Igor Koval
Impact in
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- Dementia and Cognitive Impairment Research
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- Brain Tumor Detection and Classification
- Neurological disorders and treatments
Papers in
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- Military Technology and Strategies 6
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- Dementia and Cognitive Impairment Research 6
- Co-authors
- Stanley Durrleman (7 shared papers)Olivier Colliot (3 shared papers)Stéphane Epelbaum (4 shared papers)Alexandre Bône (2 shared papers)Simona Bottani (2 shared papers)Stéphanie Allassonnière (2 shared papers)Ninon Burgos (2 shared papers)Alexandre Routier (1 shared paper)
- Journals
- Alzheimer s & Dementia (2 papers)Scientific Reports (2 papers)Nature Communications (1 paper)Medical Image Analysis (1 paper)Frontiers in Neurology (1 paper)
- Partner nations
- FranceCzechiaUnited States
In The Last Decade
Igor Koval
11 papers receiving 162 citations
Peers
Comparison fields: 5 of 50
- Psychiatry and Mental health 86
- Neurology 28
- Cognitive Neuroscience 40
- Geriatrics and Gerontology 8
- Health Information Management 7
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 58 | |
| 2 | 2021 | 41 | |
| 3 | 2023 | 25 | |
| 4 | 2018 | 22 | |
| 5 | 2022 | 10 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 3 | |
| 8 | 2019 | 3 | |
| 9 | 2021 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2017 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2017 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2023 | 0 | |
| 17 | 2023 | 0 | |
| 18 | 2023 | 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, Cognitive Neuroscience and Health, Toxicology and Mutagenesis, having authored 21 papers that have together received 172 indexed citations. Recurring topics across this work include Military Technology and Strategies (6 papers), Dementia and Cognitive Impairment Research (6 papers), Cybersecurity and Information Systems (3 papers), Health, Environment, Cognitive Aging (2 papers), Alzheimer's disease research and treatments (2 papers), Machine Learning in Healthcare (2 papers), Functional Brain Connectivity Studies (2 papers) and Material Properties and Failure Mechanisms (1 paper). The work is most often cited by research in Psychiatry and Mental health (86 citations), Neurology (28 citations), Cognitive Neuroscience (40 citations), Geriatrics and Gerontology (8 citations) and Health Information Management (7 citations). Igor Koval has collaborated with scholars based in France, Czechia and United States. Frequent co-authors include Stanley Durrleman, Olivier Colliot, Stéphane Epelbaum, Alexandre Bône, Simona Bottani, Stéphanie Allassonnière, Ninon Burgos, Alexandre Routier, Elina Thibeau–Sutre and Manon Ansart. Their work appears in journals such as Alzheimer s & Dementia, Scientific Reports, Nature Communications, Medical Image Analysis and Frontiers in Neurology.
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.