Sergey V. Kovalchuk
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- Artificial Intelligence in Healthcare 12
- Electronic Health Records Systems 9
- Health Informatics top 5%
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- Scientific Computing and Data Management 19
- Management Information Systems top 10%
- Information Systems top 5%
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- Distributed and Parallel Computing Systems 19
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- Machine Learning in Healthcare 14
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- Biomedical Text Mining and Ontologies 8
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- Simulation Techniques and Applications 8
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- Healthcare Operations and Scheduling Optimization 7
- Co-authors
- A. N. YakovlevOleg MetskerAlexander V. BoukhanovskyValeria V. KrzhizhanovskayaDenis NasonovAlexander VisheratinAdam BelloumMarc X. Makkes
- Partner nations
- RussiaNetherlandsUnited States
In The Last Decade
Sergey V. Kovalchuk
100 papers receiving 796 citations
Peers
Comparison fields: 5 of 125
- Health Information Management 135
- Health Informatics 29
- Information Systems and Management 147
- Management Information Systems 74
- Information Systems 178
Countries citing papers authored by Sergey V. Kovalchuk
This map shows the geographic impact of Sergey V. Kovalchuk'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 Sergey V. Kovalchuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey V. Kovalchuk more than expected).
Fields of papers citing papers by Sergey V. Kovalchuk
This network shows the impact of papers produced by Sergey V. Kovalchuk. 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 Sergey V. Kovalchuk. The network helps show where Sergey V. Kovalchuk may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sergey V. Kovalchuk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 13 | |
| 11 | 2020 | 2 | |
| 12 | 2020 | 19 | |
| 13 | Integration of quality management and digital technologies | 2019 | 16 |
| 14 | 2019 | 1 | |
| 15 | 2018 | 60 | |
| 16 | 2018 | 17 | |
| 17 | 2018 | 0 | |
| 18 | 2017 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2016 | 0 |
About Sergey V. Kovalchuk
Sergey V. Kovalchuk is a scholar working on Health Information Management, Information Systems and Management and Management Science and Operations Research, having authored 110 papers that have together received 825 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (19 papers), Scientific Computing and Data Management (19 papers), Machine Learning in Healthcare (14 papers), Artificial Intelligence in Healthcare (12 papers), Electronic Health Records Systems (9 papers), Biomedical Text Mining and Ontologies (8 papers), Simulation Techniques and Applications (8 papers) and Healthcare Operations and Scheduling Optimization (7 papers). The work is most often cited by research in Health Information Management (135 citations), Health Informatics (29 citations) and Information Systems and Management (147 citations). Sergey V. Kovalchuk has collaborated with scholars based in Russia, Netherlands and United States. Frequent co-authors include A. N. Yakovlev, Oleg Metsker, Alexander V. Boukhanovsky, Valeria V. Krzhizhanovskaya, Denis Nasonov, Alexander Visheratin, Adam Belloum, Marc X. Makkes, Georgy Kopanitsa and Klavdiya Bochenina.
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.