David Terman
- Statistical and Nonlinear Physics top 0.2%
- stochastic dynamics and bifurcation 28
- Cognitive Neuroscience top 0.5%
- Neural dynamics and brain function 39
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- Neuroscience and Neuropharmacology Research 22
- Neuroscience and Neural Engineering 5
- Computer Networks and Communications top 0.5%
- Nonlinear Dynamics and Pattern Formation 31
- Neurology top 1%
- Neurological disorders and treatments 8
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- Mathematical and Theoretical Epidemiology and Ecology Models 10
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- Ion channel regulation and function 6
- Co-authors
- Jonathan E. RubinBard ErmentroutDeLiang WangCharles J. WilsonAlice C. YewJohn RinzelL. A. PeletierAmitabha Bose
- Journals
- Transactions of the American Mathematical Society (7 papers)SIAM Journal on Applied Dynamical Systems (6 papers)Journal of Computational Neuroscience (6 papers)
- Partner nations
- United StatesNetherlandsFrance
In The Last Decade
David Terman
94 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Statistical and Nonlinear Physics 1.7k
- Cognitive Neuroscience 2.5k
- Cellular and Molecular Neuroscience 1.7k
- Computer Networks and Communications 1.5k
- Neurology 893
Countries citing papers authored by David Terman
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
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | Modeling the Role of the Astrocyte Syncytium and K+ Buffering in Maintaining Neuronal Firing Patterns | 2019 | 4 |
| 3 | 2018 | 8 | |
| 4 | 2017 | 10 | |
| 5 | 2016 | 24 | |
| 6 | 2013 | 23 | |
| 7 | 2013 | 9 | |
| 8 | 2009 | 79 | |
| 9 | 2008 | 24 | |
| 10 | 2001 | 28 | |
| 11 | 2000 | 40 | |
| 12 | 1999 | 16 | |
| 13 | Synchrony and Desynchrony in Neural Oscillator Networks | 1994 | 3 |
| 14 | 1988 | 2 | |
| 15 | 1987 | 8 | |
| 16 | 1987 | 4 | |
| 17 | 1986 | 47 | |
| 18 | 1985 | 11 | |
| 19 | 1985 | 4 | |
| 20 | 1985 | 16 |
About David Terman
David Terman is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 96 papers that have together received 4.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (39 papers), Nonlinear Dynamics and Pattern Formation (31 papers), stochastic dynamics and bifurcation (28 papers), Neuroscience and Neuropharmacology Research (22 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers), Neurological disorders and treatments (8 papers), Ion channel regulation and function (6 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.7k citations), Cognitive Neuroscience (2.5k citations) and Cellular and Molecular Neuroscience (1.7k 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 Haı̈m Brezis. Their work appears in journals such as Transactions of the American Mathematical Society, SIAM Journal on Applied Dynamical Systems, Journal of Computational Neuroscience, Physica D Nonlinear Phenomena and Journal of Neurophysiology.
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.