John Berkowitz

2.1k total citations · 1 hit paper
3 papers, 1.4k citations indexed

About

John Berkowitz is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, John Berkowitz has authored 3 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cognitive Neuroscience, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in John Berkowitz's work include Neural dynamics and brain function (2 papers), Neuroscience and Neural Engineering (1 paper) and stochastic dynamics and bifurcation (1 paper). John Berkowitz is often cited by papers focused on Neural dynamics and brain function (2 papers), Neuroscience and Neural Engineering (1 paper) and stochastic dynamics and bifurcation (1 paper). John Berkowitz collaborates with scholars based in United States. John Berkowitz's co-authors include Zachary C. Lipton, Charles Elkan and Tatyana O. Sharpee and has published in prestigious journals such as Neural Computation, Current Opinion in Behavioral Sciences and arXiv (Cornell University).

In The Last Decade

John Berkowitz

3 papers receiving 1.3k citations

Hit Papers

A Critical Review of Recurrent Neural Networks for Sequen... 2015 2026 2018 2022 2015 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Berkowitz United States 3 519 254 238 185 128 3 1.4k
Birmohan Singh India 17 591 1.1× 300 1.2× 161 0.7× 146 0.8× 99 0.8× 62 1.9k
Yifan Shi China 12 771 1.5× 393 1.5× 171 0.7× 136 0.7× 126 1.0× 37 1.8k
Qun Dai China 20 676 1.3× 218 0.9× 220 0.9× 158 0.9× 108 0.8× 80 1.2k
Ke-Lin Du Canada 18 557 1.1× 205 0.8× 411 1.7× 186 1.0× 227 1.8× 53 1.9k
Shun Chen China 9 452 0.9× 155 0.6× 203 0.9× 325 1.8× 120 0.9× 14 1.2k
Martin Längkvist Sweden 9 379 0.7× 234 0.9× 203 0.9× 295 1.6× 89 0.7× 26 1.5k
Habiboulaye Amadou Boubacar France 3 798 1.5× 477 1.9× 162 0.7× 159 0.9× 133 1.0× 6 1.8k
S. Maouche France 11 658 1.3× 392 1.5× 183 0.8× 149 0.8× 166 1.3× 40 1.5k
Akshansh Gupta India 10 435 0.8× 252 1.0× 187 0.8× 153 0.8× 76 0.6× 18 1.4k

Countries citing papers authored by John Berkowitz

Since Specialization
Citations

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

Fields of papers citing papers by John Berkowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Berkowitz

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

All Works

3 of 3 papers shown
1.
Sharpee, Tatyana O. & John Berkowitz. (2019). Linking neural responses to behavior with information-preserving population vectors. Current Opinion in Behavioral Sciences. 29. 37–44. 8 indexed citations
2.
Berkowitz, John & Tatyana O. Sharpee. (2019). Quantifying Information Conveyed by Large Neuronal Populations. Neural Computation. 31(6). 1015–1047. 2 indexed citations
3.
Lipton, Zachary C., John Berkowitz, & Charles Elkan. (2015). A Critical Review of Recurrent Neural Networks for Sequence Learning. arXiv (Cornell University). 1373 indexed citations breakdown →

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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