Frank C. Hoppensteadt
- Computer Networks and Communications top 0.5%
- Statistical and Nonlinear Physics top 0.2%
- Cognitive Neuroscience top 1%
- Electrical and Electronic Engineering top 5%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Eugene M. IzhikevichTakashi NishikawaYing‐Cheng LaiAdilson E. MotterNiraj S. DesaiElisabeth C. WalcottJames P. KeenerRichard P. Novick
- Topics
- Neural dynamics and brain function (41 papers)Nonlinear Dynamics and Pattern Formation (22 papers)Differential Equations and Numerical Methods (16 papers)
- Cited by
- Statistical and Nonlinear PhysicsCognitive NeuroscienceComputer Networks and Communications
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Frank C. Hoppensteadt
113 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Computer Networks and Communications 2.3k
- Statistical and Nonlinear Physics 2.2k
- Cognitive Neuroscience 2.0k
- Electrical and Electronic Engineering 876
- Cellular and Molecular Neuroscience 741
Countries citing papers authored by Frank C. Hoppensteadt
This map shows the geographic impact of Frank C. Hoppensteadt'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 Frank C. Hoppensteadt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank C. Hoppensteadt more than expected).
Fields of papers citing papers by Frank C. Hoppensteadt
This network shows the impact of papers produced by Frank C. Hoppensteadt. 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 Frank C. Hoppensteadt. The network helps show where Frank C. Hoppensteadt may publish in the future.
Co-authorship network of co-authors of Frank C. Hoppensteadt
This figure shows the co-authorship network connecting the top 25 collaborators of Frank C. Hoppensteadt. A scholar is included among the top collaborators of Frank C. Hoppensteadt 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 Frank C. Hoppensteadt. Frank C. Hoppensteadt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 12 | |
| 3 | PROPAGATING COALITIONS IN NETWORKS OF NONLINEAR OSCILLATORS | 1 |
| 4 | RANDOM PERTURBATIONS OF VOLTERRA DYNAMICAL SYSTEMS IN NEUROSCIENCE | 0 |
| 5 | 475 | |
| 6 | 28 | |
| 7 | 330 | |
| 8 | 198 | |
| 9 | 11 | |
| 10 | 106 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 64 | |
| 14 | 4 | |
| 15 | Mathematical aspects of physiology | 25 |
| 16 | 26 | |
| 17 | 5 | |
| 18 | 57 | |
| 19 | 57 | |
| 20 | 214 |
About Frank C. Hoppensteadt
Frank C. Hoppensteadt is a scholar working on Numerical Analysis, Modeling and Simulation and Statistical and Nonlinear Physics, having authored 121 papers that have together received 6.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (41 papers), Nonlinear Dynamics and Pattern Formation (22 papers) and Differential Equations and Numerical Methods (16 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.2k citations), Cognitive Neuroscience (2.0k citations) and Computer Networks and Communications (2.3k citations). Frank C. Hoppensteadt has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Eugene M. Izhikevich, Takashi Nishikawa, Ying‐Cheng Lai, Adilson E. Motter, Niraj S. Desai, Elisabeth C. Walcott, James P. Keener, Richard P. Novick, John Rinzel and Charles S. Peskin. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.