Joël Tabak

55 papers receiving 1.4k citations

Peers

Joël Tabak
Comparison fields: 5 of 107
  • Behavioral Neuroscience 126
  • Statistical and Nonlinear Physics 429
  • Cognitive Neuroscience 610
  • Cellular and Molecular Neuroscience 563
  • Endocrine and Autonomic Systems 155
Replace Attila Szücs with:
Attila Szücs Hungary
Luping Yin United States
N. A. Gorelova Canada
Thomas K. Berger Germany
Itay Hurwitz Israel
Joseph C. Callaway United States
Farzan Nadim United States
J. van Pelt Netherlands
Jorge Golowasch United States
Frances K. Skinner Canada
Joël Tabak relative to Attila Szücs Hungary Attila Szücs's profile →
Citations per field
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Citations per year

Countries citing papers authored by Joël Tabak

Since Specialization
Citations

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

Fields of papers citing papers by Joël Tabak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Joël Tabak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joël Tabak Line = papers co-authored together Joël Tabak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010171
2 2000148
3 200181
4 199968
5 201065
6 199856
7 201951
8 201149
9 201245
10 200644
11 201139
12 201539
13 200838
14 201336
15 201035
16 200535
17 201135
18 200630
19 201627
20 201625

About Joël Tabak

Joël Tabak is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Statistical and Nonlinear Physics and Social Psychology, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (27 papers), stochastic dynamics and bifurcation (17 papers), Neuroscience and Neuropharmacology Research (14 papers), Neuroendocrine regulation and behavior (11 papers), Ion channel regulation and function (7 papers), Stress Responses and Cortisol (7 papers), Neuroscience and Neural Engineering (6 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Behavioral Neuroscience (126 citations), Statistical and Nonlinear Physics (429 citations), Cognitive Neuroscience (610 citations), Cellular and Molecular Neuroscience (563 citations) and Endocrine and Autonomic Systems (155 citations). Joël Tabak has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Richard Bertram, Michael J. O’Donovan, John Rinzel, Stanko S. Stojilković, Walter Senn, Martin Wechselberger, Wondimu Teka, Theodore Vo, Arturo E. González-Iglesias and Marc E. Freeman. Their work appears in journals such as Journal of Computational Neuroscience, Journal of Neuroscience, The Journal of Physiology, Endocrinology and PLoS Computational Biology.

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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