Fadi Mikhail
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
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- Epilepsy research and treatment
Papers in
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- Functional Brain Connectivity Studies 4
- EEG and Brain-Computer Interfaces 3
- Neural dynamics and brain function 3
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- Nerve injury and regeneration 1
- Neuroscience and Neural Engineering 1
- Co-authors
- Kathryn A. Davis (5 shared papers)Danielle S. Bassett (5 shared papers)Brian Litt (5 shared papers)Arian Ashourvan (3 shared papers)Russell T. Shinohara (3 shared papers)Preya Shah (3 shared papers)Lohith G. Kini (3 shared papers)Sandhitsu R. Das (2 shared papers)
- Journals
- Brain (2 papers)Human Molecular Genetics (1 paper)Journal of Neural Engineering (1 paper)Neurology Genetics (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Fadi Mikhail
8 papers receiving 254 citations
Peers
Comparison fields: 5 of 45
- Cognitive Neuroscience 204
- Psychiatry and Mental health 82
- Cellular and Molecular Neuroscience 53
- Neurology 39
- Neurology 20
Countries citing papers authored by Fadi Mikhail
This map shows the geographic impact of Fadi Mikhail'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 Fadi Mikhail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fadi Mikhail more than expected).
Fields of papers citing papers by Fadi Mikhail
This network shows the impact of papers produced by Fadi Mikhail. 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 Fadi Mikhail. The network helps show where Fadi Mikhail may publish in the future.
Co-authors
The 25 scholars most cited alongside Fadi Mikhail, 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 | 2019 | 86 | |
| 2 | 2019 | 58 | |
| 3 | 2021 | 46 | |
| 4 | 2020 | 20 | |
| 5 | 2020 | 18 | |
| 6 | 2015 | 18 | |
| 7 | 2018 | 6 | |
| 8 | 2016 | 4 | |
| 9 | 2023 | 0 |
About Fadi Mikhail
Fadi Mikhail is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health, having authored 9 papers that have together received 256 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (4 papers), EEG and Brain-Computer Interfaces (3 papers), Neural dynamics and brain function (3 papers), Epilepsy research and treatment (2 papers), Neurological diseases and metabolism (1 paper), Poisoning and overdose treatments (1 paper), Nerve injury and regeneration (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cognitive Neuroscience (204 citations), Psychiatry and Mental health (82 citations), Cellular and Molecular Neuroscience (53 citations), Neurology (39 citations) and Neurology (20 citations). Fadi Mikhail has collaborated with scholars based in United States and France. Frequent co-authors include Kathryn A. Davis, Danielle S. Bassett, Brian Litt, Arian Ashourvan, Russell T. Shinohara, Preya Shah, Lohith G. Kini, Sandhitsu R. Das, Joel M. Stein and Kelly Oechsel. Their work appears in journals such as Brain, Human Molecular Genetics, Journal of Neural Engineering, Neurology Genetics and Proceedings of the National Academy of Sciences.
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.