Adam Kohn

11.6k total citations · 2 hit papers
74 papers, 6.5k citations indexed

About

Adam Kohn is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Adam Kohn has authored 74 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Cognitive Neuroscience, 36 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Adam Kohn's work include Neural dynamics and brain function (65 papers), Visual perception and processing mechanisms (49 papers) and Neurobiology and Insect Physiology Research (14 papers). Adam Kohn is often cited by papers focused on Neural dynamics and brain function (65 papers), Visual perception and processing mechanisms (49 papers) and Neurobiology and Insect Physiology Research (14 papers). Adam Kohn collaborates with scholars based in United States, United Kingdom and Portugal. Adam Kohn's 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 and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Adam Kohn

68 papers receiving 6.4k citations

Hit Papers

Measuring and interpreting neuronal correlations 2007 2026 2013 2019 2011 2007 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Adam Kohn United States 39 6.0k 2.7k 408 408 398 74 6.5k
Emilio Salinas United States 34 5.3k 0.9× 1.9k 0.7× 460 1.1× 430 1.1× 273 0.7× 68 5.7k
Jonathan W. Pillow United States 34 4.7k 0.8× 2.0k 0.7× 500 1.2× 590 1.4× 564 1.4× 111 5.6k
Amos Arieli Israel 28 5.9k 1.0× 2.6k 0.9× 314 0.8× 344 0.8× 305 0.8× 52 6.5k
Carlos D. Brody United States 39 5.5k 0.9× 2.0k 0.7× 313 0.8× 527 1.3× 395 1.0× 73 6.2k
Andreas S. Tolias United States 42 6.0k 1.0× 3.2k 1.2× 270 0.7× 633 1.6× 1.2k 3.1× 93 8.2k
Christos Constantinidis United States 37 5.1k 0.8× 1.5k 0.6× 121 0.3× 322 0.8× 411 1.0× 107 6.0k
Alexander Thiele United Kingdom 39 4.7k 0.8× 2.1k 0.8× 187 0.5× 185 0.5× 747 1.9× 121 5.5k
W. Martin Usrey United States 30 4.8k 0.8× 2.5k 0.9× 164 0.4× 275 0.7× 925 2.3× 60 5.4k
José‐Manuel Alonso United States 35 4.4k 0.7× 2.7k 1.0× 225 0.6× 418 1.0× 773 1.9× 86 4.9k
Zoltán Nádasdy United States 22 5.0k 0.8× 4.0k 1.5× 169 0.4× 497 1.2× 501 1.3× 42 6.5k

Countries citing papers authored by Adam Kohn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Adam Kohn

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Kohn. A scholar is included among the top collaborators of Adam Kohn 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 Adam Kohn. Adam Kohn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kohn, Adam, et al.. (2025). Relating natural image statistics to patterns of response covariability in macaque primary visual cortex. Nature Communications. 16(1). 6757–6757.
2.
Kohn, Adam, et al.. (2025). Fast Multigroup Gaussian Process Factor Models. Neural Computation. 37(9). 1709–1782.
3.
Semedo, João D., et al.. (2022). Disentangling the flow of signals between populations of neurons. Nature Computational Science. 2(8). 512–525. 14 indexed citations
4.
Aschner, Amir, et al.. (2021). Neuronal variability reflects probabilistic inference tuned to natural image statistics. Nature Communications. 12(1). 3635–3635. 39 indexed citations
5.
Bonnen, Kathryn, et al.. (2019). Binocular viewing geometry shapes the neural representation of the dynamic three-dimensional environment. Nature Neuroscience. 23(1). 113–121. 15 indexed citations
6.
Aschner, Amir, Samuel G. Solomon, Michael S. Landy, David J. Heeger, & Adam Kohn. (2018). Temporal Contingencies Determine Whether Adaptation Strengthens or Weakens Normalization. Journal of Neuroscience. 38(47). 10129–10142. 12 indexed citations
7.
Cowley, Benjamin R., João D. Semedo, Amin Zandvakili, et al.. (2017). Distance covariance analysis. 242–251. 6 indexed citations
8.
Cowley, Benjamin R., Matthew A. Smith, Adam Kohn, & Byron M. Yu. (2016). Stimulus-Driven Population Activity Patterns in Macaque Primary Visual Cortex. PLoS Computational Biology. 12(12). e1005185–e1005185. 29 indexed citations
9.
Larsson, Jonas, Samuel G. Solomon, & Adam Kohn. (2015). fMRI adaptation revisited. Cortex. 80. 154–160. 53 indexed citations
10.
Zandvakili, Amin & Adam Kohn. (2015). Coordinated Neuronal Activity Enhances Corticocortical Communication. Neuron. 87(4). 827–839. 84 indexed citations
11.
Snyder, A. C., Michael J. Morais, Adam Kohn, & Matthew A. Smith. (2014). Correlations in V1 Are Reduced by Stimulation Outside the Receptive Field. Journal of Neuroscience. 34(34). 11222–11227. 40 indexed citations
12.
Semedo, João D., Amin Zandvakili, Adam Kohn, Christian K. Machens, & Byron M. Yu. (2014). Extracting Latent Structure From Multiple Interacting Neural Populations. Neural Information Processing Systems. 27. 2942–2950. 18 indexed citations
13.
Cormack, Lawrence K., et al.. (2013). Neuronal selectivity for directions of 3D motion in area MT. Journal of Vision. 13(9). 608–608.
14.
Shriki, Oren, Adam Kohn, & Maoz Shamir. (2012). Fast Coding of Orientation in Primary Visual Cortex. PLoS Computational Biology. 8(6). e1002536–e1002536. 23 indexed citations
15.
Alviña, Karina, et al.. (2008). Questioning the role of rebound firing in the cerebellum. Nature Neuroscience. 11(11). 1256–1258. 90 indexed citations
16.
Kohn, Adam. (2007). Visual Adaptation: Physiology, Mechanisms, and Functional Benefits. Journal of Neurophysiology. 97(5). 3155–3164. 594 indexed citations breakdown →
17.
Kelly, Ryan C., Matthew A. Smith, Jason M. Samonds, et al.. (2007). Comparison of Recordings from Microelectrode Arrays and Single Electrodes in the Visual Cortex. Journal of Neuroscience. 27(2). 261–264. 157 indexed citations
18.
Kohn, Adam. (2004). The Wild West Down Under: Comparing American and Australian Expressions of Gun Enthusiasm. 16(1). 10 indexed citations
19.
Movshon, J. Anthony, Nicole C. Rust, Adam Kohn, Lynne Kiorpes, & Michael J. Hawken. (2004). Receptive field properties of MT neurons in infant macaques. Journal of Human Evolution. 35(3). 321–325. 13 indexed citations
20.
Kohn, Adam & J. Anthony Movshon. (2004). Adaptation changes the direction tuning of macaque MT neurons. Nature Neuroscience. 7(7). 764–772. 257 indexed citations

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.

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