Valerii V. Fedorov
- Management Science and Operations Research top 0.5%
- Statistics and Probability top 0.5%
- Computational Theory and Mathematics top 0.5%
- Statistics, Probability and Uncertainty top 0.5%
- Economics and Econometrics top 5%
- Co-authors
- Anthony C. AtkinsonPeter HacklSergei LeonovVladimir DragalinRongmei ZhangFrank ManninoYuehui WuVladimir V. Anisimov
- Topics
- Statistical Methods in Clinical Trials (27 papers)Optimal Experimental Design Methods (26 papers)Advanced Statistical Methods and Models (8 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Valerii V. Fedorov
49 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 163
- Management Science and Operations Research 934
- Statistics and Probability 735
- Computational Theory and Mathematics 620
- Statistics, Probability and Uncertainty 366
- Economics and Econometrics 164
Countries citing papers authored by Valerii V. Fedorov
This map shows the geographic impact of Valerii V. Fedorov'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 Valerii V. Fedorov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valerii V. Fedorov more than expected).
Fields of papers citing papers by Valerii V. Fedorov
This network shows the impact of papers produced by Valerii V. Fedorov. 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 Valerii V. Fedorov. The network helps show where Valerii V. Fedorov may publish in the future.
Co-authorship network of co-authors of Valerii V. Fedorov
This figure shows the co-authorship network connecting the top 25 collaborators of Valerii V. Fedorov. A scholar is included among the top collaborators of Valerii V. Fedorov 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 Valerii V. Fedorov. Valerii V. Fedorov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 148 | |
| 4 | 5 | |
| 5 | 30 | |
| 6 | 22 | |
| 7 | 33 | |
| 8 | 210 | |
| 9 | 72 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 27 | |
| 14 | 13 | |
| 15 | 24 | |
| 16 | 11 | |
| 17 | 9 | |
| 18 | 39 | |
| 19 | 200 | |
| 20 | 17 |
About Valerii V. Fedorov
Valerii V. Fedorov is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (27 papers), Optimal Experimental Design Methods (26 papers) and Advanced Statistical Methods and Models (8 papers). The work is most often cited by research in Statistics and Probability (735 citations), Management Science and Operations Research (934 citations) and Statistics, Probability and Uncertainty (366 citations). Valerii V. Fedorov has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Anthony C. Atkinson, Peter Hackl, Sergei Leonov, Vladimir Dragalin, Rongmei Zhang, Frank Mannino, Yuehui Wu, Vladimir V. Anisimov, Byron Jones and Robert Gagnon. Their work appears in journals such as Journal of Applied Physics, Technometrics and Biometrika.
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.