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Regional Research of Russia
Regional Research of Russia is the sole social science English-language journal focused on the spatial development of Russia and its regions and the post-Soviet states. The journal covers issues of economic and human geography, regional geography, regional economics and sociology, spatial planning, regional policy, urban and rural studies, and geography of resource management. The journal presents scientific results gained by researchers both in Russia and abroad. It aims to promote contacts between Russian and foreign regional specialists. Although articles are devoted to regional problems of Russia and the post-Soviet space, the journal welcomes contributions from all countries . Regional Research of Russia publishes English translations of articles selected from three Russian academic journals:
- Izvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya,
- Izvestiya Russkogo Geograficheskogo Obshchestva,
- Region: Ekonomika i Sotsiologiya.
and from other Russian-language journals on a case-by-case basis, as well as original papers. The source of each article is described at the article level on the title pages. The selection for Regional Research of Russia is made by the Editorial Board. Both original papers and the articles selected from other journals are peer-reviewed and subject to the same high standards for the quality of content, and publication ethics. The editorial policy is consistent for all parts of the journal. The journal welcomes manuscripts from all countries. PEER REVIEW AND EDITORIAL POLICY The journal follows the Springer Nature Peer Review Policy, Process and Guidance , Springer Nature Journal Editors' Code of Conduct , and COPE's Ethical Guidelines for Peer-reviewers . Approximately 30% of the manuscripts are rejected without review based on formal criteria as they do not comply with the submission guidelines. Each manuscript is assigned to at least one peer reviewer. The journal follows a single-blind reviewing procedure. The period from submission to the first decision is up to 38 days. The approximate rejection rate is 20%. The final decision on the acceptance of a manuscript for publication is made by the Meeting of Editorial Board members. If Editors, including the Editor-in-Chief, publish in the journal, they do not participate in the decision-making process for manuscripts where they are listed as co-authors. Special issues published in the journal follow the same procedures as all other issues. If not stated otherwise, special issues are prepared by the members of the editorial board without guest editors.
Current Issue
Vol 9, No 4 (2019)
- Articles: 11
- URL: https://journals.rcsi.science/2079-9705/issue/view/12880
Institutional Problems of Spatial Development
The legal environment and regional activity.
The specifics of the current socioeconomic situation and the state and prospects of development of Russian regions and municipalities are largely determined by the legal environment, which forms under the strongest influence of the “federal presence”—centralization of the federal government in a decentralized state. In fact, the legal field of Russian municipal activity is completely federal: the list of jurisdictions and powers is closed, the types of municipal formations are unified, and the organization of activities and resources for local self-government are established by federal laws. It has been suggested that the territorial fragmentation of the country’s unified legal space should be considered the most important characteristic of the sociopolitical and socioeconomic heterogeneity of the Russian space. The article critically assesses ideas about the possibility of solving the problems of Russia’s spatial development mainly by the formation of local points (zones) of growth. The concentration of features and problems of the functioning of regional and municipal systems under conditions of Russia’s specific legal field is characterized by Russia’s Arctic zone. In the context of their views on the territorial fragmentation of this field, the authors analyze software solutions for a new type of special legal regime, “development support zones” in Arctic territories.
Structural Transformations of the Municipal Space: Substantiation of Expediency and Evaluation of Efficiency
The article discusses a set of scientific and applied problems about the meaning and bases, content, and consequences of structural transformations of the municipal space. Interest in these problems is caused by the need to search for reasons for the increased variability of the structural organization of this space, which throughout the post-Soviet period has not only undergone individual situational changes, but has repeatedly been the object of intensive and ubiquitous targeted state (at federal and regional levels) transformations that have had a contradictory nature of the reciprocating pulsations according to the reform–counterreform scheme. A retrospective analysis of the mass transformations in the territorial organization of local self-government that consistently took place in the 1990s, 2000s, and 2010s leads to such conclusions. The author clarifies the reasons for the three quantitative and structural transformations opposite in meaning and fundamental in their consequences over such a short period, the requisite criteria (economic, financial, legal, etc.) for which formed the basis for the choice of spatial configuration variants, which rapidly replaced one another and were the results of changes. Russian processes of spatial transformation of the system of local self-government are compared with similar foreign practice. The fundamental possibility and availability of theoretical bases for formulating and solving the problem of rational determination of the spatial scale of municipalities (configuration of the municipal space) are clarified, and a conceptual approach, criteria, and methodological bases for systemic assessment of the prerequisites and efficiency of structural transformations of the municipal space are discussed.
Spatial Studies
Approaches to identifying the periphery and peripheralization in the space of modern russia.
The article addresses problems of the periphery and peripheralization of Russia’s spatial development, a significant part of which experienced negative socioeconomic development during the transition to a market economy and continues to struggle at present. Theoretical approaches of Russian and foreign authors to defining the concepts of periphery and peripheralization of space are considered. By comparative analysis and systematization, the authors have identified the six basic approaches researchers use to define the term periphery: positional, functional, problematical, generative-translational, social, and subjective. The content and features of each approach are also revealed. The authors have highlighted such basic properties of the periphery as multiform remoteness, economic degradation, social marginalization, multiscale character, migration outflow, ubiquity, relativity, and weak involvement in global economic relations. A system of indicators is proposed that characterize the periphery in accordance with the identified approaches. The spatial development of individual centers of Russia along with degradation of most of its territory significantly actualizes the question on the future of the Russian periphery and its impact on the spatial development of the country as a whole. Due to its own weak potential, the Russian periphery cannot independently attract socioeconomic development and requires strengthening of state regulation measures based on the competitive advantages of each territory.
Territorial Structure of the Russian Digital Economy: Preliminary Delimitation of Smart Urban Agglomerations and Regions
The fourth industrial revolution will form a new digital economy in Russia, dominated by smart objects (factories, transport, roads, buildings, etc.) with artificial intelligence systems. There are currently no studies on identifying the territorial structure of Russia’s future digital economy. Due to the inertia of the existing settlement system and the agglomeration economy, it has been assumed that the future territorial structure will be represented by smart urban agglomerations and regions. It has been established that the most critical parameter for controlling smart objects is signal delay in telecommunication networks. It has been proposed to draw the borders of digital agglomerations and regions based on isochrons of 1 and 10 ms delays with adjustment of borders for the extreme proximity or remoteness of regional centers. The signal delay between 1112 cities of Russia has been determined. Forty-three digital agglomerations and 45 regions were selected. The results can be used to create a development strategy for Russia’s digital economy.
Regional Development
Old-developed regions of the russian center in the shadow of the moscow capital region.
This paper discusses Moscow’s influence on the regions surrounding Moscow oblast in terms of various parameters associated with changes in the population size of cities and rural areas, economic activity, employment, mobility of the population, land use, and dacha development. Located relatively close to Moscow and enjoying no advantages of the nearby Moscow suburbs, the regions around Moscow oblast are nonetheless strongly influenced by the capital. The historical waves of city formation around the metropolitan region and population dynamics in the 20th and 21st centuries are shown. The post-Soviet transformation strongly polarized cities depending on their size and position with respect to the Moscow region. The invariance of the suburban–peripheral organization of the countryside, which experienced a strong contraction in land use, is revealed. However, against the fields abandoned and overgrown with forest, a new industrial agriculture with a small number of employees was actively developing here in separate areas, aimed at supplying Moscow and the entire country. A small private economy has been decreasing under prolonged, intensive decline in the rural population and expansion of non-agricultural earning opportunities in the Moscow region. This territory is characterized by the most active labor commutes to Moscow and Moscow oblast, which often provide informal employment for the populations of small towns and rural areas. Competitors of the Moscow region, although weaker, are the capitals of the surrounding regions. The share of the temporary dacha population in the summer months in many areas, especially those adjacent to Moscow oblast, is higher than that of the local rural one. The polarized development of cities depending on the proximity to the Moscow metropolitan area and point-type industrialization of the rural economy, combined with the massive development of seasonal dacha recreation, is the main route for development of this large territory.
Regional Investment Policy: How to Overcome the Path Dependence
The article is devoted to investment policy, in its most interesting case when it is designed to change the path of a region’s development established over decades. The grassroots innovative potential of investment policy is shown, which is understood as the plans and intentions of local entrepreneurs who are able, independently or with state support, to make investments in new areas of development. Their investment potential, as a rule, is not comparable with large corporate structures, federal development institutions, or federal programs; however, the quality of their investment in terms of ability to ensure the transition of a city or even a region from an inertial development path to a new one can be significantly higher. A broader interpretation of regional investment policy is proposed, which takes into account not only traditional large actors, but also small ones. The need for close coordination of investment policy and business support policy is substantiated. Overcoming path dependence is understood as a change in the existing specialization of a region’s development. One could scarcely hope for an immediate change in regional specialization under the pressure of globalization; it is more realistic to see the prospects of cities and settlements gaining new microspecialization as a result of implementing innovative small business projects proposed by small and medium-sized enterprises that open up new directions for the local economy. Then, when the success of new business projects has been developed by other entrepreneurs or when an enterprise lucky enough to choose a promising new direction of local development has become a gazelle company and entered foreign markets, it would be possible to consolidate the sprouts of new local specialization in regional specialization .
Social Geography
Territorial mobility of the russian population in the context of social dynamics.
Migration of working-age people is considered in regards to intergenerational social mobility. The latter is understood as an improvement in one’s level of education, material well-being, or job position compared to the corresponding characteristics of one’s parents. Migration is a powerful social elevator: often search for a better job motivates people to move. The aim of the article is to estimate the impact of place of residence change on social dynamics. The study is based on data from the regular all-Russian sociological survey “Person, Family, Society” (PFS). To define social classes we apply stratification methodology based on three domains of criteria—wealth, socio-professional status, and subjective indicators. Among social strata the middle class is the least mobile, while the lower class demonstrates the highest territorial mobility. Most often, moving to another locality takes place due to family circumstances, and this kind of migration is the most typical for the lower class. The hypothesis about the positive impact of any migration on socioeconomic growth has not been confirmed by PFS data. However, relocations for study lead to upward intergenerational mobility in education and employment status. Migration for family reasons has an opposite effect: all else being equal, it reduces a person’s chances to surpass her/his parents in terms of wealth and level of education.
People and Money: Incomes, Consumption, and Financial Behavior of the Population of Russian Regions in 2000–2017
Macroeconomic dynamics affects regional population incomes and the poverty level: positive changes in the regional distribution of these indicators slowed in the 2010s, and during the 2014–2017 crisis, there was a negative trend, which was more appreciable in the poverty level. Income dynamics has a stronger effect on consumption patterns and a weaker effect on the financial behavior of the population. The share of food expenditures declined in all regions until the 2014 crisis; it was minimal in the most developed regions. The structural shift in spending in favor of durable goods, including housing, is far from complete in most regions. The increase in expenditure on services is largely mandatory, due to the increase in utility rates; regional differences are small, with the exception of regions of the Far North. The spendings for reproducing human capital is low and varies slightly by region. The population of “wealthy” regions prefers to spend money on recreation and entertainment, but these expenses contract during income crises. Savings behavior is the most developed in the largest federal cities. Overdue debt on loans is higher in underdeveloped low-income republics and in resource-producing regions, where the population seeks to maintain consumption level by taking out loans. The basic factor of changes in the structure of consumption and in financial behavior are people’s incomes, but they are insufficient to explain regional differences; it is necessary to take into account demographic, settlement pattern, and institutional factors.
Urban Development
Largest urban agglomerations and forms of settlement pattern at the supra-agglomeration level in russia.
The paper analyzes the development trends of Russia’s largest urban agglomerations following the last census, in the period 2010–2018. According to the methodology, based on the functional and settlement pattern approach and the isochrons of transport accessibility of agglomeration cores, the boundaries were delimited and the population dynamics and development coefficient of Russia’s 36 largest urban agglomerations (with cores in cities or in a group (for several geographically close centers) having populations close to 500 000 people). The calculation results are presented for four delimitation variants, from minimum to maximum, the latter based on E.E. Leizerovich’s microzoning grid. For the given period, the number of urban agglomerations was not redistributed between the classes of development and the number of developed agglomerations remains low. The study reveals the trends of continued population concentration in the largest agglomerations and their cores. The case study of the Moscow metropolitan agglomeration illustrates the monocentric character of most of the largest agglomerations. A study of the higher supra-agglomeration structure—of the Central Russian Megalopolis—revealed its fragmentation and the lack of development of lower-level agglomeration formations.
The Moscow Social Space: Features and Structure
The article presents the results of a study on analyzing intracity differences in Moscow. The concept of “social space” as a dual reality is used as the theoretical framework of the work, derived simultaneously from social relations and properties of an urban area. In the study, heterogeneous quantitative indicators were used for each of Moscow’s 125 districts. Sources of information are a census; current socioeconomic, demographic, migration, and electoral statistics; real estate data; surveys of residents in districts of the city. Based on these, the indices of the ethnic mosaic, demographic shifts, development of the urban amenities, people’s moods, and the reputation of place are calculated; districts are categorized by typology, taking into account factors of location and territorial proximity; maps are compiled, reflecting different dimensions of the city’s social space. Comparative analysis showed that the rather egalitarian social space of Soviet Moscow in past years has become more fragmented and polarized: the boundaries of differences have become more marked. The increase in unevenness has led to tangible divisions in improvement of the urban environment, saturation of the urban well-being of some districts, and the impoverishment of others. The authors conclude that, in order to reduce the risks of urban segregation, it is necessary to strengthen the coherence of the urban space and social environments, and to bring the level of diversity of the urban environment in line with that of the population of Moscow districts. Such policies and activity are most required where rapid growth of ethnocultural diversity occurs against a lack of development, relative transport isolation of districts, and social exclusion.
Coastal Cities and Agglomerations in the Innovative Space of Western Russia
A wide range of scientific studies worldwide reflects the influence of the coastal situation factor. The shift of socioeconomic activity and the settlement system to the sea and ocean coasts forms the prerequisites for changing the national innovation landscape. The paper revolves around coastal cities and agglomerations in western Russia based on how they influence innovation processes. The authors present a typology and emphasize the characteristics of the key coastal cities and agglomerations in European Russia as transformational elements of the innovation space. It is revealed that the tourist, marine, transport and logistics, trade and distribution, and industrial components control the strategic relevance of cities and urban agglomerations in European Russia in the development of Russia’s territorial social system. Their role as a transformational element of the innovation space is not quite obvious, unlike similar agglomerations in foreign countries. Innovation support institutions are just beginning to form; they have appeared in the largest agglomerations in the early 2000s, and over the past few years in remaining cities considered. Currently, it is still difficult to assess the contribution of these institutions to the formation of Russian cities as innovation drivers. The authors offer indicators that demonstrate this important city activity. Based on the scoring method, coastal cities and agglomerations in European Russia have been divided into four groups: generator cities, starting generator cities, cities with the potential to generate innovative processes, and cities with weak potential. It was found that cities launch innovative processes precisely through strategic innovations (support institutions, technological environment, and agent operators). At the same time, not only the largest cities have great opportunities, but also individual regional centers integrated into regional development programs and actively force the transition to the smart city platform.
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Regional Research of Russia
Subject Area and Category
- Earth and Planetary Sciences (miscellaneous)
- Economics, Econometrics and Finance (miscellaneous)
- Environmental Science (miscellaneous)
- Cultural Studies
- Geography, Planning and Development
- Public Administration
- Urban Studies
Pleiades Publishing
Publication type
20799705, 20799713
Information
How to publish in this journal
The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles. Q1 (green) comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest values and Q4 (red) the lowest values.
Category | Year | Quartile |
---|---|---|
Cultural Studies | 2022 | Q1 |
Cultural Studies | 2023 | Q1 |
Earth and Planetary Sciences (miscellaneous) | 2012 | Q3 |
Earth and Planetary Sciences (miscellaneous) | 2013 | Q4 |
Earth and Planetary Sciences (miscellaneous) | 2014 | Q3 |
Earth and Planetary Sciences (miscellaneous) | 2015 | Q3 |
Earth and Planetary Sciences (miscellaneous) | 2016 | Q3 |
Earth and Planetary Sciences (miscellaneous) | 2017 | Q3 |
Earth and Planetary Sciences (miscellaneous) | 2018 | Q3 |
Earth and Planetary Sciences (miscellaneous) | 2019 | Q3 |
Earth and Planetary Sciences (miscellaneous) | 2020 | Q2 |
Earth and Planetary Sciences (miscellaneous) | 2021 | Q2 |
Earth and Planetary Sciences (miscellaneous) | 2022 | Q3 |
Earth and Planetary Sciences (miscellaneous) | 2023 | Q3 |
Economics, Econometrics and Finance (miscellaneous) | 2019 | Q2 |
Economics, Econometrics and Finance (miscellaneous) | 2020 | Q2 |
Economics, Econometrics and Finance (miscellaneous) | 2021 | Q2 |
Economics, Econometrics and Finance (miscellaneous) | 2022 | Q2 |
Economics, Econometrics and Finance (miscellaneous) | 2023 | Q2 |
Environmental Science (miscellaneous) | 2019 | Q3 |
Environmental Science (miscellaneous) | 2020 | Q2 |
Environmental Science (miscellaneous) | 2021 | Q2 |
Environmental Science (miscellaneous) | 2022 | Q3 |
Environmental Science (miscellaneous) | 2023 | Q3 |
Geography, Planning and Development | 2012 | Q4 |
Geography, Planning and Development | 2013 | Q4 |
Geography, Planning and Development | 2014 | Q4 |
Geography, Planning and Development | 2015 | Q3 |
Geography, Planning and Development | 2016 | Q3 |
Geography, Planning and Development | 2017 | Q3 |
Geography, Planning and Development | 2018 | Q3 |
Geography, Planning and Development | 2019 | Q3 |
Geography, Planning and Development | 2020 | Q2 |
Geography, Planning and Development | 2021 | Q2 |
Geography, Planning and Development | 2022 | Q2 |
Geography, Planning and Development | 2023 | Q2 |
Public Administration | 2019 | Q3 |
Public Administration | 2020 | Q2 |
Public Administration | 2021 | Q2 |
Public Administration | 2022 | Q3 |
Public Administration | 2023 | Q3 |
Urban Studies | 2019 | Q2 |
Urban Studies | 2020 | Q2 |
Urban Studies | 2021 | Q2 |
Urban Studies | 2022 | Q2 |
Urban Studies | 2023 | Q2 |
The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.
Year | SJR |
---|---|
2012 | 0.139 |
2013 | 0.122 |
2014 | 0.150 |
2015 | 0.265 |
2016 | 0.209 |
2017 | 0.213 |
2018 | 0.320 |
2019 | 0.253 |
2020 | 0.417 |
2021 | 0.426 |
2022 | 0.344 |
2023 | 0.331 |
Evolution of the number of published documents. All types of documents are considered, including citable and non citable documents.
Year | Documents |
---|---|
2011 | 45 |
2012 | 43 |
2013 | 55 |
2014 | 46 |
2015 | 44 |
2016 | 40 |
2017 | 40 |
2018 | 38 |
2019 | 40 |
2020 | 57 |
2021 | 73 |
2022 | 66 |
2023 | 74 |
This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.
Cites per document | Year | Value |
---|---|---|
Cites / Doc. (4 years) | 2011 | 0.000 |
Cites / Doc. (4 years) | 2012 | 0.067 |
Cites / Doc. (4 years) | 2013 | 0.080 |
Cites / Doc. (4 years) | 2014 | 0.091 |
Cites / Doc. (4 years) | 2015 | 0.249 |
Cites / Doc. (4 years) | 2016 | 0.324 |
Cites / Doc. (4 years) | 2017 | 0.459 |
Cites / Doc. (4 years) | 2018 | 0.671 |
Cites / Doc. (4 years) | 2019 | 0.728 |
Cites / Doc. (4 years) | 2020 | 0.937 |
Cites / Doc. (4 years) | 2021 | 1.097 |
Cites / Doc. (4 years) | 2022 | 1.385 |
Cites / Doc. (4 years) | 2023 | 0.856 |
Cites / Doc. (3 years) | 2011 | 0.000 |
Cites / Doc. (3 years) | 2012 | 0.067 |
Cites / Doc. (3 years) | 2013 | 0.080 |
Cites / Doc. (3 years) | 2014 | 0.091 |
Cites / Doc. (3 years) | 2015 | 0.264 |
Cites / Doc. (3 years) | 2016 | 0.379 |
Cites / Doc. (3 years) | 2017 | 0.415 |
Cites / Doc. (3 years) | 2018 | 0.742 |
Cites / Doc. (3 years) | 2019 | 0.746 |
Cites / Doc. (3 years) | 2020 | 0.890 |
Cites / Doc. (3 years) | 2021 | 1.126 |
Cites / Doc. (3 years) | 2022 | 1.447 |
Cites / Doc. (3 years) | 2023 | 0.878 |
Cites / Doc. (2 years) | 2011 | 0.000 |
Cites / Doc. (2 years) | 2012 | 0.067 |
Cites / Doc. (2 years) | 2013 | 0.080 |
Cites / Doc. (2 years) | 2014 | 0.082 |
Cites / Doc. (2 years) | 2015 | 0.287 |
Cites / Doc. (2 years) | 2016 | 0.344 |
Cites / Doc. (2 years) | 2017 | 0.452 |
Cites / Doc. (2 years) | 2018 | 0.925 |
Cites / Doc. (2 years) | 2019 | 0.705 |
Cites / Doc. (2 years) | 2020 | 0.897 |
Cites / Doc. (2 years) | 2021 | 1.165 |
Cites / Doc. (2 years) | 2022 | 1.331 |
Cites / Doc. (2 years) | 2023 | 0.755 |
Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years. Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.
Cites | Year | Value |
---|---|---|
Self Cites | 2011 | 0 |
Self Cites | 2012 | 3 |
Self Cites | 2013 | 1 |
Self Cites | 2014 | 4 |
Self Cites | 2015 | 15 |
Self Cites | 2016 | 26 |
Self Cites | 2017 | 15 |
Self Cites | 2018 | 27 |
Self Cites | 2019 | 29 |
Self Cites | 2020 | 13 |
Self Cites | 2021 | 40 |
Self Cites | 2022 | 96 |
Self Cites | 2023 | 58 |
Total Cites | 2011 | 0 |
Total Cites | 2012 | 3 |
Total Cites | 2013 | 7 |
Total Cites | 2014 | 13 |
Total Cites | 2015 | 38 |
Total Cites | 2016 | 55 |
Total Cites | 2017 | 54 |
Total Cites | 2018 | 92 |
Total Cites | 2019 | 88 |
Total Cites | 2020 | 105 |
Total Cites | 2021 | 152 |
Total Cites | 2022 | 246 |
Total Cites | 2023 | 172 |
Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.
Cites | Year | Value |
---|---|---|
External Cites per document | 2011 | 0 |
External Cites per document | 2012 | 0.000 |
External Cites per document | 2013 | 0.068 |
External Cites per document | 2014 | 0.063 |
External Cites per document | 2015 | 0.160 |
External Cites per document | 2016 | 0.200 |
External Cites per document | 2017 | 0.300 |
External Cites per document | 2018 | 0.524 |
External Cites per document | 2019 | 0.500 |
External Cites per document | 2020 | 0.780 |
External Cites per document | 2021 | 0.830 |
External Cites per document | 2022 | 0.882 |
External Cites per document | 2023 | 0.582 |
Cites per document | 2011 | 0.000 |
Cites per document | 2012 | 0.067 |
Cites per document | 2013 | 0.080 |
Cites per document | 2014 | 0.091 |
Cites per document | 2015 | 0.264 |
Cites per document | 2016 | 0.379 |
Cites per document | 2017 | 0.415 |
Cites per document | 2018 | 0.742 |
Cites per document | 2019 | 0.746 |
Cites per document | 2020 | 0.890 |
Cites per document | 2021 | 1.126 |
Cites per document | 2022 | 1.447 |
Cites per document | 2023 | 0.878 |
International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.
Year | International Collaboration |
---|---|
2011 | 0.00 |
2012 | 0.00 |
2013 | 0.00 |
2014 | 10.87 |
2015 | 2.27 |
2016 | 2.50 |
2017 | 0.00 |
2018 | 2.63 |
2019 | 5.00 |
2020 | 3.51 |
2021 | 4.11 |
2022 | 3.03 |
2023 | 4.05 |
Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.
Documents | Year | Value |
---|---|---|
Non-citable documents | 2011 | 0 |
Non-citable documents | 2012 | 1 |
Non-citable documents | 2013 | 1 |
Non-citable documents | 2014 | 1 |
Non-citable documents | 2015 | 0 |
Non-citable documents | 2016 | 0 |
Non-citable documents | 2017 | 0 |
Non-citable documents | 2018 | 0 |
Non-citable documents | 2019 | 0 |
Non-citable documents | 2020 | 0 |
Non-citable documents | 2021 | 0 |
Non-citable documents | 2022 | 0 |
Non-citable documents | 2023 | 0 |
Citable documents | 2011 | 0 |
Citable documents | 2012 | 44 |
Citable documents | 2013 | 87 |
Citable documents | 2014 | 142 |
Citable documents | 2015 | 144 |
Citable documents | 2016 | 145 |
Citable documents | 2017 | 130 |
Citable documents | 2018 | 124 |
Citable documents | 2019 | 118 |
Citable documents | 2020 | 118 |
Citable documents | 2021 | 135 |
Citable documents | 2022 | 170 |
Citable documents | 2023 | 196 |
Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.
Documents | Year | Value |
---|---|---|
Uncited documents | 2011 | 0 |
Uncited documents | 2012 | 42 |
Uncited documents | 2013 | 81 |
Uncited documents | 2014 | 130 |
Uncited documents | 2015 | 114 |
Uncited documents | 2016 | 112 |
Uncited documents | 2017 | 95 |
Uncited documents | 2018 | 70 |
Uncited documents | 2019 | 68 |
Uncited documents | 2020 | 63 |
Uncited documents | 2021 | 55 |
Uncited documents | 2022 | 76 |
Uncited documents | 2023 | 106 |
Cited documents | 2011 | 0 |
Cited documents | 2012 | 3 |
Cited documents | 2013 | 7 |
Cited documents | 2014 | 13 |
Cited documents | 2015 | 30 |
Cited documents | 2016 | 33 |
Cited documents | 2017 | 35 |
Cited documents | 2018 | 54 |
Cited documents | 2019 | 50 |
Cited documents | 2020 | 55 |
Cited documents | 2021 | 80 |
Cited documents | 2022 | 94 |
Cited documents | 2023 | 90 |
Evolution of the percentage of female authors.
Year | Female Percent |
---|---|
2011 | 47.83 |
2012 | 50.00 |
2013 | 51.52 |
2014 | 58.00 |
2015 | 44.23 |
2016 | 52.00 |
2017 | 48.53 |
2018 | 51.79 |
2019 | 55.22 |
2020 | 50.00 |
2021 | 58.59 |
2022 | 47.06 |
2023 | 51.46 |
Evolution of the number of documents cited by public policy documents according to Overton database.
Documents | Year | Value |
---|---|---|
Overton | 2011 | 0 |
Overton | 2012 | 0 |
Overton | 2013 | 0 |
Overton | 2014 | 0 |
Overton | 2015 | 0 |
Overton | 2016 | 0 |
Overton | 2017 | 0 |
Overton | 2018 | 0 |
Overton | 2019 | 0 |
Overton | 2020 | 0 |
Overton | 2021 | 0 |
Overton | 2022 | 0 |
Overton | 2023 | 0 |
Evoution of the number of documents related to Sustainable Development Goals defined by United Nations. Available from 2018 onwards.
Documents | Year | Value |
---|---|---|
SDG | 2018 | 26 |
SDG | 2019 | 24 |
SDG | 2020 | 36 |
SDG | 2021 | 52 |
SDG | 2022 | 44 |
SDG | 2023 | 52 |
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The future of research collaborations involving Russia
Benjamin Plackett is a freelance writer based in Dubbo, Australia. You can also search for this author in PubMed Google Scholar On the banks of the Moskva River, just upstream from the Kremlin and Red Square, sits a grandiose network of interconnected concrete buildings. The tallest two are bejewelled with bulky bronze structures, and this unique aesthetic has earned the Moscow-based Russian Academy of Sciences its nickname — ‘golden brains’. Until very recently, the organization had every reason to think that Russian science was deserving of such an epithet. Access optionsAccess Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-access subscription 24,99 € / 30 days cancel any time Subscribe to this journal Receive 51 print issues and online access 185,98 € per year only 3,65 € per issue Rent or buy this article Prices vary by article type Prices may be subject to local taxes which are calculated during checkout doi: https://doi.org/10.1038/d41586-022-00761-9 Related ArticlesRapa Nui’s population history rewritten using ancient DNA News & Views 11 SEP 24 Famed Pacific island’s population 'crash' debunked by ancient DNA News 11 SEP 24 Back to the future: two books that tried to predict how science would evolve News & Views 10 SEP 24 US election debate: what Harris and Trump said about science US and China inch towards renewing science-cooperation pact — despite tensions News 10 SEP 24 South Korea can overcome its researcher shortage — but it must embrace all talents Editorial 21 AUG 24 Japan moves to halt long-term postgraduate decline by tripling number of PhD graduates Nature Index 29 AUG 24 Gathering Outstanding Overseas Talents, Innovating to Lead the FutureThe 16th Peiyang Young Scientist Forum and the 2024 Tianjin University High-Level Forum for University Faculty, Postdoctoral Fellows... Tianjin, China Tianjin University (TJU) High-level Talent Recruitment dedicated to teaching & researchCollege of Water Sciences, Beijing Normal University Beijing, China OSU Neurology Clayton C. Wagner Parkinson’s Disease Research ProfessorshipColumbus, Ohio The Ohio State University (OSU) Professor/Associate Professor/Assistant Professor/Senior Lecturer/LecturerThe School of Science and Engineering (SSE) at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen) sincerely invites applications for mul... Shenzhen, China The Chinese University of Hong Kong, Shenzhen (CUHK Shenzhen) Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily. Quick links
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Regional Research of RussiaPublisher: Pleiades Publishing, Ltd. ISSN PRINT: 2079-9705 ISSN ONLINE: 2079-9713 Editor-in-Chief: Vladimir A. Kolosov
Manuscript SubmissionSubmission of a manuscript implies: that the work described has not been published before; that it is not under consideration for publication anywhere else; that its publication has been approved by all co-authors, if any, as well as by the responsible authorities – tacitly or explicitly – at the institute where the work has been carried out. The publisher will not be held legally responsible should there be any claims for compensation. Authors wishing to include figures, tables, or text passages that have already been published elsewhere are required to obtain permission from the copyright owner(s) for both the print and online format and to include evidence that such permission has been granted when submitting their papers. Any material received without such evidence will be assumed to originate from the authors. Please follow the hyperlink “Submit manuscript” and upload all of your manuscript files following the instructions given on the screen. Please ensure you provide all relevant editable source files. Failing to submit these source files might cause unnecessary delays in the review and production process. Journal-Specific Guidelines and General Guidelines for AuthorsThe journal follows the Springer Nature Peer Review Policy, Process and Guidance , Springer Nature Journal Editors' Code of Conduct , and COPE's Ethical Guidelines for Peer-reviewers . Approximately 30% of the manuscripts are rejected without review based on formal criteria as they do not comply with the submission guidelines. Each manuscript is assigned to at least one peer reviewer. The journal follows a single-blind reviewing procedure. The period from submission to the first decision is up to 38 days. The approximate rejection rate is 20%. The final decision on the acceptance of a manuscript for publication is made by the Meeting of Editorial Board members. If Editors, including the Editor-in-Chief, publish in the journal, they do not participate in the decision-making process for manuscripts where they are listed as co-authors. Special issues published in the journal follow the same procedures as all other issues. If not stated otherwise, special issues are prepared by the members of the Editorial Board without guest editors. We recommend that you familiarize yourself with the samples of manuscripts and follow the format that most closely matches the subject of the manuscript. Please note also that the style of references to cited literature may vary from one journal to another. Please choose the style appropriate for the journal to which you are planning to submit a manuscript. Please consult the guidelines for authors or the editor when necessary. A completed copyright transfer agreement (in Russian or English) should be submitted together with the manuscript through the Editorial Publishing System or via e-mail, if a journal is not registered in this system. Open AccessAuthors will have the option to choose how their article is published. Traditional publishing model: published articles are made available to institutions and individuals who subscribe to Regional Research of Russia or who pay to read specific articles. There is no charge to publish. Open Access (OA) model: published articles are freely and permanently available online. Anyone, anywhere can read and build upon this research. If you would be interested in publishing Open Access in Regional Research of Russia please follow the link . Additional Links
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Researcher.Life is built on Editage's in-depth understanding of what researchers need during publication and beyond, accumulated over 20 years. Regional Research of Russia : Impact Factor & MoreCheck your submission readiness. Find out how your manuscript stacks up against 24 technical compliance and 6 language quality checks. Regional Research of Russia Key MetricsRegional research of russia journal specifications. |
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Regional Research of Russia is an English-language journal focused on the spatial development of Russia, its regions, and the post-Soviet states. It covers economic and human geography, regional geography, regional economics and sociology, spatial planning, regional policy, urban and rural studies, and resource management. ...
Regional Research of Russia is the sole social science English-language journal focused on the spatial development of Russia and its regions and the post-Soviet states.The journal covers issues of economic and human geography, regional geography, regional economics and sociology, spatial planning, regional policy, urban and rural studies, and geography of resource management.
N. V. Zubarevich. S. G. Safronov. VARIATIONS IN SOCIOECONOMIC DEVELOPMENT BY REGION 27 November 2023 Pages: 682 - 690. 1. 2. …. 14. Next. Regional Research of Russia is an English-language journal focused on the spatial development of Russia, its regions, and the post-Soviet states.
Regional Research of Russia is the sole social science English-language journal focused on the spatial development of Russia and its regions and the post-Soviet states.The journal covers issues of economic and human geography, regional geography, regional economics and sociology, spatial planning, regional policy, urban and rural studies, and geography of resource management.
Regional Research of Russia. The paper is devoted to a historical-geographic analysis of the ancient civilizations of India and China. The following is discussed: the processes of the formation of ...
Regional Research of Russia, founded in 2011, is the sole social science English-language journal focused on spatial development of Russia and its regions. The journal covers issues of economic and human geography, regional geography, regional economics and sociology, spatial planning, regional policy, urban and rural studies, and geography of ...
1-12 Regional Inequality in Russia: Anatomy of Convergence by K. P. Gluschenko 13-24 Importance of a Region's Research Environment for the Development of High-Tech and Knowledge-Intensive Companies by S. R. Khalimova 25-39 Moscow Oblast: Territorial Structure of Post-Soviet Transformations by A. G. Makhrova & T. G. Nefedova & A.I. Treivish
117-126 Decomposition of Tax Revenue Growth in Russian Regions by M. Yu. Malkina & R. V. Balakin ; 127-134 Study of Spatial Effects in the Regional Labor Productivity Dynamics by A. N. Bufetova ; 135-142 Trends in the Territorial Organization of Industry in Post-Soviet Russia and Their Potential Environmental Consequences by N. N. Klyuev ; 143-155 Unevenness and Structural Diversity of the ...
Regional Research of Russia is the sole social science English-language journal focused on the spatial development of Russia and its regions and the post-Soviet states.The journal covers issues of economic and human geography, regional geography, regional economics and sociology, spatial planning, regional policy, urban and rural studies, and geography of resource management.
281-291 Features of regional economic development in Russia in 1999-2013 by Yu. S. Yershov ; 292-303 Russian agricultural resources and the geography of their use in import-substitution conditions by T. G. Nefedova ; 304-313 Regional disparities in the development of banking institutions by S. D. Ageeva & A. V. Mishura ; 314-322 Chain retailing: Interregional differences and the role of ...
Regional Research of Russia | Read 593 articles with impact on ResearchGate, the professional network for scientists. Published by Pleiades Publishing Print ISSN: 2079-9705
Regional Research of Russia, 2021, vol. 11, issue 2, 230-243. Abstract: Abstract— Official Chinese statistics data were applied to analyze the dynamics and structure of trade interactions between regions of China and Russia; the border effect on export and import flows was estimated. The analysis showed that import flows from Russia to China ...
From 1 December 2020 to 30 November 2021, just 7.5% of Russia's research papers that are tracked by the Nature Index related to earth and environmental sciences, and before the invasion of ...
The Impact IF 2023 of Regional Research of Russia is 0.76, which is computed in 2024 as per its definition. Regional Research of Russia IF is decreased by a factor of 0.32 and approximate percentage change is -29.63% when compared to preceding year 2022, which shows a falling trend.
Issue 4 December 2022. Issue 1 supplement December 2022. Special Issue: Old-Developed Areas in the Space of Russia, Guest Editors: T.G. Nefedova and A.V. Starikova. Issue 3 September 2022. Issue 2 June 2022. Issue 1 March 2022. Russian Human Geography of the Early 21st Century: Studying New Processes and Using New Opportunities.
Regional Research of Russia | Scientific journals We recommend that you familiarize yourself with the samples of manuscripts and follow the format that most closely matches the subject of the manuscript. Please note also that the style of references to cited literature may vary from one journal to another.
The Kennan Institute is the premier US center for advanced research on Eurasia and the oldest and largest regional program at the Woodrow Wilson International Center for Scholars. The Kennan Institute is committed to improving American understanding of Russia, Ukraine, Central Asia, the South Caucasus, and the surrounding region though research and exchange.
Get access to Regional Research of Russia details, impact factor, Journal Ranking, H-Index, ISSN, Citescore, Scimago Journal Rank (SJR). Check top authors, submission guidelines, Acceptance Rate, Review Speed, Scope, Publication Fees, Submission Guidelines at one place. Improve your chances of getting published in Regional Research of Russia with Researcher.Life.
At the time of writing, there have been 2700 civilian casualties, including 1000 deaths (actual numbers are likely to be much higher), since the unprovoked Russian invasion of Ukraine on February 24, 2022. More than 3·6 million Ukrainian civilians have fled as refugees, mostly women and children (men aged 18-60 years are not permitted to leave the country). Cities, hospitals, and vital ...
The survey was administered in Russia among research scientists of Ural Federal University specializing in economic, managerial, and technical aspects of the energy sector, 84, 85 leading experts of Russian energy companies-partners of the university, 86-89 as well as independent consultants and foreign scientists specializing in the study of ...
Russia, Turkey and the Spectre of Regional Instability. The paper explores how instability triggered by the invasion could possibly affect the relationship between Moscow and Ankara. by Dimitar Bechev. published by. Al Sharq Strategic Research on April 13, 2022. program
Regional Research of Russia; Abstract The article presents a methodology for assessing inclusive growth in Russian regions by constructing an integral index. We sought to understand how economic growth, based on high energy prices over several years, led to a smoothing of inequalities and reduction in poverty and environmental pressures in ...
The mission of Regional Research of Russia, which is published in English, is precisely to acquaint foreign readership with the best works on human geography, regional economics and sociology, spatial planning, regional policy, studies of cities and rural areas of Russia and its regions, and other countries of the former USSR.The authors therein are primarily Russian specialists, but the ...
KYIV (Reuters) - Russian drones inflicted significant damage to the northern Ukrainian town of Konotop's energy infrastructure in an overnight attack that injured at least 14 people and cut ...
Executive Summary: Despite fear of punishment for voicing opposition and the Kremlin's aggressive propaganda, public support for its war in Ukraine has waned, especially as those returning from the front expose the reality of the conflict. Research indicates that Russians increasingly prioritize regional issues over the war. A "gray zone" of apathetic citizens could potentially shift ...
The United States Institute of Peace seeks a Research Assistant to provide research and writing support to the Center for Russia and Europe (CRE). Applicants must be organized, analytical ...
However, during this time, Russia has significantly reduced its share in world production. For 1990-2017, Russia's share in global coal production decreased from 8.5 to 5.7%; oil, from 17.1 to 12.6%; and natural gas, from 31 to 19%. And Russian extraction of peat and oil shale has declined many times over.
Reuters. A view shows a residential building damaged during a Russian drone strike, amid Russia's attack on Ukraine, in the town of Konotop, Sumy region, Ukraine September 12, 2024.
Regional Research of Russia - Measurement of the budget differentiation of regions for 2006-2022 revealed a complex and heterogeneous picture. ... A.I., Influence of value added tax and excises of the oil and gas sector of the northern region of Russia on the formation of budget revenues, Vestn. Tyumen. Univ. Sots.-Ekon. Prav. Issled., 2020 ...
The Forward Observations Group, a private military company based in the United States, published a photo of its war professionals in the Russian region of Kursk, a presence confirmed by a video showing the destruction by the Russian armed forces of Forward Observations Group armoured vehicles and commandos in Kursk. This US military company, whose […]