Ryan Hays
Impact in
- Applied Psychology top 5%
- Digital Mental Health Interventions
- Neurology top 5%
- Autoimmune Neurological Disorders and Treatments
- Peripheral Neuropathies and Disorders
Papers in
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- Epilepsy research and treatment 12
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- EEG and Brain-Computer Interfaces 6
- Co-authors
- John Torous (9 shared papers)Kan Ding (15 shared papers)Jennifer R. Melcher (4 shared papers)Mark Agostini (11 shared papers)Divyanshu Dubey (3 shared papers)Steven Vernino (3 shared papers)Matthew Freeman (1 shared paper)Kevin Chen (1 shared paper)
- Journals
- Epilepsy & Behavior (5 papers)Journal of Clinical Neurophysiology (3 papers)Epilepsia (1 paper)Current Neurology and Neuroscience Reports (1 paper)Sleep Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Ryan Hays
33 papers receiving 609 citations
Peers
Comparison fields: 5 of 88
- Applied Psychology 141
- Neurology 196
- Psychiatry and Mental health 172
- Health Informatics 7
- Experimental and Cognitive Psychology 66
Countries citing papers authored by Ryan Hays
This map shows the geographic impact of Ryan Hays'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 Ryan Hays with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Hays more than expected).
Fields of papers citing papers by Ryan Hays
This network shows the impact of papers produced by Ryan Hays. 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 Ryan Hays. The network helps show where Ryan Hays may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Hays, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 157 | |
| 2 | 2020 | 81 | |
| 3 | 2020 | 75 | |
| 4 | 2015 | 44 | |
| 5 | 2010 | 38 | |
| 6 | 2021 | 33 | |
| 7 | 2019 | 27 | |
| 8 | 2019 | 21 | |
| 9 | 2016 | 13 | |
| 10 | 2016 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2022 | 11 | |
| 13 | 2016 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2015 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2021 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2021 | 5 |
About Ryan Hays
Ryan Hays is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Applied Psychology, Experimental and Cognitive Psychology and Neurology, having authored 36 papers that have together received 630 indexed citations. Recurring topics across this work include Epilepsy research and treatment (12 papers), Digital Mental Health Interventions (7 papers), EEG and Brain-Computer Interfaces (6 papers), Mental Health Research Topics (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Autoimmune Neurological Disorders and Treatments (3 papers), Chemical Analysis and Environmental Impact (2 papers) and Impact of Technology on Adolescents (2 papers). The work is most often cited by research in Applied Psychology (141 citations), Neurology (196 citations), Psychiatry and Mental health (172 citations), Health Informatics (7 citations) and Experimental and Cognitive Psychology (66 citations). Ryan Hays has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include John Torous, Kan Ding, Jennifer R. Melcher, Mark Agostini, Divyanshu Dubey, Steven Vernino, Matthew Freeman, Kevin Chen, Maromi Nei and Hannah Wisniewski. Their work appears in journals such as Epilepsy & Behavior, Journal of Clinical Neurophysiology, Epilepsia, Current Neurology and Neuroscience Reports and Sleep Medicine.
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.