Hyatt Moore
Impact in
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- Sleep and related disorders
- Cognitive Neuroscience top 5%
- Sleep and Wakefulness Research
Papers in ⓘ
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- Sleep and Wakefulness Research 11
- EEG and Brain-Computer Interfaces 2
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- Neuroscience of respiration and sleep 1
- Co-authors
- Paul E. Peppard (6 shared papers)Emmanuel Mignot (6 shared papers)Xiaoping Yun (1 shared paper)E.R. Bachmann (1 shared paper)James Calusdian (1 shared paper)Laurel Finn (3 shared papers)Olivier Andlauer (3 shared papers)Fang Han (2 shared papers)
- Journals
- SLEEP (4 papers)PLoS ONE (2 papers)Sleep Medicine (1 paper)Nature Medicine (1 paper)Clinical Neurophysiology (1 paper)
- Partner nations
- United StatesDenmarkFrance
In The Last Decade
Hyatt Moore
14 papers receiving 601 citations
Peers
Comparison fields: 5 of 68
- Experimental and Cognitive Psychology 298
- Cognitive Neuroscience 401
- Endocrine and Autonomic Systems 139
- Neurology 97
- Epidemiology 177
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
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 154 | |
| 2 | 2007 | 140 | |
| 3 | 2013 | 124 | |
| 4 | 2014 | 92 | |
| 5 | 2014 | 33 | |
| 6 | 2018 | 33 | |
| 7 | 2015 | 16 | |
| 8 | 2018 | 6 | |
| 9 | 2014 | 6 | |
| 10 | 2019 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2018 | 2 | |
| 13 | 2014 | 2 | |
| 14 | 2013 | 2 | |
| 15 | 2026 | 0 | |
| 16 | 2023 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 2022 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2018 | 0 |
About Hyatt Moore
Hyatt Moore is a scholar working on Cognitive Neuroscience, Endocrine and Autonomic Systems, Experimental and Cognitive Psychology, Neurology and Occupational Therapy, having authored 20 papers that have together received 616 indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (11 papers), Restless Legs Syndrome Research (6 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Sleep and related disorders (5 papers), EEG and Brain-Computer Interfaces (2 papers), Physical Activity and Health (2 papers), Obstructive Sleep Apnea Research (2 papers) and Neuroscience of respiration and sleep (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (298 citations), Cognitive Neuroscience (401 citations), Endocrine and Autonomic Systems (139 citations), Neurology (97 citations) and Epidemiology (177 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, E.R. Bachmann, James Calusdian, Laurel Finn, Olivier Andlauer, Fang Han, Giuseppe Plazzi and Francesca Poli. Their work appears in journals such as SLEEP, PLoS ONE, Sleep Medicine, Nature Medicine and Clinical Neurophysiology.
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.