Igor Chikalov
Impact in
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- Rough Sets and Fuzzy Logic
- Computational Drug Discovery Methods
- Artificial Intelligence top 10%
- Statistical and Computational Modeling
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Machine Learning and Algorithms
Papers in
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- Rough Sets and Fuzzy Logic 38
-
- Statistical and Computational Modeling 16
- Machine Learning and Algorithms 6
- Imbalanced Data Classification Techniques 4
- Machine Learning and Data Classification 4
- Algorithms and Data Compression 3
- Co-authors
- Mikhail Moshkov (45 shared papers)Shahid Hussain (20 shared papers)Beata Zielosko (18 shared papers)Jean‐Claude Latombe (2 shared papers)Vadim Lozin (1 shared paper)Hung Son Nguyen (1 shared paper)Andrzej Skowron (1 shared paper)I. Kozintsev (1 shared paper)
- Journals
- Discrete Applied Mathematics (4 papers)Fundamenta Informaticae (11 papers)European Journal of Operational Research (1 paper)Information Sciences (1 paper)Electronics (1 paper)
- Partner nations
- Saudi ArabiaUnited StatesPoland
In The Last Decade
Igor Chikalov
47 papers receiving 312 citations
Peers
Comparison fields: 5 of 78
- Computational Theory and Mathematics 201
- Artificial Intelligence 177
- Information Systems 115
- Management Science and Operations Research 31
- Software 6
Countries citing papers authored by Igor Chikalov
This map shows the geographic impact of Igor Chikalov'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 Igor Chikalov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Chikalov more than expected).
Fields of papers citing papers by Igor Chikalov
This network shows the impact of papers produced by Igor Chikalov. 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 Igor Chikalov. The network helps show where Igor Chikalov may publish in the future.
Co-authors
The 12 scholars most cited alongside Igor Chikalov, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 35 | |
| 2 | 2018 | 20 | |
| 3 | 2000 | 19 | |
| 4 | 2012 | 18 | |
| 5 | Dagger: A Tool for Analysis and Optimization of Decision Trees and Rules | 2011 | 16 |
| 6 | 2012 | 16 | |
| 7 | 2019 | 15 | |
| 8 | 2013 | 14 | |
| 9 | 2021 | 13 | |
| 10 | 2017 | 11 | |
| 11 | 2014 | 10 | |
| 12 | 2016 | 10 | |
| 13 | 2011 | 10 | |
| 14 | 2013 | 9 | |
| 15 | 1997 | 7 | |
| 16 | 2011 | 7 | |
| 17 | 2015 | 7 | |
| 18 | 2020 | 7 | |
| 19 | Greedy Algorithm for Construction of Decision Trees for Tables with Many-Valued Decisions. | 2012 | 6 |
| 20 | 2021 | 5 |
About Igor Chikalov
Igor Chikalov 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 53 papers that have together received 318 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (38 papers), Data Mining Algorithms and Applications (26 papers), Statistical and Computational Modeling (16 papers), Multi-Criteria Decision Making (6 papers), Machine Learning and Algorithms (6 papers), Imbalanced Data Classification Techniques (4 papers), Machine Learning and Data Classification (4 papers) and Algorithms and Data Compression (3 papers). The work is most often cited by research in Computational Theory and Mathematics (201 citations), Artificial Intelligence (177 citations), Information Systems (115 citations), Management Science and Operations Research (31 citations) and Software (6 citations). Igor Chikalov has collaborated with scholars based in Saudi Arabia, United States and Poland. Frequent co-authors include Mikhail Moshkov, Shahid Hussain, Beata Zielosko, Jean‐Claude Latombe, Vadim Lozin, Hung Son Nguyen, Andrzej Skowron, I. Kozintsev, Rainer Lienhart and Alexander Borisov. Their work appears in journals such as Discrete Applied Mathematics, Fundamenta Informaticae, European Journal of Operational Research, Information Sciences and Electronics.
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.