Mikhail Moshkov
Impact in
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- Rough Sets and Fuzzy Logic
- Information Systems top 5%
- Data Mining Algorithms and Applications
Papers in
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- Rough Sets and Fuzzy Logic 74
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- Statistical and Computational Modeling 24
- Machine Learning and Data Classification 11
- Machine Learning and Algorithms 9
- Imbalanced Data Classification Techniques 7
- Bayesian Modeling and Causal Inference 7
- Co-authors
- Igor Chikalov (45 shared papers)Beata Zielosko (29 shared papers)Shahid Hussain (20 shared papers)Jean‐Claude Latombe (2 shared papers)Andrzej Skowron (4 shared papers)Zbigniew Suraj (3 shared papers)Maciej Paszyński (5 shared papers)Victor M. Calo (3 shared papers)
- Journals
- Discrete Applied Mathematics (7 papers)Information Sciences (3 papers)Fundamenta Informaticae (24 papers)Array (2 papers)European Journal of Operational Research (2 papers)
- Partner nations
- Saudi ArabiaPolandUnited States
In The Last Decade
Mikhail Moshkov
93 papers receiving 492 citations
Peers
Comparison fields: 5 of 93
- Computational Theory and Mathematics 340
- Information Systems 202
- Artificial Intelligence 287
- Management Science and Operations Research 51
- Computer Graphics and Computer-Aided Design 12
Countries citing papers authored by Mikhail Moshkov
This map shows the geographic impact of Mikhail Moshkov'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 Mikhail Moshkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Moshkov more than expected).
Fields of papers citing papers by Mikhail Moshkov
This network shows the impact of papers produced by Mikhail Moshkov. 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 Mikhail Moshkov. The network helps show where Mikhail Moshkov may publish in the future.
Co-authors
The 16 scholars most cited alongside Mikhail Moshkov, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 34 | |
| 2 | 2008 | 22 | |
| 3 | 2011 | 22 | |
| 4 | 2018 | 20 | |
| 5 | 2000 | 19 | |
| 6 | 2012 | 18 | |
| 7 | 2012 | 16 | |
| 8 | Dagger: A Tool for Analysis and Optimization of Decision Trees and Rules | 2011 | 16 |
| 9 | 2011 | 15 | |
| 10 | 2019 | 15 | |
| 11 | 2017 | 13 | |
| 12 | On Construction of Partial Reducts and Irreducible Partial Decision Rules | 2007 | 12 |
| 13 | 2021 | 12 | |
| 14 | 2017 | 11 | |
| 15 | 2014 | 11 | |
| 16 | 2014 | 10 | |
| 17 | 2016 | 10 | |
| 18 | 2013 | 9 | |
| 19 | 2009 | 9 | |
| 20 | 2008 | 9 |
About Mikhail Moshkov
Mikhail Moshkov is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Information Systems, Management Science and Operations Research and Computer Networks and Communications, having authored 103 papers that have together received 508 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (74 papers), Data Mining Algorithms and Applications (45 papers), Statistical and Computational Modeling (24 papers), Machine Learning and Data Classification (11 papers), Multi-Criteria Decision Making (10 papers), Machine Learning and Algorithms (9 papers), Imbalanced Data Classification Techniques (7 papers) and Bayesian Modeling and Causal Inference (7 papers). The work is most often cited by research in Computational Theory and Mathematics (340 citations), Information Systems (202 citations), Artificial Intelligence (287 citations), Management Science and Operations Research (51 citations) and Computer Graphics and Computer-Aided Design (12 citations). Mikhail Moshkov has collaborated with scholars based in Saudi Arabia, Poland and United States. Frequent co-authors include Igor Chikalov, Beata Zielosko, Shahid Hussain, Jean‐Claude Latombe, Andrzej Skowron, Zbigniew Suraj, Maciej Paszyński, Victor M. Calo, Vadim Lozin and Hung Son Nguyen. Their work appears in journals such as Discrete Applied Mathematics, Information Sciences, Fundamenta Informaticae, Array and European Journal of Operational Research.
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.