Gregory B. Cogan
Impact in
- Cognitive Neuroscience top 5%
- Neuroscience and Music Perception
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neurobiology of Language and Bilingualism
- Hearing Loss and Rehabilitation
- Functional Brain Connectivity Studies
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- Multisensory perception and integration
Papers in
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- EEG and Brain-Computer Interfaces 4
- Neural dynamics and brain function 3
- Neuroscience and Music Perception 3
- Hearing Loss and Rehabilitation 2
- Face Recognition and Perception 1
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- Blind Source Separation Techniques 2
- Co-authors
- David Poeppel (4 shared papers)Elana Zion Golumbic (1 shared paper)Bijan Pesaran (3 shared papers)Werner Doyle (2 shared papers)Thomas Thesen (2 shared papers)Orrin Devinsky (2 shared papers)Chad Carlson (1 shared paper)Xiangbin Teng (1 shared paper)
- Journals
- Nature Communications (1 paper)Nature (1 paper)NeuroImage (1 paper)Nature Neuroscience (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Gregory B. Cogan
8 papers receiving 527 citations
Peers
Comparison fields: 5 of 43
- Cognitive Neuroscience 415
- Experimental and Cognitive Psychology 194
- Sensory Systems 35
- Signal Processing 76
- Developmental and Educational Psychology 58
Countries citing papers authored by Gregory B. Cogan
This map shows the geographic impact of Gregory B. Cogan'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 B. Cogan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory B. Cogan more than expected).
Fields of papers citing papers by Gregory B. Cogan
This network shows the impact of papers produced by Gregory B. Cogan. 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 B. Cogan. The network helps show where Gregory B. Cogan may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory B. Cogan, 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 | 2014 | 200 | |
| 2 | 2013 | 184 | |
| 3 | 2011 | 55 | |
| 4 | 2023 | 37 | |
| 5 | 2016 | 25 | |
| 6 | 2019 | 23 | |
| 7 | 2020 | 10 | |
| 8 | 2015 | 1 |
About Gregory B. Cogan
Gregory B. Cogan is a scholar working on Cognitive Neuroscience, Signal Processing, Experimental and Cognitive Psychology, Cellular and Molecular Neuroscience and Social Psychology, having authored 8 papers that have together received 535 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (4 papers), Neural dynamics and brain function (3 papers), Neuroscience and Music Perception (3 papers), Blind Source Separation Techniques (2 papers), Hearing Loss and Rehabilitation (2 papers), Neuroscience and Neural Engineering (1 paper), Face Recognition and Perception (1 paper) and Multisensory perception and integration (1 paper). The work is most often cited by research in Cognitive Neuroscience (415 citations), Experimental and Cognitive Psychology (194 citations), Sensory Systems (35 citations), Signal Processing (76 citations) and Developmental and Educational Psychology (58 citations). Gregory B. Cogan has collaborated with scholars based in United States and Germany. Frequent co-authors include David Poeppel, Elana Zion Golumbic, Bijan Pesaran, Werner Doyle, Thomas Thesen, Orrin Devinsky, Chad Carlson, Xiangbin Teng, Chia‐Han Chiang and Jonathan Viventi. Their work appears in journals such as Nature Communications, Nature, NeuroImage, Nature Neuroscience and Journal of Neuroscience.
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.