David Terman

110 papers receiving 5.2k citations

David Terman's Hit Papers

Mathematical Foundations of Neuroscience 2010 · 883 citations
8830+8+16Years since publication250500750

Peers

David Terman
Comparison fields: 5 of 138
  • Statistical and Nonlinear Physics 1.9k
  • Cognitive Neuroscience 2.8k
  • Cellular and Molecular Neuroscience 1.9k
  • Computer Networks and Communications 1.7k
  • Neurology 955
Replace Jonathan E. Rubin with:
Jonathan E. Rubin United States
André Longtin Canada
Jack D. Cowan United States
Nancy Kopell United States
L. F. Abbott United States
Albert Compte Spain
John Rinzel United States
Liam Paninski United States
Eugene M. Izhikevich United States
Richard Fitzhugh United States
David Terman relative to Jonathan E. Rubin United States Jonathan E. Rubin's profile →
Citations per field
00.5×1.5×1.9×
Jonathan E. Rubin · 1×
Citations per year

Countries citing papers authored by David Terman

Since Specialization
Citations

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

Fields of papers citing papers by David Terman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mathematical Foundations of Neuroscience
Hit paper breakdown →
2010883
2
Activity Patterns in a Model for the Subthalamopallidal Network of the Basal Ganglia
Hit paper breakdown →
2002551
3 2004456
4 1995281
5 1997245
6 1995197
7 1986174
8 1991172
9 1982155
10 1992150
11 1998139
12 2008122
13 1998117
14 2015112
15 200987
16 200276
17 200574
18 200066
19 199659
20 200451

About David Terman

David Terman is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Computer Networks and Communications, Cellular and Molecular Neuroscience and Molecular Biology, having authored 115 papers that have together received 5.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (50 papers), Nonlinear Dynamics and Pattern Formation (39 papers), stochastic dynamics and bifurcation (34 papers), Neuroscience and Neuropharmacology Research (25 papers), Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), Photoreceptor and optogenetics research (9 papers), Neurological disorders and treatments (8 papers) and Neuroscience and Neural Engineering (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.9k citations), Cognitive Neuroscience (2.8k citations), Cellular and Molecular Neuroscience (1.9k citations), Computer Networks and Communications (1.7k citations) and Neurology (955 citations). David Terman has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Jonathan E. Rubin, Bard Ermentrout, DeLiang Wang, Charles J. Wilson, Alice C. Yew, John Rinzel, L. A. Peletier, Amitabha Bose, Nancy Kopell and Haïm Brézis. Their work appears in journals such as Transactions of the American Mathematical Society, Journal of Computational Neuroscience, SIAM Journal on Applied Dynamical Systems, Physica D Nonlinear Phenomena and SIAM Journal on Applied Mathematics.

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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