shanghai ranking system, publications in Nature/Science and Nobel or Fields Awards comprise 50% of the score–indicating a reliance on highly selective indicators. Rankings are created by scoring the highest institution as 100, and the rest as a percentage of 100. URAP rankings are entirely based on publication and citation metrics. Scores are normalized according to field of study. CWUR rankings are the only ranking system that incorporates the h -index developed by Hirsch [ 21 ] to indicate the broad impact of a university’s research based on performance and citation impact. The h- index of an institution equals x if the institution has published x papers that have each been cited at least x times. For all but two ranking systems, Leiden and Carnegie, data used in the calculations are not made available making replicability of the rankings impossible. Leiden and Carnegie both provide downloadable spreadsheets of the ranking indicator data.

The percent of scores attributed to intellectual property (IP) measures, such as patents, was only 3.5% across all systems. Four systems incorporated at least one of these indicators–CWUR, SCImago, CA, and UMR. The Clarivate Analytics Most Innovative Universities is the only ranking system heavily focused on intellectual property indicators and includes indicators based on independent empirical data. A patent success ratio is calculated from patent awards per applications. Raw data is not available for validation and replication. The UMR, CWUR include patent applications. The one indicator of IP performance in SCImago is based on citation metrics (publications cited in patent applications) and heavily weights this in the summary score at 30%.

Academic quality indicators are presented in Table 5 . Six systems incorporate academic quality by various indicators. The most common is a peer to peer survey, used by QS World, Times, US News and World Report, UMR, and RUR. Student/Faculty ratio is employed by each of these systems, excluding the US News and World Report. Carnegie, Times, and the UMR also use total doctoral degrees conferred when evaluating academic quality. Diversity of faculty and students are also used by QS World, Times, UMR and RUR as indicators of academic quality. CWUR attributes 25% of their ranking score to the number of alumni who are CEOs on the Forbes 100 list as the only measure of academic quality.

https://doi.org/10.1371/journal.pone.0193762.t005

The SCImago rank web presence by Google metrics makes up 20% of the total score. Similarly, Webometrics includes all global universities that have a web presence. The goal is to encourage universities and staff to increase their visibility through the number of webpages and external networks originating at institution websites. Citations and publications make up 40% of the score, based on the production of the most cited faculty.

Five ranking systems include reputation surveys as a significant component of the ranking calculation. The QS World ranking attributes 50% of the institution score to academic and employer reputation surveys. Research and academic reputation surveys contribute 33% of the Times ranking system.

An audit by PricewaterhouseCooper was completed for this methodology, yet there is no independent validation of self-report data or explanation of the weighting of the indicator percentages. Raw data is not provided for independent replication or validation. USN&WR Global Rankings incorporates surveys of global and regional research reputation (25% of the total score), the results of which are not publicly available. Round University Ranking, based out of Moscow, Russia, uses surveys for 16% of the overall score.

Standardization and aggregation methods are employed in various iterations by the ranking systems ( Table 6 ). Efforts are made by all evaluated systems to normalize indicators by calculating ratios according to faculty numbers or research expenditures. Others normalized citations by field of study to lessen advantage of highly cited disciplines. Z scores, fractional counting, and weighted subscales are also used to standardize the ranking scores.

https://doi.org/10.1371/journal.pone.0193762.t006

The suitability of ranking systems for use in research performance improvement is reported in Table 7 . It provides a rough binary assessment of the various ranking systems on the different dimensions. All ranking systems refine their analysis prior to each publication. No ranking systems report any specific measures or analysis of their indicator validity. Leiden provides a stability interval to support the individual indicator.

https://doi.org/10.1371/journal.pone.0193762.t007

One research institution was compared across all ranking systems in Table 8 , to demonstrate the variability of ranking systems.

https://doi.org/10.1371/journal.pone.0193762.t008

Administrators, funders, and consumers should look for rankings which are consistent over time, cover multiple areas of measurement and are less reliant on peer reputation. Based on our results, reputation surveys, self-reported and unvalidated data, and non-replicable analyses create an impractical foundation for research improvement assessment, and can lead to a wide range of institutional ranks. When rankings are used to as support for budget requests, or as evidence of return on investment, indicators which provide a balanced approach have the best opportunity to be truly reflective.

When used in tandem, several ranking systems may have more reasonable comprehensiveness and validity. Use of the Leiden Ranking System, the Clarivate Analytics Innovation Ranking System, and SCImago process for systematic evaluation and comparison may be a promising approach for research administrators. The U-Multirank is the broadest of the systems examined, but without the ability to compare a university’s performance over time rather than in overall categories, trend analysis becomes difficult.

We found that current ranking systems rarely incorporate the promotion of innovation culture through patents or intellectual property disclosures. Increasing the research product: publication/patent, may be easily manipulated to increase rankings without actually increasing contribution to science [ 22 , 23 ].

In our sample, eight of the thirteen systems include indicators to measure academic quality. These are mainly focused on peer reputation, faculty achievement, student to faculty ratios, and the total number of awarded doctorates in both STEM and non-STEM fields. Valid measures of academic quality are not universally standardized [ 8 ]. Many ranking systems are marketed either for academic choice/comparison, yet, these indicators do not sufficiently reflect the teaching and learning environments of students.

Research expenditure is often used an indicator of the strength and quality of an institution’s research capabilities. However, no correlation has been found between more research expenditure and better quality research. A Canadian evaluation found a diminishing rate of return between the two factors, and in the US, NIH funding was significantly correlated with increased publications, but not with development of novel therapeutics [ 24 , 25 ].

University rankings tend to focus on bibliometric sources which are biased towards English language journals and are therefore not comprehensive or fully accurate. Peer reputation surveys are not published, nor is the data made available, and bias towards larger more well-known institutions may be inevitable. In addition, measures such as the number of Nobel Prize winners could be considered “luxury” indicators, accessible to elite universities but are out of reach and un-motivating for most other universities.

In this review, we explore the validity and suitability of ranking systems for research performance improvement. Clearly, there is a need for improvement in ranking methodologies. Applying organizational management principles may improve the validity and reliability of university ranking systems and assist with appropriate indicator choices.

We propose that the ideal ranking systems limits the significance of peer reputation to no more than 10%, and meets the Comprehensiveness, Transparency and Replicability criteria described in Table 5 . Current approaches rely on easily accessible output data sources; reliance on these measures perpetuates the perspective that a few approaches adequately represent scientific value, quality improvement and innovation performance. While we believe this represents a comprehensive analysis of appropriate ranking systems, other institutions may rely on different systems. Consultation with ranking system developers and research administrators has provided support for the included list.

Conclusions

There is a need for a credible quality improvement movement in research that develops new measures, and is useful for institutions to evaluate and improve performance and societal value. Quality over quantity should be emphasized to affirm research performance improvement initiatives and outcomes, which benefit society through scientific discovery, economic outcomes, and public health impact. Current indicators are inadequate to accurately evaluate research outcomes and should be supplemented and expanded to meet standardized criteria. We suggest that future research evaluate three dimensions of research outcomes: scientific impact, economic outcomes, and public health impact for evaluating research performance within an academic institutional environment.

Supporting information

S1 table. prisma checklist..

https://doi.org/10.1371/journal.pone.0193762.s001

Acknowledgments

The authors wish to thank Chris Brown and Jill Pipher for their reviews and advice on this manuscript, and Nadine Mansour for her assistance with data collection.

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PubMed/NCBI
16. Carmines EG, Zeller RA (1979) Reliability and validity assessment: Sage publications.
18. NIH (2017) NIH and Other PHS Agency Research Performance Progress Report (RPPR) Instruction Guide. Bethesda, MD.

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Research & Ranking’s unique strategy creates phenomenal wealth for investors

Creating wealth from the stock market is both a science and an art which requires detailed research and a little patience..

With whopping 480% Gains in 6 Years, India’s leading equity advisory Research & Ranking has proved this right and helped over 15000 investors and 1500 lifetime investors fulfil their financial goals effortlessly. The advisory strongly believes in educating and empowering investors, and their registered users include over 3,50,000 investors who are only growing by the day.

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Disclaimer: This content is distributed by Digpu News Network. No HT journalist is involved in creation of this content.

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College Surveys Are in the Field

Most updates to this year's Best Colleges surveys are minimal.

Best Colleges Surveys Are Out

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On April 24, U.S. News emailed schools access to the main and financial aid surveys used in the Best Colleges rankings. Contacts who have not received them should check their spam folders, and if necessary email [email protected] for help. Note that finance surveys were discontinued and peer assessment surveys, including those used to rank popular disciplines, will be sent to their respective contacts toward the end of May.

U.S. News will again rank all eligible colleges and universities, regardless of their participation, using older publicly available data when needed. But schools that submit surveys will have richer, more discoverable profiles for prospective students searching those profiles on usnews.com . Therefore, schools advocating that prospective students consider more than the rankings should be the fastest to turn in their surveys.

The deadline for respondents to complete as much of the surveys as possible is June 14. This date will be strictly enforced so that U.S. News and schools have time to resolve follow-up quality assurance steps.

Most U.S. News updates to this year’s surveys are minimal and definitional. They are aligned with changes to the Common Data Set – a collaborative effort among U.S. News, the College Board and Peterson’s for collecting high-quality, accurate information from schools. The one deviation from CDS is that schools will again be instructed to report only SAT/ACT scores used in admissions decisions, aligned with the U.S. Department of Education’s reporting instructions.

The latest research on the strong relationship between standardized testing and academic preparedness is no surprise to the U.S. News rankings team. For over a generation, U.S. News research has shown SAT/ACT scores are a strong predictor of students graduating from college, independent of their grades and socioeconomic status. This is why the rankings formulas have continued using these scores despite fewer test-takers. U.S. News will continue studying its treatment of reported SAT/ACT scores and the percent of new entrants on which these scores were reported.

U.S. News is collecting one major new statistic for the main survey following feedback from several universities. Respondents are asked to report six-year graduation rates of first-generation bachelor’s students. Given the importance of schools educating and supporting individuals with lower propensity to complete, U.S. News had hoped that by now the Department of Education would have made this information part of its annual data collection. Absent this, U.S. News needed to lead on collecting this information, which will likely be published on schools' profile pages.

The survey’s first-generation definition aligns with what is used by the Common Application definition and the National Student Loan Data System. Namely, a student is first-generation if no parent has a bachelor's degree or higher, or if there is no information provided for degree level for either parent.

This is the first year this data is being collected, and it has not been determined when and how the data will be incorporated. On this and other methodology matters, school feedback to [email protected] is welcomed.

The rankings formulas will again be issued to schools that submitted a U.S News survey before the next Best Colleges edition’s public release. The formulas will sustain last year’s reduced focus on inputs like alumni giving in favor of outcome measures like graduation rates. That is because prospective students prioritize outcome measures linked to academic quality and return on investment.

Tags: colleges , students , education , surveys

About Morse Code: Inside the College Rankings

Robert Morse is chief data strategist for U.S. News & World Report and has worked at the company since 1976. He develops the methodologies and surveys for the Best Colleges and Best Graduate Schools annual rankings, keeping an eye on higher-education trends to make sure the rankings offer prospective students the best analysis available. Morse Code provides deeper insights into the methodologies and is a forum for commentary and analysis of college, grad and other rankings.

2024 Best Colleges

Search for your perfect fit with the U.S. News rankings of colleges and universities.

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Asia University Rankings 2024

The Times Higher Education Asia University Rankings 2024 use the same 18 performance indicators as the THE World University Rankings, but they are recalibrated to reflect the attributes of Asia’s institutions.

The universities are judged across all their core missions – teaching, research, knowledge transfer and international outlook – to provide the most comprehensive and balanced comparisons available. The 2024 edition of the rankings introduces significant updates to the original methodology.

View the Asia University Rankings 2024 methodology

Tsinghua University and Peking University in China take the first and second positions for the fifth year in a row. Five mainland Chinese universities feature in the top 10, compared with four last year. Zhejiang University enters this group, moving up from 12th to ninth.

With two universities each, Hong Kong and Singapore have the second-highest representation in the top 10. However, Hong Kong’s leading universities drop in rank while Singapore’s remain stable or gain ground.

The University of Tokyo, which is Japan’s top institution, rises from eighth to fifth, its highest position since 2015.

Meanwhile, South Korea’s top institution, Seoul National University, drifts further away from the top 10, dropping three places to 14th.

In the top 100, mainland China dominates with 33 universities, followed by South Korea with 16.

The 2024 ranking includes 739 universities from 31 territories.

With 119 universities, Japan remains the most-represented nation this year. India follows with 91 institutions.

A total of 98 universities have joined the rankings since last year. This increase is led by India, Turkey, Iran and Pakistan.

Read our analysis of the Asia University Rankings 2024 results

Download a free copy of the Asia University Rankings 2024 report

To raise your university’s global profile with THE , contact [email protected]

To unlock the data behind THE ’s rankings and access a range of analytical and benchmarking tools, contact [email protected]

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Asia University Rankings 2024: results announced
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Talking leadership: SKKU’s Ji-Beom Yoo on allowing failure
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The Best Scales for Weight Loss: Smart, Digital, and Analog Scales Reviewed

W hen you embark on a body transformation journey, a scale can help you track your progress and stay on top of your goals. In fact, a study published in 2021 suggests that people who weigh themselves frequently may be more likely to lose weight .

Several types of scales can help you track your progress, from simple analog dial scales to smart models that approximate your muscle and body fat percentages. To help you narrow down the choices, we searched high and low to find the best scales in three main categories: smart, digital, and analog. Discover our picks below and get expert-approved tips on weighing yourself for accurate results.

Our Scale Categories

We researched scales in three categories:

Smart scales can estimate more than just your weight; they also offer information about your total body composition. However, research suggests that at-home models don’t always provide accurate measurements. So they won’t be as accurate in revealing your body fat percentage, for example, as a DEXA scan or body fat caliper, but they can provide baseline data points for you to track changes.
Digital scales usually measure electric voltages to determine your weight. They typically run on batteries and display your results on a digital face.
Analog scales typically use a spring system to generate your results, which are displayed on a dial. They don’t need batteries to operate.

In general, the most important thing a scale provides is a starting point for your current weight, explains Cesar Sauza, RDN, with Culina Health . “A not-so-accurate scale will still be beneficial to obtain a starting weight and to monitor progress.” In other words, it’s all right if a scale is a little off, as long as it provides a good baseline and a general idea of your results.

When choosing our top scales in each category, we also paid attention to the following criteria.

High-Ranking Bestsellers

We looked for scales that sell well on Amazon and with other retailers, and for brands that have a loyal customer base. If users on Reddit or TikTok couldn’t stop talking about a particular brand or scale model, that helped put it on our radar. We also only included scales with an average of four stars or higher on Amazon.

Research and Expert Recommendations

We looked at research about the validity of certain scales as well as a blog post written by one of the study's researchers to find models that performed well in terms of reliability and accuracy. We also interviewed four experts for their insight and brand recommendations, including a registered dietitian, a nurse practitioner, and two doctors who specialize in obesity medicine.

We included scales at a variety of price points, with options ranging from $29 to $250. “More expensive scales, like the ones we have in our office, tend to be more accurate and more precise,” explains Angela Fitch, MD, chief medical officer and president of the Obesity Medicine Association at Knownwell .

Angela Fitch, MD, chief medical officer and president of the Obesity Medicine Association at Knownwell
Amy Lee, MD, chief medical officer at Lindora, a weight loss clinic
Cesar Sauza, RDN with Culina Health
Roshini Singh, RN, board-certified nurse practitioner

Regardless of the scale model you ultimately choose, the following tips could help you get the most accurate and consistent results.

Weigh yourself at the same time. For reliable results, Lee recommends weighing yourself around the same time every day, such as in the morning after you’ve gone to the bathroom and before you eat or drink anything. Wear little clothing. This way, you can eliminate variables that might affect the result.
Use the same scale. To keep tabs on progress, use the same scale and either a health-tracking app or pen and paper to log any changes in your weight over time.
Don’t get too wrapped up. While some studies associate daily weigh-ins with higher rates of weight loss, Lee suggests weighing at a more casual rate of once or twice per week. “People who weigh themselves daily could get too wrapped up over half-pound fluctuations,” she explains. Giving yourself a longer period could help you monitor your progress without stressing the small things.
Use the right surface. It’s best to place a scale on a hard, even surface like the bathroom or kitchen floor. If the floor has bumpy tiles, slip an inflexible hard object like a plastic cutting board under your scale to even out the surface.
Celebrate nonscale victories. Remember to pay attention to other markers of progress beyond just the number on the scale. Sauza suggests keeping an eye on how your clothes fit.

If you’re ready to embark on a weight loss journey , the right scale can help you monitor your progress over time. There are several scales you can use to do the trick, with different features, pros, cons, and price points.

Smart scales can give you insight into your overall body composition from the privacy of your own bathroom. They can also sync with your favorite health apps to provide an easy way to track your progress. A plain digital scale can give you fast and reliable results, while an analog scale can forego the need for batteries.

No matter which scale you choose, remember to set the scale on a level surface, weigh around the same time every day, and avoid getting wrapped up in minor weight fluctuations. Scales can be a useful tool to track your body's transformation over time, but remember: The number they display isn’t the only thing that matters in regards to your health. “Weight is a part of the grand picture. It's never about just one general measurement,” says Singh.

Vuorinen A et al. Frequency of Self-Weighing and Weight Change: Cohort Study With 10,000 Smart Scale Users. Journal of Medical Internet Research . June 28, 2021.
Frija-Masson J et al. Accuracy of Smart Scales on Weight and Body Composition: Observational Study. JMIR mHealth and uHealth . April 30, 2021.
Siedler M et al. Assessing the Reliability and Cross-Sectional and Longitudinal Validity of 15 Bioelectrical Impedance Analysis Devices. British Journal of Nutrition . 2022.
How Accurate Is Your At-home Body Scale? Our New Research Study Can Tell You. GrantTinsley.com .
Pacanowski C et al. Daily Self-Weighing to Control Body Weight in Adults: A Critical Review of the Literature. SAGE Open . December 14, 2014.

The Best Scales for Weight Loss: Smart, Digital, and Analog Scales Reviewed

More From Forbes

Global top 10 best-selling smartphones: all from apple, samsung.

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Global best-selling smartphones for Q1 2024

Every single one of the top ten best-selling smartphones globally is from one of just two companies: Apple and Samsung. Counterpoint Research just released its report on the top ten best-selling phones, and it’s a pretty familiar story from last year: Apple and Samsung cleaned up.

One change: people are spending more for iPhones, with Apple’s pricy Pro line growing to represent half of all iPhone sales so far this year, up from just 24% in 2023. It’s not just the Pro models that are doing well: Apple’s bigger Max models are also cleaning up, a sign that people increasingly want larger smartphones, says Counterpoint.

Here are the top 10 best-selling models of smartphones globally for Q1 2024, along with the percentage of total smartphone sales they captured:

iPhone 15 Pro Max: 4.4%
iPhone 15: 4.3%
iPhone 15 Pro: 3.7%
iPhone 14: 1.9%
Galaxy S24 Ultra: 1.9%
Galaxy A15 5G: 1.5%
Galaxy A54: 1.4%
iPhone 15 Plus: 1.3%
Galaxy S24: 1.0%
Galaxy A34: 1.0%

In the same quarter a year ago, Apple also captured the top four global best-selling spots.

Samsung’s high-end Galaxy S24 Ultra also did well, just as Samsung unseated Apple as the phone maker shipping the most units globally.

“The strong performance of the S24 series can be attributed to Samsung’s early refresh of the series, and its efforts in generative AI (GenAI) technology,” Counterpoint says . “The S24 series was the first to reach the market with GenAI features and capabilities, allowing users to create unique content and experience a new level of interaction with their smartphones.”

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Baby reindeer real martha reveals identity in photo with piers morgan, 2 obvious signs of workplace gaslighting from a psychologist.

The downside of people choosing bigger, better, and more expensive phones: they’re also holding on to those phones for longer, and not upgrading as quickly. For Apple, Samsung, and other smartphone manufacturers, that means fewer sales per year even as cost per unit goes up.

That said, however, Q1 2024 also saw the highest smartphone revenue of any first quarter in history as the global smartphone market grew 6% to hit almost 300 million units shipped, Counterpoint reported just three days ago.

There’s clearly still a market for lower-end and less expensive phones: Apple’s iPhone 14 was the fourth-highest-selling model on the planet, and Samsung’s Galaxy A34 and A54, plus A15 5G, joined its S24 and S24 Ultra model in the top ten.

As selling smartphone units gets harder, Apple is transferring some of its focus to better and more valuable services, which people buy regardless of whether they have a new phone or not. In its recent quarterly earnings report, Apple beat forecasts of $23.1 billion in services revenue, hitting $23.9 billion to go along with a flat quarter of $46 billion of revenue from iPhone sales.

That flat quarter is somewhat concerning, especially given that Apple’s new sales in the U.S.—traditionally a strong market for the company—hit the lowest point in six years last quarter.

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4 Reasons to Bet on Bitcoin ETFs for the Rest of 2024

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New Strong Buy Stocks for May 10th

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Dow Jones outperforms at the start of May as the market rally broadens and reconstruction of the index finally pays off.

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Society and culture
Equality, rights and citizenship

Gender equality and social inclusion mainstreaming research: final report

This report sets out how gender equality and social inclusion can be integrated into British Embassy Kathmandu’s development programmes and lessons for global FCDO programmes.

Gender equality and social inclusion mainstreaming research: final report, March 2024

PDF , 3.26 MB , 143 pages

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Gender equality and social inclusion mainstreaming research: extended executive summary, April 2024

PDF , 1.21 MB , 21 pages

Gender equality and social inclusion mainstreaming research: stage one, global literature review, March 2024

PDF , 1.59 MB , 50 pages

Gender equality and social inclusion mainstreaming research: management response and recommendations action plan

PDF , 175 KB , 8 pages

This report brings together the findings, recommendations and lessons from a one-year qualitative study, commissioned by British Embassy Kathmandu ( BEK ) and undertaken by Adam Smith International ( ASI ).

The research aimed to identify learnings on how to integrate gender equality and social inclusion ( GESI ) within development programmes. It aims to inform future work and improve higher standards in GESI across BEK programmes and Foreign, Commonwealth & Development Office ( FCDO ) more broadly.

View more information on the GESI mainstreaming research project on the Adam Smith International website . This includes additional materials including a research digest, GESI mainstreaming checklist, and video presentation.

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Figures | Intelligent Investment

Q1 2024 Asia Pacific Cap Rate Survey

May 2, 2024 5 Minute Read

Looking for a PDF of this content?

CBRE professionals in Asia Pacific note that the timing for a recovery in investment activity has been pushed back amid limited risk appetite and delays to interest rate cuts. Nearly 70% of respondents expect a recovery from Q4 2024 onwards.

Investors remain net sellers – particularly real estate funds, property companies and banks – but pressure is easing. Meanwhile, private investors continue to have strong net buying intentions. The price gap between buyers and sellers is also narrowing across sectors – office, retail, hotels, multifamily, data centres and institutional-grade modern logistics – indicating stronger support for deal closure.

The survey reveals that in terms of investor preferences, flight-to-quality demand remains, while hotel and multifamily assets are gaining traction on cyclical and structural tailwinds.

Cap rate expansion is expected across most markets in Asia Pacific, with cap rates in Australia to expand further, while Japan will remain stable. More pronounced expansions are expected in secondary assets over the next six months.

CBRE believes that with interest rates having peaked in most Asia Pacific economies, investors should aim to complete acquisitions before rate cuts commence, with the optimal buying window expected to open in the second half of 2024.

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Q3 2023 asia pacific cap rate survey.

November 9, 2023

CBRE professionals in Asia Pacific observe that investor risk appetite remains low amid a delayed recovery in investment activity. A majority of respondents exp...

Research Contacts

Henry chin, ph.d..

Global Head of Investor Thought Leadership & Head of Research, Asia Pacific

Phone +852 2820 8160

Ada Choi, CFA

Head of Occupier Research & Head of Data Intelligence and Management, Research, Asia Pacific

Phone +852 2820 2871

Manager, Research, Asia Pacific

Capital Markets Contacts

Greg hyland.

Head of Capital Markets, Asia Pacific

Phone +65 6224 8181
Mobile +65 9818 1537

Crystal Palar

Executive Managing Director, Capital Markets, Asia Pacific

Callum Young

Executive Director, Capital Markets, Asia Pacific

Mobile +852 5723 9689

Steve Carroll

Head of Hotels, Asia Pacific

Phone +65 91791439

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Phone +1 214 863 3322
Mobile +1 214 728 3746

Head of Valuation & Advisory Services, Asia, Middle East, and Africa and Head of International Valuations, Asia Pacific

Phone +852 2820 2921

Executive Director, Head of Valuation & Consulting, Greater China

Phone +852 2820 8115
Mobile +852 9198 0988

Duncan Guthrie

Senior Managing Director, Valuation & Advisory Services, Pacific

Phone 1300 407 092

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Amber Enterprises. 7%. in 33 Months. (Sep'2020 - May'2023) The data provided above is sourced from NSE. * The performance represented on this page is historical. Please note that past performance is not a reliable indicator of future performance. Equity investments are subject to market risks. Read all terms & documents carefully.
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Q1 2024 Asia Pacific Cap Rate Survey
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