Jay Pathmanathan

1.1k total citations
28 papers, 592 citations indexed

About

Jay Pathmanathan is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jay Pathmanathan has authored 28 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 9 papers in Psychiatry and Mental health and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jay Pathmanathan's work include EEG and Brain-Computer Interfaces (13 papers), Epilepsy research and treatment (9 papers) and Sleep and related disorders (6 papers). Jay Pathmanathan is often cited by papers focused on EEG and Brain-Computer Interfaces (13 papers), Epilepsy research and treatment (9 papers) and Sleep and related disorders (6 papers). Jay Pathmanathan collaborates with scholars based in United States, Canada and Singapore. Jay Pathmanathan's co-authors include Sydney S. Cash, Catherine J. Chu, Matt T. Bianchi, Mark Kramer, M. Brandon Westover, David M. Waitzman, Andrew J. Cole, Ioannis Karakis, Jason A. Cromer and Kathleen E. Cullen and has published in prestigious journals such as Journal of Neuroscience, Neurology and Annals of the New York Academy of Sciences.

In The Last Decade

Jay Pathmanathan

22 papers receiving 582 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jay Pathmanathan United States 12 422 222 118 61 60 28 592
Boney Joseph United States 15 306 0.7× 354 1.6× 83 0.7× 37 0.6× 22 0.4× 34 654
Giulia Regalia Italy 11 346 0.8× 253 1.1× 187 1.6× 21 0.3× 67 1.1× 17 632
Giampaolo Vatti Italy 15 359 0.9× 301 1.4× 146 1.2× 73 1.2× 66 1.1× 24 867
Masahiko Bundo Japan 9 241 0.6× 122 0.5× 61 0.5× 52 0.9× 58 1.0× 21 494
Valeria Saccà United States 11 226 0.5× 161 0.7× 70 0.6× 69 1.1× 47 0.8× 22 461
Francisco Sales Portugal 16 714 1.7× 476 2.1× 198 1.7× 53 0.9× 74 1.2× 65 1.1k
Alberto Leal Portugal 19 592 1.4× 262 1.2× 192 1.6× 108 1.8× 70 1.2× 43 924
Jaishree Narayanan United States 9 251 0.6× 174 0.8× 84 0.7× 106 1.7× 33 0.6× 15 444
Shobi Sivathamboo Australia 13 269 0.6× 342 1.5× 95 0.8× 40 0.7× 34 0.6× 26 514
Benoît Crépon France 8 489 1.2× 221 1.0× 272 2.3× 73 1.2× 30 0.5× 12 579

Countries citing papers authored by Jay Pathmanathan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jay Pathmanathan

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Pathmanathan. A scholar is included among the top collaborators of Jay Pathmanathan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jay Pathmanathan. Jay Pathmanathan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Pathmanathan, Jay, M. Brandon Westover, Sudhir Sivakumaran, Jacob Donoghue, & Corey B. Puryear. (2025). The role of sleep in Alzheimer’s disease: a mini review. Frontiers in Neuroscience. 19. 1428733–1428733.
3.
Scammell, Thomas E., Alexandre Datta, Ina Djonlagic, et al.. (2024). Hyperarousal features in the sleep architecture of individuals with and without insomnia. Journal of Sleep Research. 34(1). e14256–e14256. 4 indexed citations
4.
Çakır, Ahmet, et al.. (2024). 1079 Robust Automated Sleep Staging Using Only EEG Signals. SLEEP. 47(Supplement_1). A463–A464.
5.
Kleinschmidt, Dave, et al.. (2024). 0662 Accurate Automated Sleep Staging of Narcoleptic Patients Using a Machine Learning Model. SLEEP. 47(Supplement_1). A283–A283.
6.
Zheng, Kevin, Dave Kleinschmidt, Phillip M. Alday, et al.. (2023). 0907 Macro and microarchitectural sleep features in Alzheimer’s dementia and mild cognitive impairment in a large clinical cohort. SLEEP. 46(Supplement_1). A399–A400.
7.
Fernandez, Andres, Jeremy J. Moeller, Dana Harrar, et al.. (2023). Curriculum Innovation: Design and Implementation of Synchronous and Asynchronous Curricula to Enhance Residents' EEG Knowledge and Experience. PubMed Central. 2(4). 4 indexed citations
8.
9.
Shinohara, Russell T., et al.. (2022). Quantitative artifact reduction and pharmacologic paralysis improve detection of EEG epileptiform activity in critically ill patients. Clinical Neurophysiology. 145. 89–97. 1 indexed citations
10.
Quigg, Mark, Carl W. Bazil, Mélanie Boly, et al.. (2021). Proceedings of the Sleep and Epilepsy Workshop: Section 1 Decreasing Seizures: Improving Sleep and Seizures, Themes for Future Research. Epiliepsy currents. 21(3). 204–209. 6 indexed citations
11.
Bernabei, John M., Steven N. Baldassano, Erin C. Conrad, et al.. (2021). A Full-Stack Application for Detecting Seizures and Reducing Data During Continuous Electroencephalogram Monitoring. Critical Care Explorations. 3(7). e0476–e0476. 4 indexed citations
12.
Baldassano, Steven N., Shawniqua Williams Roberson, Ramani Balu, et al.. (2020). IRIS: A Modular Platform for Continuous Monitoring and Caretaker Notification in the Intensive Care Unit. IEEE Journal of Biomedical and Health Informatics. 24(8). 2389–2397. 11 indexed citations
13.
14.
Weber, Daniel, David C. McCarthy, & Jay Pathmanathan. (2016). An effective automated method for teaching EEG interpretation to neurology residents. Seizure. 40. 10–12. 22 indexed citations
15.
Chu, Catherine J., et al.. (2013). The maturation of cortical sleep rhythms and networks over early development. Clinical Neurophysiology. 125(7). 1360–1370. 45 indexed citations
16.
Karakis, Ioannis, Naymee Velez‐Ruiz, Jay Pathmanathan, et al.. (2011). Foramen ovale electrodes in the evaluation of epilepsy surgery: Conventional and unconventional uses. Epilepsy & Behavior. 22(2). 247–254. 15 indexed citations
17.
Bianchi, Matt T., Jay Pathmanathan, & Sydney S. Cash. (2008). From ion channels to complex networks: Magic bullet versus magic shotgun approaches to anticonvulsant pharmacotherapy. Medical Hypotheses. 72(3). 297–305. 38 indexed citations
18.
Pathmanathan, Jay, Jason A. Cromer, Kathleen E. Cullen, & David M. Waitzman. (2005). Temporal characteristics of neurons in the central mesencephalic reticular formation of head unrestrained monkeys. Experimental Brain Research. 168(4). 471–492. 22 indexed citations
19.
Pathmanathan, Jay, et al.. (2005). Spatial characteristics of neurons in the central mesencephalic reticular formation (cMRF) of head-unrestrained monkeys. Experimental Brain Research. 168(4). 455–470. 31 indexed citations
20.
Waitzman, David M., et al.. (2002). Contribution of the Superior Colliculus and the Mesencephalic Reticular Formation to Gaze Control. Annals of the New York Academy of Sciences. 956(1). 111–129. 22 indexed citations

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.

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