Sergey V. Kovalchuk
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 5%
- Information Systems and Management top 5%
- Health Information Management top 1%
- Co-authors
- A. N. YakovlevOleg MetskerAlexander V. BoukhanovskyValeria V. KrzhizhanovskayaDenis NasonovAlexander VisheratinAdam BelloumMarc X. Makkes
- Topics
- Distributed and Parallel Computing Systems (19 papers)Scientific Computing and Data Management (19 papers)Machine Learning in Healthcare (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyMaterials
- Partner nations
- RussiaNetherlandsUnited States
In The Last Decade
Sergey V. Kovalchuk
100 papers receiving 796 citations
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 234
- Information Systems 178
- Computer Networks and Communications 174
- Information Systems and Management 147
- Health Information Management 135
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 of co-authors of Sergey V. Kovalchuk
This figure shows the co-authorship network connecting the top 25 collaborators of Sergey V. Kovalchuk. A scholar is included among the top collaborators of Sergey V. Kovalchuk 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 Sergey V. Kovalchuk. Sergey V. Kovalchuk 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | 2 | |
| 12 | 19 | |
| 13 | Integration of quality management and digital technologies | 16 |
| 14 | 1 | |
| 15 | 60 | |
| 16 | 17 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 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) and Machine Learning in Healthcare (14 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Materials.
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.