Jonathan E. Rubin

8.5k citations
190 papers · 5.4k indexed · 1 hit paper · h-index 41

Jonathan E. Rubin

180 papers receiving 5.2k citations

Hit Papers

Activity Patterns in a Model for the Subthalamopallidal N...5122002202620102018100200300400500

Peers

Jonathan E. Rubin
Comparison fields: 5 of 164
  • Cognitive Neuroscience 2.5k
  • Cellular and Molecular Neuroscience 2.1k
  • Statistical and Nonlinear Physics 1.2k
  • Neurology 1.3k
  • Endocrine and Autonomic Systems 554
Replace Steven J. Schiff with:
Steven J. Schiff United States
José Jalife United States
David Terman United States
John Milton United States
Arthur Sherman United States
John R. Terry United Kingdom
James Sneyd New Zealand
G. Bard Ermentrout United States
Mark Holmes United States
John W. Clark United States
Jonathan E. Rubin relative to Steven J. Schiff United States Steven J. Schiff's profile →
Citations per field
00.5×3.9×
Steven J. Schiff · 1×
Citations per year

Countries citing papers authored by Jonathan E. Rubin

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan E. Rubin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jonathan E. Rubin, 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 Jonathan E. Rubin Line = papers co-authored together Jonathan E. Rubin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20244
4 20231
5 20232
6 20235
7 20231
8 20225
9 202011
10 202030
11 20202
12 201922
13 201810
14 201642
15 201651
16 201635
17 201381
18 201115
19 201046
20 2005117

About Jonathan E. Rubin

Jonathan E. Rubin is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience, having authored 190 papers that have together received 5.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (77 papers), stochastic dynamics and bifurcation (44 papers), Nonlinear Dynamics and Pattern Formation (34 papers), Neuroscience and Neuropharmacology Research (24 papers), Neurological disorders and treatments (22 papers), Neuroscience and Neural Engineering (20 papers), Neuroscience of respiration and sleep (19 papers) and Photoreceptor and optogenetics research (17 papers). The work is most often cited by research in Cognitive Neuroscience (2.5k citations), Cellular and Molecular Neuroscience (2.1k citations) and Statistical and Nonlinear Physics (1.2k citations). Jonathan E. Rubin has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include David Terman, Charles J. Wilson, Alice C. Yew, Gilles Clermont, Martin Wechselberger, Yoram Vodovotz, Ilya A. Rybak, Brent Doiron, Judy Day and Robert Rosenbaum. Their work appears in journals such as SIAM Journal on Applied Dynamical Systems, Journal of Computational Neuroscience, Journal of Neurophysiology, Journal of Critical Care 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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