Vladimir Pislyakov
- Biomedical Engineering
- Statistics, Probability and Uncertainty top 2%
- Aerospace Engineering top 10%
- Information Systems top 10%
- Computational Mechanics
- Co-authors
- M. A. MironovMikhail MironovMaia ChankselianiAndrey LovakovIvan SterligovFuad AleskerovВ. А. МаркусоваVincent Larivière
- Topics
- scientometrics and bibliometrics research (16 papers)Academic Publishing and Open Access (4 papers)Scientific Research and Philosophical Inquiry (2 papers)
- Cited by
- Statistics, Probability and UncertaintyInformation Systems and ManagementAerospace Engineering
- Journals
- SHILAP Revista de lepidopterologíaJournal of Sound and VibrationScientometrics
- Partner nations
- RussiaUnited StatesCanada
In The Last Decade
Vladimir Pislyakov
22 papers receiving 450 citations
Peers
Comparison fields: 5 of 90
- Biomedical Engineering 173
- Statistics, Probability and Uncertainty 161
- Aerospace Engineering 116
- Information Systems 75
- Computational Mechanics 54
Countries citing papers authored by Vladimir Pislyakov
This map shows the geographic impact of Vladimir Pislyakov'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 Vladimir Pislyakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Pislyakov more than expected).
Fields of papers citing papers by Vladimir Pislyakov
This network shows the impact of papers produced by Vladimir Pislyakov. 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 Vladimir Pislyakov. The network helps show where Vladimir Pislyakov may publish in the future.
Co-authorship network of co-authors of Vladimir Pislyakov
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Pislyakov. A scholar is included among the top collaborators of Vladimir Pislyakov 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 Vladimir Pislyakov. Vladimir Pislyakov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 44 | |
| 7 | 10 | |
| 8 | 57 | |
| 9 | Russian Women in Academia: Bibliometrics | 3 |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 6 | |
| 13 | 54 | |
| 14 | 37 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 15 | |
| 19 | 14 | |
| 20 | 125 |
About Vladimir Pislyakov
Vladimir Pislyakov is a scholar working on Statistics, Probability and Uncertainty, Information Systems and Management and General Social Sciences, having authored 25 papers that have together received 487 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (16 papers), Academic Publishing and Open Access (4 papers) and Scientific Research and Philosophical Inquiry (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (161 citations), Information Systems and Management (44 citations) and Aerospace Engineering (116 citations). Vladimir Pislyakov has collaborated with scholars based in Russia, United States and Canada. Frequent co-authors include M. A. Mironov, Mikhail Mironov, Maia Chankseliani, Andrey Lovakov, Ivan Sterligov, Fuad Aleskerov, В. А. Маркусова, Vincent Larivière, Chaoqun Ni and Cassidy R. Sugimoto. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Sound and Vibration and Scientometrics.
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.