Sergey V. Kovalchuk

1.4k total citations
110 papers, 825 citations indexed

About

Sergey V. Kovalchuk is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems and Management. According to data from OpenAlex, Sergey V. Kovalchuk has authored 110 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 20 papers in Computer Networks and Communications and 20 papers in Information Systems and Management. Recurrent topics in Sergey V. Kovalchuk's work include Distributed and Parallel Computing Systems (19 papers), Scientific Computing and Data Management (19 papers) and Machine Learning in Healthcare (14 papers). Sergey V. Kovalchuk is often cited by papers focused on Distributed and Parallel Computing Systems (19 papers), Scientific Computing and Data Management (19 papers) and Machine Learning in Healthcare (14 papers). Sergey V. Kovalchuk collaborates with scholars based in Russia, Netherlands and United States. Sergey V. Kovalchuk's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Materials.

In The Last Decade

Sergey V. Kovalchuk

100 papers receiving 796 citations

Peers

Sergey V. Kovalchuk

CNC

ISM

HIM

Paul V. Biron United States

Ivan Rozman Slovenia

José Machado Portugal

António Abelha Portugal

Omar Hussein Salman Iraq

Filipe Portela Portugal

Ankur Teredesai United States

Xiao‐Bai Li United States

Szymon Wilk Poland

Athanasios Kiourtis Greece

Paul V. Biron United States

Sergey V. Kovalchuk

472 ×2.0

184 ×1.0

102 ×0.6

CNC

48 ×0.3

ISM

411 ×3.0

HIM

Citations per year, relative to Sergey V. Kovalchuk Sergey V. Kovalchuk (= 1×) peers Paul V. Biron

Countries citing papers authored by Sergey V. Kovalchuk

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Kovalchuk, Sergey V., et al.. (2025). Open and Extensible Benchmark for Explainable Artificial Intelligence Methods. Algorithms. 18(2). 85–85. 2 indexed citations

Bochenina, Klavdiya, George Kampis, Sergey V. Kovalchuk, et al.. (2025). Evolution of the computational science community: The dynamics of topics and collaborations in 24 years of ICCS and JoCS publications. Journal of Computational Science. 89. 102609–102609.

Kovalchuk, Sergey V., et al.. (2024). RuMedSpellchecker: A new approach for advanced spelling error correction in Russian electronic health records. Journal of Computational Science. 82. 102393–102393. 1 indexed citations

Kovalchuk, Sergey V., et al.. (2023). Assessment of Cognitive Behavioral Characteristics in Intelligent Systems with Predictive Ability and Computing Power. Philosophies. 8(5). 75–75.

Kopanitsa, Georgy, Oleg Metsker, & Sergey V. Kovalchuk. (2023). Machine Learning Methods for Pregnancy and Childbirth Risk Management. Journal of Personalized Medicine. 13(6). 975–975. 8 indexed citations

Kovalchuk, Sergey V., et al.. (2023). Extending Process Discovery with Model Complexity Optimization and Cyclic States Identification: Application to Healthcare Processes. Algorithms. 16(1). 57–57. 3 indexed citations

Kovalchuk, Sergey V., Derek Groen, Maciej Paszyński, et al.. (2023). The computational planet. Journal of Computational Science. 72. 102102–102102. 2 indexed citations

Kovalchuk, Sergey V., et al.. (2023). An Experimental Outlook on Quality Metrics for Process Modelling: A Systematic Review and Meta Analysis. Algorithms. 16(6). 295–295. 1 indexed citations

Kovalchuk, Sergey V., et al.. (2022). Human perceiving behavior modeling in evaluation of code generation models. 287–294. 2 indexed citations

10.

Kovalchuk, Sergey V., et al.. (2022). Three-stage intelligent support of clinical decision making for higher trust, validity, and explainability. Journal of Biomedical Informatics. 127. 104013–104013. 13 indexed citations

11.

Kovalchuk, Sergey V., et al.. (2020). Machine Learning-Based Factor Analysis of Carbohydrate Metabolism Compensation for TDM2 Patients. Studies in health technology and informatics. 273. 123–128. 2 indexed citations

12.

Metsker, Oleg, et al.. (2020). Identification of risk factors for patients with diabetes: diabetic polyneuropathy case study. BMC Medical Informatics and Decision Making. 20(1). 201–201. 19 indexed citations

13.

Kovalchuk, Sergey V., et al.. (2019). Integration of quality management and digital technologies. 2019. 417–420. 16 indexed citations

14.

Promakhov, Vladimir, et al.. (2019). Structure and mechanical properties of ceramics parts obtained by additive technology. 132–137. 1 indexed citations

15.

Kovalchuk, Sergey V., et al.. (2018). Simulation of patient flow in multiple healthcare units using process and data mining techniques for model identification. Journal of Biomedical Informatics. 82. 128–142. 60 indexed citations

16.

Yakovlev, A. N., et al.. (2018). PREDICTION OF IN-HOSPITAL MORTALITY AND LENGTH OF STAY IN ACUTE CORONARY SYNDROME PATIENTS USING MACHINE-LEARNING METHODS. Journal of the American College of Cardiology. 71(11). A242–A242. 17 indexed citations

17.

Kovalchuk, Sergey V., et al.. (2018). Towards management of complex modeling through a hybrid evolutionary identification. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 255–256.

18.

Kovalchuk, Sergey V., et al.. (2017). Simulation model of delivering health care to the wounded in a special purpose medical unit at elimination of medical and sanitary consequences of emergency situations. Medico-Biological and Socio-Psychological Problems of Safety in Emergency Situations. 20–33. 1 indexed citations

19.

Kovalchuk, Sergey V., et al.. (2017). Early and very early detection of fire in ship rooms: results of experimental studies. SHILAP Revista de lepidopterología. 3(381). 68–74. 1 indexed citations

20.

Kovalchuk, Sergey V., et al.. (2016). Evolutionary simulation of complex networks' structures with specific functional properties. Journal of Applied Logic. 24. 39–49.

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.

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