В. А. Маркусова

708 total citations
61 papers, 518 citations indexed

About

В. А. Маркусова is a scholar working on Statistics, Probability and Uncertainty, Information Systems and Political Science and International Relations. According to data from OpenAlex, В. А. Маркусова has authored 61 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics, Probability and Uncertainty, 14 papers in Information Systems and 13 papers in Political Science and International Relations. Recurrent topics in В. А. Маркусова's work include scientometrics and bibliometrics research (32 papers), International Science and Diplomacy (8 papers) and Academic Publishing and Open Access (7 papers). В. А. Маркусова is often cited by papers focused on scientometrics and bibliometrics research (32 papers), International Science and Diplomacy (8 papers) and Academic Publishing and Open Access (7 papers). В. А. Маркусова collaborates with scholars based in Russia, United States and Australia. В. А. Маркусова's co-authors include Henk F. Moed, Grant Lewison, Concepción S. Wilson, Vladimir Pislyakov, Belver C. Griffith, Alexander Varshavsky, Michel Zitt, Kostadin Ivanov, В.В. Иванов and P.P. Hearn and has published in prestigious journals such as Scientometrics, Research Evaluation and Acta Naturae.

In The Last Decade

В. А. Маркусова

54 papers receiving 471 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
В. А. Маркусова Russia 12 291 126 110 78 45 61 518
Antonio González-Molina Spain 7 199 0.7× 79 0.6× 32 0.3× 27 0.3× 39 0.9× 19 437
Tindaro Cicero Italy 14 257 0.9× 40 0.3× 30 0.3× 96 1.2× 88 2.0× 23 462
Otto Auranen Finland 5 166 0.6× 37 0.3× 39 0.4× 107 1.4× 124 2.8× 10 430
Paul N. Mbatia United States 6 78 0.3× 70 0.6× 23 0.2× 18 0.2× 28 0.6× 16 306
Pedro Albarrán Spain 11 206 0.7× 35 0.3× 24 0.2× 34 0.4× 166 3.7× 26 435
Hugo Confraria Netherlands 7 85 0.3× 33 0.3× 19 0.2× 31 0.4× 55 1.2× 9 292
Richard D Jones Norway 5 234 0.8× 101 0.8× 67 0.6× 51 0.7× 24 0.5× 6 444
Diego Chavarro United Kingdom 8 100 0.3× 32 0.3× 46 0.4× 30 0.4× 32 0.7× 26 316
Anny Wong United States 9 44 0.2× 46 0.4× 13 0.1× 38 0.5× 58 1.3× 30 283
Rosa Scoble United Kingdom 4 84 0.3× 21 0.2× 35 0.3× 37 0.5× 53 1.2× 7 379

Countries citing papers authored by В. А. Маркусова

Since Specialization
Citations

This map shows the geographic impact of В. А. Маркусова's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by В. А. Маркусова with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites В. А. Маркусова more than expected).

Fields of papers citing papers by В. А. Маркусова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by В. А. Маркусова. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by В. А. Маркусова. The network helps show where В. А. Маркусова may publish in the future.

Co-authorship network of co-authors of В. А. Маркусова

This figure shows the co-authorship network connecting the top 25 collaborators of В. А. Маркусова. A scholar is included among the top collaborators of В. А. Маркусова based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with В. А. Маркусова. В. А. Маркусова is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Маркусова, В. А., et al.. (2023). Priority Areas of Scientific Cooperation between Scientists of Russia, Iran, India, and Turkey: Bibliometric Analysis According to the InCites Database (2011–2021). Automatic Documentation and Mathematical Linguistics. 57(5). 274–283. 1 indexed citations
2.
3.
Маркусова, В. А., et al.. (2021). The Publication Activities of Russian Scientists in the Field of Medicine and Healthcare in Comparison with World Trends (1993–2019). Automatic Documentation and Mathematical Linguistics. 55(5). 219–228. 1 indexed citations
4.
Маркусова, В. А., et al.. (2020). Handbook for Scientometrics: Indicators of science and technology development. Electronic scientific archive of UrFU (Ural Federal University). 10 indexed citations
5.
Маркусова, В. А., et al.. (2019). Dynamics of Russia’s Publication Activity in 1993–2017 Based on Web of Science Data. Automatic Documentation and Mathematical Linguistics. 53(2). 51–63. 11 indexed citations
6.
Маркусова, В. А., et al.. (2016). Government investments and the publishing activity of higher educational institutions: Bibliometric analysis. Herald of the Russian Academy of Sciences. 86(4). 314–321. 27 indexed citations
7.
Иванов, В.В., et al.. (2016). Государственные инвестиции и публикационная активность вузов: библиометрический анализ. Вестник Российской академии наук. 86(7). 611–619. 2 indexed citations
8.
Маркусова, В. А., et al.. (2015). Bibliometric studies of scientific collaboration: International trends. Automatic Documentation and Mathematical Linguistics. 49(2). 59–64. 12 indexed citations
9.
Маркусова, В. А., et al.. (2014). Bibliometric analysis of competitive research project results. Scientific and Technical Information Processing. 41(4). 254–264. 1 indexed citations
10.
Маркусова, В. А., et al.. (2014). Руководство по наукометрии: индикаторы развития науки и технологии : [монография]. Electronic scientific archive of UrFU (Ural Federal University). 6 indexed citations
11.
Маркусова, В. А., et al.. (2014). Влияние грантового финансирования на эффективность научных исследований в высшей школе. Вестник Российской академии наук. 84(12). 1080–1089. 1 indexed citations
12.
Маркусова, В. А., et al.. (2014). Publishing performance indicators by the Russian Academy of Sciences and by Russian universities, WoS 2007–2011. Scientific and Technical Information Processing. 41(2). 145–154. 1 indexed citations
13.
Маркусова, В. А., et al.. (2014). Publication activity and research cooperation between higher education institutions and the Russian Academy of Sciences. Herald of the Russian Academy of Sciences. 84(1). 28–34. 15 indexed citations
14.
Маркусова, В. А.. (2012). All Russian Institute for Scientific and Technical Information (viniti) of the Russian Academy of Sciences. Acta Informatica Medica. 20(2). 113–113. 10 indexed citations
15.
Маркусова, В. А., et al.. (2012). Research performance and collaboration in the Novosibirsk region. Scientometrics. 91(2). 513–526. 10 indexed citations
16.
Маркусова, В. А., et al.. (2012). Impact of competitive funding on research output in Russia. Collnet Journal of Scientometrics and Information Management. 6(1). 61–69. 7 indexed citations
17.
Lewison, Grant & В. А. Маркусова. (2010). The evaluation of Russian cancer research. Research Evaluation. 19(2). 129–144. 32 indexed citations
18.
Маркусова, В. А., et al.. (2009). Bibliometric indicators of Russian Science and of the Russian Academy of Sciences (1997–2007). Herald of the Russian Academy of Sciences. 79(3). 197–204. 19 indexed citations
19.
Маркусова, В. А., et al.. (1996). Information behavior of Russian scientists in the “Perestroika” period. Scientometrics. 37(2). 361–380. 7 indexed citations
20.
Маркусова, В. А. & Belver C. Griffith. (1991). Highly cited Soviet journals in the physical and life sciences: A study of the function of journals. Scientometrics. 21(1). 99–113. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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