James P. Keener
- Computer Networks and Communications top 0.2%
- Statistical and Nonlinear Physics top 0.1%
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 1%
- Cognitive Neuroscience top 2%
- Co-authors
- James SneydJohn J. TysonAlexander V. PanfilovAaron L. FogelsonDavid W. McLaughlinJoyce LinLeon GlassFrank C. Hoppensteadt
- Topics
- Nonlinear Dynamics and Pattern Formation (44 papers)Cardiac electrophysiology and arrhythmias (34 papers)stochastic dynamics and bifurcation (29 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCardiology and Cardiovascular Medicine
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
James P. Keener
168 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Computer Networks and Communications 3.6k
- Statistical and Nonlinear Physics 3.0k
- Molecular Biology 2.3k
- Cardiology and Cardiovascular Medicine 1.9k
- Cognitive Neuroscience 997
Countries citing papers authored by James P. Keener
This map shows the geographic impact of James P. Keener'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 James P. Keener with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James P. Keener more than expected).
Fields of papers citing papers by James P. Keener
This network shows the impact of papers produced by James P. Keener. 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 James P. Keener. The network helps show where James P. Keener may publish in the future.
Co-authorship network of co-authors of James P. Keener
This figure shows the co-authorship network connecting the top 25 collaborators of James P. Keener. A scholar is included among the top collaborators of James P. Keener 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 James P. Keener. James P. Keener is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 37 | |
| 8 | 66 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 30 | |
| 12 | 68 | |
| 13 | 3 | |
| 14 | Mathematical Physiologybreakdown → | 1062 |
| 15 | 55 | |
| 16 | 10 | |
| 17 | 26 | |
| 18 | 11 | |
| 19 | 81 | |
| 20 | 15 |
About James P. Keener
James P. Keener is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cardiology and Cardiovascular Medicine, having authored 170 papers that have together received 9.4k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (44 papers), Cardiac electrophysiology and arrhythmias (34 papers) and stochastic dynamics and bifurcation (29 papers). The work is most often cited by research in Statistical and Nonlinear Physics (3.0k citations), Computer Networks and Communications (3.6k citations) and Cardiology and Cardiovascular Medicine (1.9k citations). James P. Keener has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include James Sneyd, John J. Tyson, Alexander V. Panfilov, Aaron L. Fogelson, David W. McLaughlin, Joyce Lin, Leon Glass, Frank C. Hoppensteadt, Marc Courtemanche and Herbert B. Keller. 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.