David Terman

7.4k total citations · 2 hit papers
96 papers, 4.9k citations indexed

About

David Terman is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, David Terman has authored 96 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cognitive Neuroscience, 37 papers in Statistical and Nonlinear Physics and 31 papers in Computer Networks and Communications. Recurrent topics in David Terman's work include Neural dynamics and brain function (39 papers), Nonlinear Dynamics and Pattern Formation (31 papers) and stochastic dynamics and bifurcation (28 papers). David Terman is often cited by papers focused on Neural dynamics and brain function (39 papers), Nonlinear Dynamics and Pattern Formation (31 papers) and stochastic dynamics and bifurcation (28 papers). David Terman collaborates with scholars based in United States, Netherlands and France. David Terman's 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 Haı̈m Brezis and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

David Terman

94 papers receiving 4.6k citations

Hit Papers

Mathematical Foundations of Neuroscience 2002 2026 2010 2018 2010 2002 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Terman United States 31 2.5k 1.7k 1.7k 1.5k 893 96 4.9k
Jonathan E. Rubin United States 41 2.5k 1.0× 2.1k 1.2× 1.2k 0.7× 821 0.5× 1.3k 1.4× 190 5.4k
Jack D. Cowan United States 31 4.3k 1.7× 1.4k 0.8× 2.0k 1.2× 1.4k 0.9× 90 0.1× 81 6.5k
Klaus Lehnertz Germany 56 12.2k 4.9× 2.8k 1.6× 1.9k 1.1× 1.4k 0.9× 429 0.5× 213 15.1k
Florian Mormann Germany 46 8.5k 3.4× 2.3k 1.3× 824 0.5× 766 0.5× 347 0.4× 97 10.4k
Nancy Kopell United States 74 12.6k 5.0× 7.8k 4.5× 3.4k 2.0× 3.4k 2.2× 769 0.9× 164 17.4k
G. Bard Ermentrout United States 32 2.9k 1.2× 1.1k 0.6× 2.0k 1.2× 1.9k 1.3× 50 0.1× 82 4.9k
Tom T. Hartley United States 42 3.7k 1.5× 1.1k 0.6× 1.6k 1.0× 801 0.5× 36 0.0× 190 8.7k
Ralph G. Andrzejak Spain 31 5.4k 2.2× 1.0k 0.6× 846 0.5× 707 0.5× 134 0.2× 70 6.7k
L. F. Abbott United States 50 5.5k 2.2× 4.1k 2.4× 2.3k 1.3× 791 0.5× 125 0.1× 121 12.5k
Jonathan D. Victor United States 55 7.9k 3.2× 3.3k 1.9× 687 0.4× 185 0.1× 655 0.7× 244 10.8k

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-authorship network of co-authors of David Terman

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

All Works

20 of 20 papers shown
1.
2.
Terman, David & Min Zhou. (2019). Modeling the Role of the Astrocyte Syncytium and K+ Buffering in Maintaining Neuronal Firing Patterns. 5(1). 7–16. 4 indexed citations
3.
Huguet, Gemma, et al.. (2016). Neuroprotective Role of Gap Junctions in a Neuron Astrocyte Network Model. Biophysical Journal. 111(2). 452–462. 24 indexed citations
4.
Terman, David, Jonathan E. Rubin, & Casey O. Diekman. (2013). Irregular activity arises as a natural consequence of synaptic inhibition. Chaos An Interdisciplinary Journal of Nonlinear Science. 23(4). 46110–46110. 9 indexed citations
5.
Rubin, Jonathan E. & David Terman. (2012). Explicit maps to predict activation order in multiphase rhythms of a coupled cell network. PubMed. 2(1). 4–4. 10 indexed citations
6.
Terman, David, et al.. (2011). Stability of Anti-Phase and In-Phase Locking by Electrical Coupling but Not Fast Inhibition Alone. SIAM Journal on Applied Dynamical Systems. 10(3). 1127–1153. 14 indexed citations
7.
Ahn, Sungwoo, Brian H. Smith, Alla Borisyuk, & David Terman. (2010). Analyzing neuronal networks using discrete-time dynamics. Physica D Nonlinear Phenomena. 239(9). 515–528. 11 indexed citations
8.
Lyman, Kyle A., Robert A. McDougal, Brian E. Myers, et al.. (2010). A working memory model based on excitatory-inhibitory interactions and calcium dynamics. BMC Neuroscience. 11(S1). 1 indexed citations
9.
Su, Jianzhong, Jonathan E. Rubin, & David Terman. (2003). Effects of noise on elliptic bursters. Nonlinearity. 17(1). 133–157. 42 indexed citations
10.
Rubin, Jonathan E. & David Terman. (2000). Analysis of clustered firing patterns in synaptically coupled networks of oscillators. Journal of Mathematical Biology. 41(6). 513–545. 40 indexed citations
11.
Aronson, D. G., Eusebius J. Doedel, & David Terman. (1997). A codimension-two point associated with coupled Josephson junctions. Nonlinearity. 10(5). 1231–1255. 1 indexed citations
12.
Wang, DeLiang & David Terman. (1994). Synchrony and Desynchrony in Neural Oscillator Networks. Neural Information Processing Systems. 7. 199–206. 3 indexed citations
13.
Terman, David. (1988). Traveling wave solutions of a gradient system: solutions with a prescribed winding number. II. Transactions of the American Mathematical Society. 308(1). 391–412. 2 indexed citations
14.
Terman, David. (1987). Infinitely many traveling wave solutions of a gradient system. Transactions of the American Mathematical Society. 301(2). 537–556. 8 indexed citations
15.
Terman, David. (1987). Infinitely Many Traveling Wave Solutions of a Gradient System. Transactions of the American Mathematical Society. 301(2). 537–537. 4 indexed citations
16.
Terman, David. (1987). Infinitely many radial solutions of an elliptic system. Annales de l Institut Henri Poincaré C Analyse Non Linéaire. 4(6). 549–604. 5 indexed citations
17.
Peletier, L. A. & David Terman. (1986). A very singular solution of the porous media equation with absorption. Journal of Differential Equations. 65(3). 396–410. 47 indexed citations
18.
Terman, David. (1985). A free boundary arising from a model for nerve conduction. Journal of Differential Equations. 58(3). 345–363. 16 indexed citations
19.
Terman, David. (1985). Directed graphs and traveling waves. Transactions of the American Mathematical Society. 289(2). 809–847. 11 indexed citations
20.
Terman, David. (1985). Directed Graphs and Traveling Waves. Transactions of the American Mathematical Society. 289(2). 809–809. 4 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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