Ivan Izonin
Impact in
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- Artificial Intelligence in Healthcare
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- Information Systems and Technology Applications
Papers in
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- Statistical and Computational Modeling 12
- AI in cancer detection 6
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- Information Systems and Technology Applications 27
- Co-authors
- Roman Tkachenko (52 shared papers)Khrystyna Zub (9 shared papers)Nataliia Lotoshynska (12 shared papers)Michal Greguš (17 shared papers)Dmytro Peleshko (8 shared papers)Krishna Kant Singh (7 shared papers)Ivanna Dronyuk (8 shared papers)Viacheslav Kovtun (9 shared papers)
In The Last Decade
Ivan Izonin
103 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 154
- Health Information Management 98
- Management Information Systems 171
- Artificial Intelligence 405
- Computer Vision and Pattern Recognition 186
- Health Informatics 10
Countries citing papers authored by Ivan Izonin
This map shows the geographic impact of Ivan Izonin'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 Ivan Izonin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Izonin more than expected).
Fields of papers citing papers by Ivan Izonin
This network shows the impact of papers produced by Ivan Izonin. 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 Ivan Izonin. The network helps show where Ivan Izonin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Izonin, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 61 | |
| 2 | 2022 | 58 | |
| 3 | 2022 | 57 | |
| 4 | 2018 | 52 | |
| 5 | 2023 | 51 | |
| 6 | 2020 | 50 | |
| 7 | 2018 | 44 | |
| 8 | 2021 | 42 | |
| 9 | 2023 | 41 | |
| 10 | 2016 | 39 | |
| 11 | 2017 | 38 | |
| 12 | 2021 | 36 | |
| 13 | 2015 | 26 | |
| 14 | 2021 | 25 | |
| 15 | 2023 | 24 | |
| 16 | 2019 | 24 | |
| 17 | 2023 | 21 | |
| 18 | 2020 | 20 | |
| 19 | 2016 | 20 | |
| 20 | 2018 | 20 |
About Ivan Izonin
Ivan Izonin is a scholar working on Artificial Intelligence, Management Information Systems, Control and Systems Engineering, Information Systems and Computer Networks and Communications, having authored 116 papers that have together received 1.4k indexed citations. Recurring topics across this work include Information Systems and Technology Applications (27 papers), Advanced Data Processing Techniques (17 papers), Statistical and Computational Modeling (12 papers), Advanced Computational Techniques in Science and Engineering (12 papers), Cybersecurity and Information Systems (10 papers), Engineering Technology and Methodologies (9 papers), AI in cancer detection (6 papers) and Enterprise Management and Information Systems (6 papers). The work is most often cited by research in Health Information Management (98 citations), Management Information Systems (171 citations), Artificial Intelligence (405 citations), Computer Vision and Pattern Recognition (186 citations) and Health Informatics (10 citations). Ivan Izonin has collaborated with scholars based in Ukraine, Slovakia and India. Frequent co-authors include Roman Tkachenko, Khrystyna Zub, Nataliia Lotoshynska, Michal Greguš, Dmytro Peleshko, Krishna Kant Singh, Ivanna Dronyuk, Viacheslav Kovtun, Natalia Kryvinska and Nataliya Shakhovska. Their work appears in journals such as Mathematical Biosciences & Engineering, Scientific Reports, Energies, IEEE Access and Sensors.
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.