Highly-cited Publications Research Articles

Anatomy of the top 1% most highly cited publications: An empirical comparison of two approaches

Abstract Scientific excellence is an ongoing object of quantitative analysis of science and technology literature. The most commonly adopted of the various criteria for such quantification is to define highly cited papers as the ones lying in the first percentile (top 1%) of citation counts. Wagner and colleagues have recently proposed a new method in which citation counts are determined as a whole, irrespective of discipline. This study analyzes the practical implications of the new approach compared to the traditional procedure in which papers are ranked bearing in mind the scientific field involved, with particular attention to the consequences for rankings by country and discipline. The results show that the new methodology favors countries with a predominance of polytechnical scientific production, technological development, and innovation and lowers the rank of countries where the social sciences, humanities, and basic research account for the lion’s share of output. An analysis of worldwide production confirms the growth of scientific output in technical and technological disciplines.

Global research output and highly-cited publications on prosthetic joint infections: A bibliometric analysis (2003-2022)

Backgroundand aimsProsthetic Joint Infection (PJI) is a serious clinical problem after Arthroplasty. The research field on PJI is emerging, but there is a paucity of information on the most impactful publications on it. This prompted us to conduct a bibliometric analysis of the global research output, from 2003 to 2022, to identify the growth of publications, the key players in this research field and to evaluate the characteristics of highly-cited publications (HCPs) on the PJI. MethodsPublications related to PJI research were identified globally from the Scopus database, using specific keywords, covering the literature from 2003 to 2022. The HCPs were considered those with 100 or more citations. Information on publication year, citation count, funding sources, title, author, journal, country, institution, research area, and strategic keywords were collected from these HCPs. Publication data was imported into Microsoft Excel and analyzed further using VOSviewer and R software. ResultsThere were 182 HCPs (3.12%), which received a total citation of 124701 (average CPP of 21.41), with the citation range from 100 to 1921. Research articles were the most predominant publications (69.2%), but their average citations per paper (CPP) of 189.78 was lower than that of Review articles (average CPP: 253.17). The USA has been the leading country in terms of total publications (31.58%), and HCPs (36.99%), followed by Switzerland, Spain, UK and China. There were no HCPs from developing countries. J. Parvizi of Thomas Jefferson University, USA (with a total publications of 31 and an average CPP of 315.7), and W. Zimmerli of Basel University, Switzerland (with a TP of 11 and an average CPP of 341.9), were the most productive and impactful authors in PJI global research output. ConclusionThis bibliometric analysis identified the most productive and impactful authors, organizations, countries, and journals in the research of PJI, of the last two decades.

Frontiers in chronic fatigue syndrome research: An analysis of the top 100 most influential articles in the field.

Chronic fatigue syndrome (CFS) is a complex constellation of symptoms that significantly reduces the quality of life among affected individuals and increases public health expenditures. We conducted a search on the Web of Science Core Collection database and selected the top 100 cited articles in the field of CFS. Several literature analysis tools, including CiteSpace 6.1.R6, VOSviewer 1.6.19, and Scimago Graphica 1.0.30, were utilized to integrate the most influential research papers and academic journals in order to obtain a comprehensive understanding of the CFS field. The top 100 highly-cited publications were published in 67 reputable journals, with contributions from 250 institutions across 26 countries/regions involved in CFS research. This demonstrates the extensive attention and coverage of CFS research by high-quality academic journals and institutions, highlighting the interdisciplinary and multidisciplinary nature of CFS studies. The journal with the highest publication volume and total citations was Lancet. The top 5 co-occurring keywords were chronic fatigue syndrome, cognitive behavior therapy, epidemiology, definition, and disorders, indicating the ongoing attention researchers have devoted to the diagnostic criteria and clinical studies of CFS. Cluster analysis results suggested that primary care, infectious retrovirus, gene expression, and metabolomics may become the focal points and trends in future CFS research. The prospective research directions in this field include the search for biological markers, with a particular focus on immunology; the advancement of diagnostic techniques; the screening of risk genes associated with CFS; and the conduct of epidemiological investigations.

A diachronic perspective on citation latency in Wikipedia articles on CRISPR/Cas-9: an exploratory case study

This paper analyzes Wikipedia’s representation of the Nobel Prize winning CRISPR/Cas9 technology, a method for gene editing. We propose and evaluate different heuristics to match publications from several publication corpora against Wikipedia’s central article on CRISPR and against the complete Wikipedia revision history in order to retrieve further Wikipedia articles relevant to the topic and to analyze Wikipedia’s referencing patterns. We explore to what extent the selection of referenced literature of Wikipedia’s central article on CRISPR adheres to scientific standards and inner-scientific perspectives by assessing its overlap with (1) the Web of Science (WoS) database, (2) a WoS-based field-delineated corpus, (3) highly-cited publications within this corpus, and (4) publications referenced by field-specific reviews. We develop a diachronic perspective on citation latency and compare the delays with which publications are cited in relevant Wikipedia articles to the citation dynamics of these publications over time. Our results confirm that a combination of verbatim searches by title, DOI, and PMID is sufficient and cannot be improved significantly by more elaborate search heuristics. We show that Wikipedia references a substantial amount of publications that are recognized by experts and highly cited, but that Wikipedia also cites less visible literature, and, to a certain degree, even not strictly scientific literature. Delays in occurrence on Wikipedia compared to the publication years show (most pronounced in case of the central CRISPR article) a dependence on the dynamics of both the field and the editor’s reaction to it in terms of activity.

Exploring changes in depression and radiology-related publications research focus: A bibliometrics and content analysis based on natural language processing.

This study aims to construct and use natural language processing and other methods to analyze major depressive disorder (MDD) and radiology studies' publications in the PubMed database to understand the historical growth, current state, and potential expansion trend. All MDD radiology studies publications from January 2002 to January 2022 were downloaded from PubMed using R, a statistical computing language. R and the interpretive general-purpose programming language Python were used to extract publication dates, geographic information, and abstracts from each publication's metadata for bibliometric analysis. The generative statistical algorithm "Latent Dirichlet allocation" (LDA) was applied to identify specific research focus and trends. The unsupervised Leuven algorithm was used to build a network to identify relationships between research focus. A total of 5,566 publications on MDD and radiology research were identified, and there is a rapid upward trend. The top-cited publications were 11,042, and the highly-cited publications focused on improving diagnostic performance and establishing imaging standards. Publications came from 76 countries, with the most from research institutions in the United States and China. Hospitals and radiology departments take the lead in research and have an advantage. The extensive field of study contains 12,058 Medical Subject Heading (MeSH) terms. Based on the LDA algorithm, three areas were identified that have become the focus of research in recent years, "Symptoms and treatment," "Brain structure and imaging," and "Comorbidities research." Latent Dirichlet allocation analysis methods can be well used to analyze many texts and discover recent research trends and focus. In the past 20 years, the research on MDD and radiology has focused on exploring MDD mechanisms, establishing standards, and constructing imaging methods. Recent research focuses are "Symptoms and sleep," "Brain structure study," and "functional connectivity." New progress may be made in studies on MDD complications and the combination of brain structure and metabolism.

A bibliometric analysis of highly cited insulin resistance publications in Science Citation Index Expanded

Bibliometrics methods are commonly used to analyse and compare scientific performance. At present there are no bibliometric analyses on insulin resistance (IR) publications. In this study, we analysed highly-cited IR publications. The analysis presented is based on Web of Science (WoS): Science Citation Index Expanded. Total citations (TC), citation in latest year, citation per publication, number of authors, and collaborations were analysed. Most productive institutes and authors were also identified. Our search identified 103,742 documents including 72,909 articles related to IR. A total of 167 highly-cited documents (0.016% of 103,742 documents) with TC 2019 of≥1,000 in IR research were identified inclusive of 124 highly-cited articles, which were all written in English. These highly-cited documents were mainly published in the journal Nature and for most of them, the WoS category was “multidisciplinary-sciences”. United States of America was the country which has published most number of the highly-cited publications. Harvard University held the highest rank with the most number of highly-cited papers. Collaborative multidisciplinary research were common in the field of IR. Majority of the publications were arising from developed countries and highly-ranked institutions. More research should be encouraged in developing countries where IR remains a significant issue. • Collaborative multidisciplinary research were common in the field of insulin resistance. • Common research fields of insulin resistance publications identified focused on identification and molecular mechanisms. • Publications on its role in the pathogenesis of a plethora of metabolic diseases were also common. • Majority of the publications were arising from developed countries and highly-ranked institutions.

Research trends in tourism and hospitality from 1991 to 2020: an integrated approach of corpus linguistics and bibliometrics

PurposeThis study aims to track the historical development in tourism and hospitality research over the past 30 years by applying a novel interdisciplinary approach, combining both corpus linguistics and bibliometric analysis.Design/methodology/approachMost frequently discussed topics and newly emerging topics were identified by investigating 18,266 abstracts from 18 leading tourism and hospitality journals with corpus linguistics toolkit AntConc and natural language processing (NLP) tool spaCy. Trend analysis and bibliometric methods were used to determine the longitudinal changes of research topics, most highly-cited publications and authors' production.FindingsThis study revealed the evolution patterns of the identified 576 most frequently discussed topics across the four subperiods (1991–2000, 2001–2010, 2011–2015 and 2016–2020). Specifically, results showed that information technology-related topics account for the largest proportion of the identified 38 newly emerging topics from 2011. Besides, researchers are increasingly focusing on the use of more sophisticated and advanced statistical methodologies.Practical implicationsThis study helps researchers make sensible decisions on what research topics to explore; it also helps practitioners and stakeholders make the shift and track opportunities in the field.Originality/valueNo other studies have employed the novel interdisciplinary approach, combining corpus linguistic tools in linguistics, NLP techniques in computer science and bibliometric analysis in library and information science, for exploring research trends in tourism and hospitality.

Five Years of India Rankings NIRF and its Impact on Performance Parameters of Engineering Institutions in India Pt 2 Research and Professional Practices

This article analyses data on five years of India Rankings to assess its impact on performance parameters of institutions of higher education in terms of publications, citations, patents, highly-cited publications and research funding under broad category of parameter named “Research and Professional Practices”. The analysis on data on five years of India Rankings, i.e. 2016 to 2020 on various performance parameters of HEIs provides an interesting insight and reveals that participating institutions are making strenuous effort to improve their performance on various parameters or sub-parameters identified by the NIRF for ranking of HEIs. It is note that the number of publications, citations, and highly-cited publications (HCP) by eligible applicant institutions have increased exponentially over a period of five years from 2016 to 2020. It is interesting to note that per cent of publications, citations, and HCP by the 100 top-ranked institutions has decreased with corresponding increase of publications, citations, and HCP of the remaining institutions. This trend indicates that a good number of remaining institutions have not only intensified their research and publications activities but are also attracting their share of citations. It is also observed that a significant number of NIRF eligible applicants did not have any publication, however, per cent of institutions having “0” publications have decreasing gradually every year from 2017 to 2020. Noticeable and consistent increase in total publications of India, NIRF Eligible Applicants, 100 top-ranked institutions and remaining institutions in Overall category was noticed during past four years, i.e. 2017 to 2020. However, per cent increase in publications of the 100 top-ranked institutions was the highest in overall category.

A two-dimensional bibliometric index reflecting both quality and quantity

We propose a two-dimensional bibliometric index that strikes a balance between quantity (as measured by the number of publications of a researcher) and quality (as measured by the number of citations to those publications). While the square of h-index is determined by the maximum area square that fits under the citation curve of an author when plotting the number of citations in decreasing order, the rec-index is determined by the maximum area rectangle that fits under the curve. In this context we may distinguish between authors with a few very highly-cited publications, who may have carried out some influential research, and prolific authors, who may have many publications but fewer citations per publication. The influence of a researcher may be measured via a restricted version of the rec-index, the $${rec}_{I}$$-index, which is the maximum area vertical rectangle that fits under the citation curve. Similarly, the prolificity of a researcher may be measured via the $${rec}_{P}$$-index, which is the maximum area horizontal rectangle that fits under the citation curve. This leads to the proposal of the two-dimensional bibliometric index $$({rec}_{I}, {rec}_{P})$$, which captures both aspects of a researcher’s output. We present a comprehensive empirical analysis of this two-dimensional index on two datasets: a large set of Google Scholar profiles (representing “typical” researchers) and a small set of Nobel prize winners. Our results demonstrate the potential of this two-dimensional index, since for both data sets there is a statistically significant number of researchers for whom $${rec}_{I}$$ is greater than $${rec}_{P}$$. In particular, for nearly 25% of the Google Scholar researchers and for nearly 60% of the Nobel prize winners, $${rec}_{I}$$ is greater than $${rec}_{P}$$.

Examination of correlates of H-index as a measure of research productivity for library and information science faculty in the United States and Canada

This research analyzes research productivity among Library and Information Science (LIS) faculty based on number of publications and citations throughout the careers of tenure-track and tenured professors in LIS schools with an American Library Association-accredited Master of LIS program. The h-index is examined as a representative measure of LIS faculty output using a regression analysis. Based on observed variance in h-index and other research productivity measures across LIS schools, a regression is conducted based on several variables that distinguish these schools: Research 1 status, proportion of faculty who are full professors, where the university is located, whether the LIS school has a Ph.D. program, and whether the school is a member of the iSchool consortium. Findings indicate that h-index effectively represents the relative number of publications and citations a professor has while mitigating the impact of a few highly-cited publications that are not representative of an entire body of work. In addition to Research 1 status and proportion of full professors, iSchool membership is identified as a factor that influences a LIS school’s h-index vale. These findings have relevance to LIS readers interested in analyzing productivity of individual researchers and schools, researchers interested in the measurement of the effect of the h-index value on evaluating research productivity, and readers interested in the impact of the iSchool movement on research in LIS.

New framework for automated article selection applied to a literature review of Enhanced Biological Phosphorus Removal

AimsEnhanced Biological Phosphorus Removal (EBPR) is a technology widely used in wastewater treatment to remove phosphorus (P) and prevent eutrophication. Establishing its operating efficiency and stability is an active research field that has generated almost 3000 publications in the last 40 years. Due to its size, including over 119 review articles, it is an example of a field where it becomes increasingly difficult to manually recognize its key research contributions, especially for non-experts or newcomers. Therefore, this work included two distinct but complementary objectives. First, to assemble for the first time a collection of bibliometric techniques into a framework for automating the article selection process when preparing a literature review (section 2). Second, to demonstrate it by applying it to the field of EBPR, producing a bibliometric analysis and a review of the key findings of EBPR research over time (section 3).FindingsThe joint analysis of citation networks, keywords, citation profiles, as well as of specific benchmarks for the identification of highly-cited publications revealed 12 research topics. Their content and evolution could be manually reviewed using a selection of articles consisting of approximately only 5% of the original set of publications. The largest topics addressed the identification of relevant microorganisms, the characterization of their metabolism, including denitrification and the competition between them (Clusters A-D). Emerging and influential topics, as determined by different citation indicators and temporal analysis, were related to volatile fatty acid production, P-recovery from waste activated sludge and aerobic granules for better process efficiency and stability (Clusters F-H).ConclusionsThe framework enabled key contributions in each of the constituent topics to be highlighted in a way that may have otherwise been biased by conventional citation-based ranking. Further, it reduced the need for manual input and a priori expertise compared to a traditional literature review. Hence, in an era of accelerated production of information and publications, this work contributed to the way that we are able to use computer-aided approaches to curate information and manage knowledge.

Are we on the cusp of a fourth research paradigm? Predicting the future for a new approach to methods-use in medical and health services research

BackgroundThe dominant medical and health research paradigm continues to be quantitative. While the authors sense a sea-change in opinion about mixed-method research, underpinned by two decades of highly-cited publications in medical journals, much of the medical literature still widely favours the Randomised Control Trial.Main bodyThis debate article examines whether it is the beginning of the end of the dominant quantitative paradigm and the interest this holds for researchers and clinicians at the forefront of care delivery. It examines the Third Research Paradigm, signifying the importance of mixed-methods, and discusses the power of the patient voice and person-focused research activity. The authors discern the coming of age of a Fourth Research Paradigm integrating mixed-methods with data collected ‘on the hoof’. Within this new paradigm, the article explores the power of available, real time, and emergent data – from smart phones, wearable devices, and social media, as well as more creative approaches to data collection. The Fourth Research Paradigm will require the support of multi-disciplinary teams, moving through the world alongside their research subjects. The impact of a Fourth Research Paradigm on the health researcher is assessed, as the researcher’s gaze moves away from considerations of methodological superiority to re-considerations of their role in the brave new world of research multiplicity.ConclusionThe Fourth Research Paradigm offers extensive opportunities to tell more complete research stories in real-time settings. It concentrates on contextual notions of everyday happenings within the ever-changing world of healthcare delivery. There will be challenges ahead, not least the management of large, complex datasets and adaptive study designs. But rigorous planning will enable unique insights into the relationships played out in the world of the patient and healthcare provider. Better care and new delivery models are likely to result, but how this will manifest is not yet clear.

Bibliometric Analysis of Global Remote Sensing Research during 2010–2015

Bibliometric analysis based on the Science Citation Index Expanded published by Thomson Scientific was carried out to identify the research status and future trends of remote sensing (RS) during 2010–2015. The analysis revealed the institutional, national, spatio-temporal, and categorical patterns in remote sensing research both from the WP (whole publications) viewpoint and the HCP (highly-cited publications) viewpoint. Statistical analysis results showed that remote sensing research almost doubled during 2010–2015. Environmental sciences comprised the most attractive subject category among remote sensing research. The International Journal of Remote Sensing was the most productive journal, and Remote Sensing of Environment published the most HCP among the 31 distributed journals. The productive ranking of countries was led by the U.S. both from the WP viewpoint and the HCP viewpoint, and CAS (Chinese Academy of Sciences) was the most productive institute both from the WP viewpoint and the HCP viewpoint with lower CPP (average number of citations per paper). Keyword analysis illustrated that model and algorithm research were the key points in RS during 2010–2015. RS data including Moderate-Resolution Imaging Spectroradiometer (MODIS), Landsat, synthetic aperture radar (SAR), and LiDAR (light detection and ranging) were the most frequently adopted, but the data usage of UAVs (unmanned aerial vehicles) and small satellites will be promoted in the future. With the development of data acquisition abilities, big data issues will become the challenges and hotspots of RS research, and new algorithms will continue to emerge.

What drives university research performance? An analysis using the CWTS Leiden Ranking data

Abstract This paper analyzes the factors underlying university research performance as indicated by the number of highly-cited publications, international co-publications, and university-industry co-publications. The three performance indicators evaluate three possible university missions, respectively: research excellence, internationalization, and innovation. Using a regression analysis, we assess to what extent a university's research performance is influenced by structural variables including size, age, city size, location in a capital city, disciplinary orientation, and country location. Our results show that research performance differences among universities mainly stem from size, disciplinary orientation and country location. This suggests that simple global benchmarking can be misleading; rather, benchmarking is most meaningful between universities of a similar size supplemented with contextual information on a university's specific mission, orientation and national institutions.

Which early works are cited most frequently in climate change research literature? A bibliometric approach based on Reference Publication Year Spectroscopy

This bibliometric analysis focuses on the general history of climate change research and, more specifically, on the discovery of the greenhouse effect. First, the Reference Publication Year Spectroscopy (RPYS) is applied to a large publication set on climate change of 222,060 papers published between 1980 and 2014. The references cited therein were extracted and analyzed with regard to publications, which are cited most frequently. Second, a new method for establishing a more subject-specific publication set for applying RPYS (based on the co-citations of a marker reference) is proposed (RPYS-CO). The RPYS of the climate change literature focuses on the history of climate change research in total. We identified 35 highly-cited publications across all disciplines, which include fundamental early scientific works of the nineteenth century (with a weak connection to climate change) and some cornerstones of science with a stronger connection to climate change. By using the Arrhenius (Philos Mag J Sci Ser 5(41):237–276, 1896) paper as a RPYS-CO marker paper, we selected only publications specifically discussing the discovery of the greenhouse effect and the role of carbon dioxide. Using different RPYS approaches in this study, we were able to identify the complete range of works of the celebrated icons as well as many less known works relevant for the history of climate change research. The analyses confirmed the potential of the RPYS method for historical studies: Seminal papers are detected on the basis of the references cited by the overall community without any further assumptions.

A bibliometric analysis of drinking water research in Africa

A total of 1 917 publications of drinking water research in Africa from 1991 to 2013 were identified from the data hosted in online version of SCI-Expanded, Thomson Reuters Web of Science, for bibliometric analysis. The analysis included publication output, distribution of keywords, journals and subject areas, and performances of countries, institutions, and authors. Citation trends and highly-cited publications are also reported. We found that the publication output of related documents increased over the entire period of study. The results showed that ‘water’, ‘drinking water’, and ‘oxidative stress’ were the most frequent terms in publication titles, authors’ keywords and KeyWords Plus. The top three subject areas were ‘water resources’, ‘environmental science’, and ‘environmental and occupational public health’. The ten most productive institutions were located in South Africa and Egypt, and the University of Pretoria was the overall most productive institution. Thus, a quarter of all of the articles published were from South Africa. It was found that articles became increasingly collaborative with greater numbers of authors, page counts and bibliographies. More than half of the internationally collaborative articles were co-authored with researchers from Europe. French and US institutions contributed to the highest number of collaborative articles. Keywords: Africa, bibliometric review, drinking water, publications, research collaborations, water research

The emergent dynamics of a technological research topic: the case of graphene

Technological research topics might enjoy dramatic increases in popularity, regardless of yet unclear commercialization prospects. The article analyzes the example of graphene, an advanced material, first demonstrated in 2004, which benefited from the visibility and expectations of policy makers, investors and R&D performers. The bibliometric analysis helps better understand the initial era of ferment in technology cycle, before graphene's technical and commercial feasibility was confirmed. It offers insights into the underlying dynamics, which accompanies the topic's emergence and the subsequent hype. Exponential growth in article counts is contrasted with decreasing citations per article and shares of highly-cited publications. The research field's growing complexity is demonstrated by decomposing the discourse into publications concerning manufacturing graphene, its characterization and potential applications in non-electronics areas of health, environment and energy. Activities of publication outlets are traced, with a small number of journals accounting for the majority of publications and citations, and gradual increases in graphene's presence in individual journals. International co-authorship patterns evolve over time, and while the network density and the average betweenness centrality of actors increase, the international concentration was found to follow a U-shaped pattern, initially promoting the field's openness, but later making it less accessible, so that only some researchers benefit from this "window of opportunity". The observed regularities follow a fashion-like pattern, with researchers joining the bandwagon to benefit from the topic's popularity. The timing of entry into an emerging research field is important for maximizing the scientific impact of researchers, institutions, journals and countries.

The 60 most highly cited articles published in the Journal of Telemedicine and Telecare and Telemedicine Journal and E-health

Summary We analysed the most highly cited articles in two specialist telemedicine journals, the Journal of Telemedicine and Telecare (JTT) and Telemedicine Journal and E-health (TJEH). Articles were extracted from the Science Citation Index Expanded in September 2012. A total of 1810 articles were listed for the JTT and 1550 for TJEH. In the JTT, the mean number of citations was 43 (SD 13); in TJEH the mean number of citations was 30 (SD 11). The average number of citations for the JTT was significantly higher than for TJEH (P < 0.001). In each journal, the 60 articles which had the most citations were identified as highly cited publications (HCPs). The 60 HCPs in the JTT originated from 16 countries; the 60 HCPs in TJEH originated from 10 countries. Considering both journals together, the majority of HCPs came from the US, UK, Australia and Canada. In the JTT, the mean number of authors for each HCP was 4.6 (SD = 3.1); in TJEH, the mean number of authors for each HCP was 4.5 (SD = 2.3). There was no difference between the two journals (P = 0.84) and the characteristics of the HCPs published in the JTT and TJEH were broadly similar. Although HCPs are not a direct method of measuring quality, they are an indicator of the scientific impact of the articles.

Publication Activity of Russian Researches in Leading International Scientific Journals

The primary aim of this research report is to analyse the dynamics and structure of the publications of Russian authors, as well as to define the place of Russian science in the global scientific process. Bibliometric analysis methods are the main methods for quantitative analysis of scientific cooperation, efficiency, and other aspects of scientific activity. The information base for this research includes materials from science citation databases containing bibliographic descriptions of the articles published in scientific journals (mainly written in English) in a significant number of fields of science. Various parameters (e.g. dynamics of the number of publications, the number of citation, the level of co-authorship, the scientific specialization index, etc.) at various levels of aggregation (e.g. individual researchers, research organizations, countries and regions of the world) can be calculated based on these data. The results of bibliometric studies can be used in a number of ways: - analysis of latest trends in the development of various scientific fields; - evaluation of the effectiveness of research organizations; - overall assessment of the scientific potential of Russia (its strengths and weaknesses); - identification the most productive scientists in various fields of science; - drawing the international comparisons of publications; - analysis of collaboration networks of scientific teams. The paper analyses the basic indicators of the publication activity of scientists in Russia and the leading countries over the period between 2001 and 2011. Publication activity of Russian scientists is analysed in the context of specific areas of science. This allows the identification of areas of specialization of Russian publications. The paper also examines the dynamics of highly-cited publications and the indicators of the international scientific collaboration of Russian researchers. In this paper, materials of Web of Science database were used for analysis of publication activity.

Publication Activity of Russian Researches in Leading International Scientific Journals

The primary aim of this research report is to analyse the dynamics and structure of the publications of Russian authors, as well as to define the place of Russian science in the global scientific process. Bibliometric analysis methods are the main methods for quantitative analysis of scientific cooperation, efficiency, and other aspects of scientific activity. The information base for this research includes materials from science citation databases containing bibliographic descriptions of the articles published in scientific journals (mainly written in English) in a significant number of fields of science. Various parameters (e.g. dynamics of the number of publications, the number of citation, the level of co-authorship, the scientific specialization index, etc.) at various levels of aggregation (e.g. individual researchers, research organizations, countries and regions of the world) can be calculated based on these data. The results of bibliometric studies can be used in a number of ways: - analysis of latest trends in the development of various scientific fields; - evaluation of the effectiveness of research organizations; - overall assessment of the scientific potential of Russia (its strengths and weaknesses); - identification the most productive scientists in various fields of science; - drawing the international comparisons of publications; - analysis of collaboration networks of scientific teams. The paper analyses the basic indicators of the publication activity of scientists in Russia and the leading countries over the period between 2001 and 2011. Publication activity of Russian scientists is analysed in the context of specific areas of science. This allows the identification of areas of specialization of Russian publications. The paper also examines the dynamics of highly-cited publications and the indicators of the international scientific collaboration of Russian researchers. In this paper, materials of Web of Science database were used for analysis of publication activity.