Adam Kohn
- Cognitive Neuroscience top 0.2%
- Neural dynamics and brain function 65
- Visual perception and processing mechanisms 49
- EEG and Brain-Computer Interfaces 5
- Functional Brain Connectivity Studies 5
- Neural and Behavioral Psychology Studies 5
- Cellular and Molecular Neuroscience top 0.5%
- Neurobiology and Insect Physiology Research 14
- Neuroscience and Neural Engineering 13
- Neuroscience and Neuropharmacology Research 9
- Sensory Systems top 1%
- Co-authors
- Matthew A. SmithJ. Anthony MovshonMarlene R. CohenXiaoxuan JiaAmin ZandvakiliRuben Coen-CagliStephanie WissigSamuel G. Solomon
- Journals
- Journal of Neuroscience (13 papers)Journal of Vision (8 papers)Nature Neuroscience (7 papers)
- Partner nations
- United StatesUnited KingdomPortugal
In The Last Decade
Adam Kohn
68 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Cognitive Neuroscience 6.0k
- Cellular and Molecular Neuroscience 2.7k
- Sensory Systems 278
- Statistical and Nonlinear Physics 408
- Experimental and Cognitive Psychology 356
Countries citing papers authored by Adam Kohn
This map shows the geographic impact of Adam Kohn'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 Adam Kohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Kohn more than expected).
Fields of papers citing papers by Adam Kohn
This network shows the impact of papers produced by Adam Kohn. 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 Adam Kohn. The network helps show where Adam Kohn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Adam Kohn, 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 | 2025 | 0 | |
| 2 | 2022 | 14 | |
| 3 | 2021 | 39 | |
| 4 | 2019 | 15 | |
| 5 | 2019 | 196 | |
| 6 | 2015 | 53 | |
| 7 | 2015 | 108 | |
| 8 | 2014 | 40 | |
| 9 | Extracting Latent Structure From Multiple Interacting Neural Populations | 2014 | 18 |
| 10 | 2013 | 0 | |
| 11 | 2013 | 28 | |
| 12 | 2013 | 121 | |
| 13 | 2011 | 58 | |
| 14 | 2011 | 181 | |
| 15 | 2011 | 120 | |
| 16 | 2009 | 69 | |
| 17 | 2008 | 408 | |
| 18 | 2004 | 13 | |
| 19 | The Wild West Down Under: Comparing American and Australian Expressions of Gun Enthusiasm | 2004 | 10 |
| 20 | 2002 | 39 |
About Adam Kohn
Adam Kohn is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biophysics, having authored 74 papers that have together received 6.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (65 papers), Visual perception and processing mechanisms (49 papers), Neurobiology and Insect Physiology Research (14 papers), Neuroscience and Neural Engineering (13 papers), Neuroscience and Neuropharmacology Research (9 papers), EEG and Brain-Computer Interfaces (5 papers), Functional Brain Connectivity Studies (5 papers) and Neural and Behavioral Psychology Studies (5 papers). The work is most often cited by research in Cognitive Neuroscience (6.0k citations), Cellular and Molecular Neuroscience (2.7k citations) and Sensory Systems (278 citations). Adam Kohn has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent co-authors include Matthew A. Smith, J. Anthony Movshon, Marlene R. Cohen, Xiaoxuan Jia, Amin Zandvakili, Ruben Coen-Cagli, Stephanie Wissig, Samuel G. Solomon, Byron M. Yu and Odelia Schwartz. Their work appears in journals such as Journal of Neuroscience, Journal of Vision, Nature Neuroscience, Neuron and Journal of 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.