{"title":"Brain drain and brain gain in Russia: analyzing international mobility of researchers by discipline using Scopus bibliometric data","authors":"A. Subbotin, Samin Aref","doi":"10.4054/mpidr-wp-2020-025","DOIUrl":"https://doi.org/10.4054/mpidr-wp-2020-025","url":null,"abstract":"We study international mobility in academia with a focus on migration of researchers to and from Russia. Using all Scopus publications from 1996 to 2020, we analyze bibliometric data from over half a million researchers who have published with a Russian affiliation address at some point in their careers. Migration of researchers is observed through the changes in their affiliation addresses. For the first time, we analyze origins and destinations of migrant researchers with respect to their fields and performance and compute net migration rates based on incoming and outgoing flows. Our results indicate that while Russia has been a donor country in the late 1990s and early 2000s, it has experienced a relatively symmetric circulation of researchers in more recent years. Using subject categories of publications, we quantify the impact of migration on each field of scholarship. Our analysis shows that Russia has suffered a net loss in almost all disciplines and more so in neuroscience, decision sciences, dentistry, biochemistry, and mathematics. For economics and environmental science, there is a relatively balanced circulation of researchers to and from Russia. Our substantive results reveal new aspects of international mobility in academia and its impact on a national science system which speak directly to policy development. Methodologically, our new approach of handling big data can be adopted as a framework of analysis for studying scholarly migration in other countries.","PeriodicalId":154007,"journal":{"name":"arXiv: Digital Libraries","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122862257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. C. D. Moraes, Ana Lia Leonel, P. Torres, P. Jacobi, Sandra Momm
{"title":"Climate Change and Social Sciences: a bibliometric analysis.","authors":"F. C. D. Moraes, Ana Lia Leonel, P. Torres, P. Jacobi, Sandra Momm","doi":"10.4237/VIRUS_JOURNAL","DOIUrl":"https://doi.org/10.4237/VIRUS_JOURNAL","url":null,"abstract":"The complexity of emergent wicked problems, such as climate change, culminates in a reformulation of how we think about society and mobilize scientists from various disciplines to seek solutions and perspectives on the problem. From an epistemological point of view, it is essential to evaluate how such topics can be developed inside the academic arena but, to do that, it is necessary to perform complex analysis of the great number of recent academic publications. In this work, we discuss how climate change has been addressed by social sciences in practice. Can we observe the development of a new epistemology by the emergence of the climate change debate? Are there contributions in academic journals within the field of social sciences addressing climate change? Which journals are these? Who are the authors? To answer these questions, we developed an innovative method combining different tools to search, filter, and analyze the impact of the academic production related to climate change in social sciences in the most relevant journals.","PeriodicalId":154007,"journal":{"name":"arXiv: Digital Libraries","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129815568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Decision letter for \"A multidimensional perspective on the citation impact of scientific publications\"","authors":"Yi Bu, L. Waltman, Yong Huang","doi":"10.1162/qss_a_00109/v2/decision1","DOIUrl":"https://doi.org/10.1162/qss_a_00109/v2/decision1","url":null,"abstract":"The citation impact of scientific publications is usually seen as a one-dimensional concept. We introduce a three-dimensional perspective on the citation impact of publications. In addition to the level of citation impact, quantified by the number of citations received by a publication, we also conceptualize and operationalize the depth and dependence of citation impact. This enables us to make a distinction between publications that have a deep impact concentrated in one specific field of research and publications that have a broad impact scattered over different research fields. It also allows us to distinguish between publications that are strongly dependent on earlier work and publications that make a more independent scientific contribution. We present a large-scale empirical analysis of the level, depth, and dependence of the citation impact of publications. In addition, we report a case study focusing on publications in the field of scientometrics. Our three-dimensional citation impact framework provides a more detailed understanding of the citation impact of a publication than a traditional one-dimensional perspective.","PeriodicalId":154007,"journal":{"name":"arXiv: Digital Libraries","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114251259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Війна і мир: особливості динаміки українсько-російської співпраці на тлі російської збройної агресії проти України у 2014-2016 рр.","authors":"Сергій Назаровець","doi":"10.15407/scin13.05.038","DOIUrl":"https://doi.org/10.15407/scin13.05.038","url":null,"abstract":"The paper presents the results of bibliometric analysis of publications that were co-written by authors affiliated with Ukrainian and Russian institutions in 2007-2016 according to Scopus. Results of the study show that Ukrainian and Russian scientists have not refused to carry out joint research in major international projects, but a decrease in the number of works, written by Ukrainian and Russian scientific institutions staff members in 2016, provides evidence on the threat and negative impact the Russian military intervention brings to cooperation in science. The findings are important for generating the science development programs in Ukraine.","PeriodicalId":154007,"journal":{"name":"arXiv: Digital Libraries","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114521257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Rotolo, Ismael Rafols, M. Hopkins, L. Leydesdorff
{"title":"Scientometric Mapping as a Strategic Intelligence Tool for the Governance of Emerging Technologies.","authors":"D. Rotolo, Ismael Rafols, M. Hopkins, L. Leydesdorff","doi":"10.2139/SSRN.2742125","DOIUrl":"https://doi.org/10.2139/SSRN.2742125","url":null,"abstract":"How can scientometric mapping function as a tool of ’strategic intelligence’ to aid the governance of emerging technologies? The present paper aims to address this question by focusing on a set of recently developed scientometric techniques, namely overlay mapping. We examine the potential these techniques have to inform, in a timely manner, analysts and decision-makers about relevant dynamics of technical emergence. We investigate the capability of overlay mapping in generating informed perspectives about emergence across three spaces: geographical, social, and cognitive. Our analysis relies on three empirical studies of emerging technologies in the biomedical domain: RNA interference (RNAi), Human Papilloma Virus (HPV) testing technologies for cervical cancer, and Thiopurine Methyltransferase (TPMT) genetic testing. The case-studies are analysed and mapped longitudinally by using publication and patent data. Results show the variety of ’intelligence’ inputs overlay mapping can produce for the governance of emerging technologies. Overlay mapping also confers to the investigation of emergence flexibility and granularity in terms of adaptability to different sources of data and selection of the levels of the analysis, respectively. These features make possible the integration and comparison of results from different contexts and cases, thus providing possibilities for a potentially more ’distributed’ strategic intelligence. The generated perspectives allow triangulation of findings, which is important given the complexity featuring in technical emergence and the limitations associated with the use of single scientometric approaches","PeriodicalId":154007,"journal":{"name":"arXiv: Digital Libraries","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133495869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}