Igor Koval
Impact in
- Psychiatry and Mental health top 10%
- Dementia and Cognitive Impairment Research
-
- Brain Tumor Detection and Classification
Papers in
-
- Military Technology and Strategies 6
-
- Dementia and Cognitive Impairment Research 6
- Co-authors
- Stanley Durrleman (8 shared papers)Olivier Colliot (3 shared papers)Maxime Louis (3 shared papers)Stéphane Epelbaum (4 shared papers)Alexandre Bône (2 shared papers)Ninon Burgos (2 shared papers)Raphaël Couronné (2 shared papers)Benjamin Charlier (2 shared papers)
- Journals
- Alzheimer s & Dementia (2 papers)Scientific Reports (2 papers)Medical Image Analysis (1 paper)Frontiers in Neurology (1 paper)Nature Communications (1 paper)
- Partner nations
- FranceCzechiaUnited States
In The Last Decade
Igor Koval
12 papers receiving 196 citations
Peers
Comparison fields: 5 of 49
- Psychiatry and Mental health 89
- Neurology 23
- Cognitive Neuroscience 37
- Health Information Management 7
- Artificial Intelligence 54
Countries citing papers authored by Igor Koval
This map shows the geographic impact of Igor Koval'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 Koval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Koval more than expected).
Fields of papers citing papers by Igor Koval
This network shows the impact of papers produced by Igor Koval. 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 Koval. The network helps show where Igor Koval may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Koval, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 66 | |
| 2 | 2021 | 48 | |
| 3 | 2023 | 26 | |
| 4 | 2018 | 23 | |
| 5 | 2019 | 17 | |
| 6 | 2022 | 11 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 3 | |
| 9 | 2019 | 3 | |
| 10 | 2021 | 2 | |
| 11 | 2020 | 1 | |
| 12 | 2017 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2023 | 0 | |
| 17 | 2023 | 0 | |
| 18 | 2016 | 0 | |
| 19 | 2020 | 0 | |
| 20 | 2017 | 0 |
About Igor Koval
Igor Koval is a scholar working on Aerospace Engineering, Psychiatry and Mental health, Computer Networks and Communications, Artificial Intelligence and Cognitive Neuroscience, having authored 22 papers that have together received 207 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (6 papers), Military Technology and Strategies (6 papers), Cybersecurity and Information Systems (3 papers), Alzheimer's disease research and treatments (2 papers), Machine Learning in Healthcare (2 papers), Health, Environment, Cognitive Aging (2 papers), Functional Brain Connectivity Studies (2 papers) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Psychiatry and Mental health (89 citations), Neurology (23 citations), Cognitive Neuroscience (37 citations), Health Information Management (7 citations) and Artificial Intelligence (54 citations). Igor Koval has collaborated with scholars based in France, Czechia and United States. Frequent co-authors include Stanley Durrleman, Olivier Colliot, Maxime Louis, Stéphane Epelbaum, Alexandre Bône, Ninon Burgos, Raphaël Couronné, Benjamin Charlier, Simona Bottani and Stéphanie Allassonnière. Their work appears in journals such as Alzheimer s & Dementia, Scientific Reports, Medical Image Analysis, Frontiers in Neurology and Nature Communications.
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.