Jay Pathmanathan
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Sleep and Wakefulness Research
- Psychiatry and Mental health top 5%
- Epilepsy research and treatment
Papers in
-
- EEG and Brain-Computer Interfaces 13
- Neural dynamics and brain function 5
- Sleep and Wakefulness Research 4
- Functional Brain Connectivity Studies 3
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- Epilepsy research and treatment 9
- Co-authors
- Sydney S. CashCatherine J. ChuMatt T. BianchiM. Brandon WestoverMark KramerDavid M. WaitzmanAndrew J. ColeIoannis Karakis
- Journals
- SLEEP (4 papers)Clinical Neurophysiology (3 papers)Neurology (2 papers)Experimental Brain Research (2 papers)JAMA Neurology (2 papers)
- Partner nations
- United StatesCanadaSingapore
In The Last Decade
Jay Pathmanathan
22 papers receiving 582 citations
Peers
Comparison fields: 5 of 72
- Cognitive Neuroscience 422
- Psychiatry and Mental health 222
- Neurology 61
- Health Informatics 9
- Cellular and Molecular Neuroscience 118
Countries citing papers authored by Jay Pathmanathan
This map shows the geographic impact of Jay Pathmanathan'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 Jay Pathmanathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Pathmanathan more than expected).
Fields of papers citing papers by Jay Pathmanathan
This network shows the impact of papers produced by Jay Pathmanathan. 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 Jay Pathmanathan. The network helps show where Jay Pathmanathan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jay Pathmanathan, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 16 | |
| 10 | 2021 | 4 | |
| 11 | 2020 | 11 | |
| 12 | 2019 | 2 | |
| 13 | 2018 | 3 | |
| 14 | 2016 | 22 | |
| 15 | 2013 | 45 | |
| 16 | 2011 | 15 | |
| 17 | 2008 | 38 | |
| 18 | 2005 | 31 | |
| 19 | 2005 | 22 | |
| 20 | 2002 | 22 |
About Jay Pathmanathan
Jay Pathmanathan is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Neurology, Experimental and Cognitive Psychology and Family Practice, having authored 28 papers that have together received 592 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (13 papers), Epilepsy research and treatment (9 papers), Sleep and related disorders (6 papers), Neural dynamics and brain function (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Sleep and Wakefulness Research (4 papers), Functional Brain Connectivity Studies (3 papers) and Vestibular and auditory disorders (3 papers). The work is most often cited by research in Cognitive Neuroscience (422 citations), Psychiatry and Mental health (222 citations), Neurology (61 citations), Health Informatics (9 citations) and Cellular and Molecular Neuroscience (118 citations). Jay Pathmanathan has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Sydney S. Cash, Catherine J. Chu, Matt T. Bianchi, M. Brandon Westover, Mark Kramer, David M. Waitzman, Andrew J. Cole, Ioannis Karakis, Kathleen E. Cullen and Jason A. Cromer. Their work appears in journals such as SLEEP, Clinical Neurophysiology, Neurology, Experimental Brain Research and JAMA 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.