Hyatt Moore
Impact in
- Cognitive Neuroscience top 5%
- Sleep and Wakefulness Research
- EEG and Brain-Computer Interfaces
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- Sleep and related disorders
Papers in
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- Sleep and Wakefulness Research 8
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- Sleep and related disorders 3
- Co-authors
- Paul E. Peppard (5 shared papers)Emmanuel Mignot (6 shared papers)Xiaoping Yun (1 shared paper)James Calusdian (1 shared paper)E.R. Bachmann (1 shared paper)Laurel Ann Finn (3 shared papers)Olivier Andlauer (3 shared papers)Giuseppe Plazzi (2 shared papers)
- Journals
- SLEEP (2 papers)PLoS ONE (2 papers)Sleep Medicine (2 papers)Physiological Measurement (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesDenmarkFrance
In The Last Decade
Hyatt Moore
18 papers receiving 962 citations
Peers
Comparison fields: 5 of 76
- Cognitive Neuroscience 585
- Experimental and Cognitive Psychology 315
- Endocrine and Autonomic Systems 143
- Epidemiology 188
- Physiology 141
Countries citing papers authored by Hyatt Moore
This map shows the geographic impact of Hyatt Moore'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 Hyatt Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyatt Moore more than expected).
Fields of papers citing papers by Hyatt Moore
This network shows the impact of papers produced by Hyatt Moore. 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 Hyatt Moore. The network helps show where Hyatt Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Hyatt Moore, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 285 | |
| 2 | 2012 | 181 | |
| 3 | 2007 | 150 | |
| 4 | 2013 | 142 | |
| 5 | 2014 | 104 | |
| 6 | 2018 | 40 | |
| 7 | 2014 | 39 | |
| 8 | 2015 | 21 | |
| 9 | 2014 | 7 | |
| 10 | 2026 | 6 | |
| 11 | 2018 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2019 | 3 | |
| 14 | 2018 | 2 | |
| 15 | 2014 | 2 | |
| 16 | 2015 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2013 | 1 | |
| 19 | 2023 | 0 | |
| 20 | 2023 | 0 |
About Hyatt Moore
Hyatt Moore is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Epidemiology, Physiology and Endocrine and Autonomic Systems, having authored 21 papers that have together received 995 indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (8 papers), Restless Legs Syndrome Research (7 papers), Sleep and related disorders (3 papers), Obstructive Sleep Apnea Research (2 papers), Physical Activity and Health (2 papers), Context-Aware Activity Recognition Systems (1 paper), Artificial Intelligence in Healthcare (1 paper) and Control and Dynamics of Mobile Robots (1 paper). The work is most often cited by research in Cognitive Neuroscience (585 citations), Experimental and Cognitive Psychology (315 citations), Endocrine and Autonomic Systems (143 citations), Epidemiology (188 citations) and Physiology (141 citations). Hyatt Moore has collaborated with scholars based in United States, Denmark and France. Frequent co-authors include Paul E. Peppard, Emmanuel Mignot, Xiaoping Yun, James Calusdian, E.R. Bachmann, Laurel Ann Finn, Olivier Andlauer, Giuseppe Plazzi, Francesca Poli and Ling Lin. Their work appears in journals such as SLEEP, PLoS ONE, Sleep Medicine, Physiological Measurement and Nature 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.