Gregory D. Snyder
Impact in
- Cognitive Neuroscience top 10%
- Visual perception and processing mechanisms
- Pain Management and Placebo Effect
- Social Psychology top 10%
- Color perception and design
Papers in
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- Electronic Health Records Systems 1
-
- Visual perception and processing mechanisms 2
- Pain Management and Placebo Effect 1
- Co-authors
- David H. AlmanRoy S. BernsLisa ReniffMichael LeeGuido BieleIrene TraceySiri LeknesChantal Berna
- Journals
- Color Research & Application (2 papers)Pain (1 paper)Journal of Medical Genetics (1 paper)RIT Scholar Works (Rochester Institute of Technology) (1 paper)NEJM Catalyst (1 paper)
- Partner nations
- United StatesUnited KingdomNorway
In The Last Decade
Gregory D. Snyder
6 papers receiving 355 citations
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 180
- Social Psychology 163
- Atomic and Molecular Physics, and Optics 190
- Computer Vision and Pattern Recognition 57
- Physiology 59
Countries citing papers authored by Gregory D. Snyder
This map shows the geographic impact of Gregory D. Snyder'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 Gregory D. Snyder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory D. Snyder more than expected).
Fields of papers citing papers by Gregory D. Snyder
This network shows the impact of papers produced by Gregory D. Snyder. 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 Gregory D. Snyder. The network helps show where Gregory D. Snyder may publish in the future.
Co-authors
The 16 scholars most cited alongside Gregory D. Snyder, 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 | 2022 | 16 | |
| 2 | 2018 | 30 | |
| 3 | 2012 | 126 | |
| 4 | Visual determination of industrial color-difference tolerances using probit analysis | 1991 | 5 |
| 5 | 1991 | 146 | |
| 6 | 1989 | 61 |
About Gregory D. Snyder
Gregory D. Snyder is a scholar working on Health Information Management, Cognitive Neuroscience, Social Psychology, Speech and Hearing and Emergency Medical Services, having authored 6 papers that have together received 384 indexed citations. Recurring topics across this work include Color perception and design (3 papers), Color Science and Applications (3 papers), Visual perception and processing mechanisms (2 papers), Adolescent and Pediatric Healthcare (1 paper), Pain Management and Placebo Effect (1 paper), Pain Mechanisms and Treatments (1 paper), Immune Cell Function and Interaction (1 paper) and Electronic Health Records Systems (1 paper). The work is most often cited by research in Cognitive Neuroscience (180 citations), Social Psychology (163 citations), Atomic and Molecular Physics, and Optics (190 citations), Computer Vision and Pattern Recognition (57 citations) and Physiology (59 citations). Gregory D. Snyder has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include David H. Alman, Roy S. Berns, Lisa Reniff, Michael Lee, Guido Biele, Irene Tracey, Siri Leknes, Chantal Berna, Wayne A. Larsen and Sara M. Tolaney. Their work appears in journals such as Color Research & Application, Pain, Journal of Medical Genetics, RIT Scholar Works (Rochester Institute of Technology) and NEJM Catalyst.
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.