Alex Fedorov
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
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- Functional Brain Connectivity Studies 4
- EEG and Brain-Computer Interfaces 2
- Neural dynamics and brain function 2
- Neuroscience and Music Perception 1
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- Advanced Neuroimaging Techniques and Applications 1
- Advanced MRI Techniques and Applications 1
- Co-authors
- Vince D. Calhoun (5 shared papers)Yuhui Du (2 shared papers)Sergey Plis (4 shared papers)Manish Bhattarai (1 shared paper)Anees Abrol (1 shared paper)Zening Fu (2 shared papers)Judith M. Ford (2 shared papers)Daniel H. Mathalon (1 shared paper)
- Journals
- Stroke (1 paper)Scientific Reports (1 paper)Human Brain Mapping (1 paper)NeuroImage Clinical (1 paper)NeuroImage (1 paper)
- Partner nations
- United StatesChinaAustria
In The Last Decade
Alex Fedorov
6 papers receiving 213 citations
Peers
Comparison fields: 5 of 44
- Neurology 62
- Cognitive Neuroscience 105
- Health Information Management 20
- Psychiatry and Mental health 46
- Health Informatics 4
Countries citing papers authored by Alex Fedorov
This map shows the geographic impact of Alex Fedorov'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 Alex Fedorov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Fedorov more than expected).
Fields of papers citing papers by Alex Fedorov
This network shows the impact of papers produced by Alex Fedorov. 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 Alex Fedorov. The network helps show where Alex Fedorov may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Fedorov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 119 | |
| 2 | 2019 | 75 | |
| 3 | 2022 | 13 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 2 | |
| 6 | 2025 | 1 |
About Alex Fedorov
Alex Fedorov is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Rehabilitation and Infectious Diseases, having authored 6 papers that have together received 217 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (4 papers), EEG and Brain-Computer Interfaces (2 papers), Neural dynamics and brain function (2 papers), Stroke Rehabilitation and Recovery (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper), Neuroscience and Music Perception (1 paper), Neonatal and fetal brain pathology (1 paper) and Advanced MRI Techniques and Applications (1 paper). The work is most often cited by research in Neurology (62 citations), Cognitive Neuroscience (105 citations), Health Information Management (20 citations), Psychiatry and Mental health (46 citations) and Health Informatics (4 citations). Alex Fedorov has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Vince D. Calhoun, Yuhui Du, Sergey Plis, Manish Bhattarai, Anees Abrol, Zening Fu, Judith M. Ford, Daniel H. Mathalon, Dongdong Lin and Eswar Damaraju. Their work appears in journals such as Stroke, Scientific Reports, Human Brain Mapping, NeuroImage Clinical and NeuroImage.
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.