Gregory C. DeAngelis
- Cognitive Neuroscience top 0.05%
- Cellular and Molecular Neuroscience top 0.5%
- Experimental and Cognitive Psychology top 0.5%
- Neurology top 0.2%
- Sensory Systems top 0.2%
- Co-authors
- Dora E. AngelakiIzumi OhzawaRalph D. FreemanYong GuChristopher R. FetschTakanori UkaWilliam T. NewsomeBruce G. Cumming
- Topics
- Visual perception and processing mechanisms (129 papers)Neural dynamics and brain function (66 papers)Vestibular and auditory disorders (42 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Gregory C. DeAngelis
132 papers receiving 11.5k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Cognitive Neuroscience 10.7k
- Cellular and Molecular Neuroscience 2.7k
- Experimental and Cognitive Psychology 2.1k
- Neurology 1.9k
- Sensory Systems 1.1k
Countries citing papers authored by Gregory C. DeAngelis
This map shows the geographic impact of Gregory C. DeAngelis'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 C. DeAngelis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory C. DeAngelis more than expected).
Fields of papers citing papers by Gregory C. DeAngelis
This network shows the impact of papers produced by Gregory C. DeAngelis. 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 C. DeAngelis. The network helps show where Gregory C. DeAngelis may publish in the future.
Co-authorship network of co-authors of Gregory C. DeAngelis
This figure shows the co-authorship network connecting the top 25 collaborators of Gregory C. DeAngelis. A scholar is included among the top collaborators of Gregory C. DeAngelis 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 Gregory C. DeAngelis. Gregory C. DeAngelis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 30 | |
| 4 | 8 | |
| 5 | 13 | |
| 6 | 39 | |
| 7 | 22 | |
| 8 | 29 | |
| 9 | 3 | |
| 10 | 62 | |
| 11 | 229 | |
| 12 | 95 | |
| 13 | 49 | |
| 14 | 248 | |
| 15 | 105 | |
| 16 | 6 | |
| 17 | 85 | |
| 18 | 62 | |
| 19 | 318 | |
| 20 | 13 |
About Gregory C. DeAngelis
Gregory C. DeAngelis is a scholar working on Cognitive Neuroscience, Neurology and Sensory Systems, having authored 139 papers that have together received 11.7k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (129 papers), Neural dynamics and brain function (66 papers) and Vestibular and auditory disorders (42 papers). The work is most often cited by research in Cognitive Neuroscience (10.7k citations), Sensory Systems (1.1k citations) and Neurology (1.9k citations). Gregory C. DeAngelis has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Dora E. Angelaki, Izumi Ohzawa, Ralph D. Freeman, Yong Gu, Christopher R. Fetsch, Takanori Uka, William T. Newsome, Bruce G. Cumming, Aihua Chen and Alexandre Pouget. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.