Jonathan Kadmon

1.3k total citations · 1 hit paper
10 papers, 689 citations indexed

About

Jonathan Kadmon is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Jonathan Kadmon has authored 10 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Artificial Intelligence. Recurrent topics in Jonathan Kadmon's work include Neural dynamics and brain function (4 papers), Vestibular and auditory disorders (3 papers) and Neuroscience and Neural Engineering (2 papers). Jonathan Kadmon is often cited by papers focused on Neural dynamics and brain function (4 papers), Vestibular and auditory disorders (3 papers) and Neuroscience and Neural Engineering (2 papers). Jonathan Kadmon collaborates with scholars based in United States, Israel and France. Jonathan Kadmon's co-authors include Surya Ganguli, Brandon Benson, James H. Marshel, Hideaki Kato, Charu Ramakrishnan, Timothy A. Machado, Masatoshi Inoue, Karl Deisseroth, Douglas J. McKnight and Janelle Shane and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

Jonathan Kadmon

9 papers receiving 674 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cortical layer–specific critical dynamics triggering perception

2019 364 citations James H. Marshel, Timothy A. Machado et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Kadmon United States	6	351	334	125	92	74	10	689
Robert A. McDougal United States	14	367 1.0×	276 0.8×	161 1.3×	38 0.4×	45 0.6×	40	702
Pierre Yger France	16	650 1.9×	470 1.4×	92 0.7×	68 0.7×	39 0.5×	39	1.1k
Baktash Babadi United States	11	488 1.4×	356 1.1×	51 0.4×	64 0.7×	34 0.5×	16	687
Klaus M. Stiefel United States	14	490 1.4×	466 1.4×	177 1.4×	67 0.7×	57 0.8×	40	852
Marja‐Leena Linne Finland	16	283 0.8×	361 1.1×	297 2.4×	33 0.4×	127 1.7×	63	789
Sharon Crook United States	16	609 1.7×	295 0.9×	252 2.0×	76 0.8×	47 0.6×	57	1.0k
Christophe Pouzat France	15	676 1.9×	776 2.3×	286 2.3×	67 0.7×	80 1.1×	33	1.2k
Ann M. Hermundstad United States	11	710 2.0×	394 1.2×	72 0.6×	69 0.8×	22 0.3×	23	1.2k
Timothy A. Zolnik Germany	11	348 1.0×	325 1.0×	144 1.2×	71 0.8×	38 0.5×	12	641
Sarah F. Muldoon United States	13	703 2.0×	272 0.8×	124 1.0×	64 0.7×	41 0.6×	40	1.1k

Countries citing papers authored by Jonathan Kadmon

Since Specialization

Citations

This map shows the geographic impact of Jonathan Kadmon'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 Jonathan Kadmon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Kadmon more than expected).

Fields of papers citing papers by Jonathan Kadmon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Kadmon. 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 Jonathan Kadmon. The network helps show where Jonathan Kadmon may publish in the future.

Co-authorship network of co-authors of Jonathan Kadmon

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

All Works

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10 of 10 papers shown

1.

Harel, Ran, et al.. (2025). Cerebellar output shapes cortical preparatory activity during motor adaptation. Nature Communications. 16(1). 2574–2574.

2.

Kadmon, Jonathan, et al.. (2022). Optimal noise level for coding with tightly balanced networks of spiking neurons in the presence of transmission delays. PLoS Computational Biology. 18(10). e1010593–e1010593. 11 indexed citations

3.

Marshel, James H., Timothy A. Machado, Sean Quirin, et al.. (2019). Cortical layer–specific critical dynamics triggering perception. Science. 365(6453). 364 indexed citations breakdown →

4.

Bahri, Yasaman, et al.. (2019). Statistical Mechanics of Deep Learning. Annual Review of Condensed Matter Physics. 11(1). 501–528. 127 indexed citations

5.

Wagner, Mark J., Tony Hyun Kim, Jonathan Kadmon, et al.. (2019). Shared Cortex-Cerebellum Dynamics in the Execution and Learning of a Motor Task. Cell. 177(3). 669–682.e24. 128 indexed citations

6.

Kadmon, Jonathan & Surya Ganguli. (2019). Statistical mechanics of low-rank tensor decomposition*. Journal of Statistical Mechanics Theory and Experiment. 2019(12). 124016–124016. 4 indexed citations

7.

Wagner, Mark J., Tony Hyun Kim, Jonathan Kadmon, et al.. (2018). Shared Cortex-Cerebellum Dynamics in the Execution and Learning of a Motor Task. SSRN Electronic Journal. 2 indexed citations

8.

Kadmon, Jonathan & Haim Sompolinsky. (2016). Optimal Architectures in a Solvable Model of Deep Networks. Neural Information Processing Systems. 29. 4781–4789. 12 indexed citations

9.

Kadmon, Jonathan, Jacob S. Ishay, & David J. Bergman. (2009). Properties of ultrasonic acoustic resonances for exploitation in comb construction by social hornets and honeybees. Physical Review E. 79(6). 61909–61909. 3 indexed citations

10.

Tsfadia, Yossi, et al.. (2007). Molecular dynamics simulations of palmitate entry into the hydrophobic pocket of the fatty acid binding protein. FEBS Letters. 581(6). 1243–1247. 38 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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