A. Е. Guskov
Impact in
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- scientometrics and bibliometrics research
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- Academic Publishing and Open Access
Papers in
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- scientometrics and bibliometrics research 18
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- Scientific Research and Philosophical Inquiry 6
- Research Data Management Practices 5
- Co-authors
- D. V. Kosyakov (28 shared papers)Н. А. Мазов (4 shared papers)Boris Ryabko (2 shared papers)В. Н. Гуреев (3 shared papers)Victor V. Atuchin∥⊥ (1 shared paper)Denis Sh. Sabirov (1 shared paper)И. Е. Меньщиков (1 shared paper)А. В. Школин (1 shared paper)
In The Last Decade
A. Е. Guskov
39 papers receiving 250 citations
Peers
Comparison fields: 5 of 61
- Statistics, Probability and Uncertainty 144
- Information Systems and Management 45
- Development 19
- Information Systems 104
- Political Science and International Relations 39
Countries citing papers authored by A. Е. Guskov
This map shows the geographic impact of A. Е. Guskov'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 A. Е. Guskov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Е. Guskov more than expected).
Fields of papers citing papers by A. Е. Guskov
This network shows the impact of papers produced by A. Е. Guskov. 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 A. Е. Guskov. The network helps show where A. Е. Guskov may publish in the future.
Co-authors
The 8 scholars most cited alongside A. Е. Guskov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 72 | |
| 2 | 2019 | 26 | |
| 3 | 2020 | 23 | |
| 4 | 2019 | 22 | |
| 5 | 2016 | 21 | |
| 6 | 2017 | 20 | |
| 7 | 2019 | 11 | |
| 8 | 2019 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2023 | 8 | |
| 11 | 2020 | 8 | |
| 12 | Synchronous scientific mobility and international collaboration: case of Russia | 2019 | 8 |
| 13 | 2015 | 7 | |
| 14 | 2017 | 6 | |
| 15 | 2017 | 6 | |
| 16 | 2019 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2014 | 4 |
About A. Е. Guskov
A. Е. Guskov is a scholar working on Statistics, Probability and Uncertainty, Information Systems, Artificial Intelligence, Molecular Biology and Information Systems and Management, having authored 44 papers that have together received 317 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (18 papers), Scientific Research and Philosophical Inquiry (6 papers), Advanced Text Analysis Techniques (5 papers), Academic Publishing and Open Access (5 papers), Research Data Management Practices (5 papers), Biomedical Text Mining and Ontologies (4 papers), Economic and Technological Developments in Russia (3 papers) and Conferences and Exhibitions Management (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (144 citations), Information Systems and Management (45 citations), Development (19 citations), Information Systems (104 citations) and Political Science and International Relations (39 citations). A. Е. Guskov has collaborated with scholars based in Russia, Belarus and Estonia. Frequent co-authors include D. V. Kosyakov, Н. А. Мазов, Boris Ryabko, В. Н. Гуреев, Victor V. Atuchin∥⊥, Denis Sh. Sabirov, И. Е. Меньщиков and А. В. Школин. Their work appears in journals such as Scientometrics, Herald of the Russian Academy of Sciences, International Journal of Molecular Sciences, Problems of Information Transmission and Scientific and Technical Information Processing.
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.