Paul C. Bressloff
- Cognitive Neuroscience top 0.5%
- Statistical and Nonlinear Physics top 0.1%
- Molecular Biology top 5%
- Computer Networks and Communications top 1%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Jay NewbyAlessandra AngelucciStephen CoombesJack D. CowanStefanos E. FoliasSean D. LawleyZachary P. KilpatrickMartin Golubitsky
- Topics
- Neural dynamics and brain function (113 papers)stochastic dynamics and bifurcation (97 papers)Diffusion and Search Dynamics (70 papers)
- Cited by
- Statistical and Nonlinear PhysicsCognitive NeuroscienceComputer Networks and Communications
- Journals
- Physical Review LettersJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomSlovakia
In The Last Decade
Paul C. Bressloff
242 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Cognitive Neuroscience 3.3k
- Statistical and Nonlinear Physics 2.5k
- Molecular Biology 2.0k
- Computer Networks and Communications 1.4k
- Cellular and Molecular Neuroscience 1.1k
Countries citing papers authored by Paul C. Bressloff
This map shows the geographic impact of Paul C. Bressloff'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 Paul C. Bressloff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul C. Bressloff more than expected).
Fields of papers citing papers by Paul C. Bressloff
This network shows the impact of papers produced by Paul C. Bressloff. 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 Paul C. Bressloff. The network helps show where Paul C. Bressloff may publish in the future.
Co-authorship network of co-authors of Paul C. Bressloff
This figure shows the co-authorship network connecting the top 25 collaborators of Paul C. Bressloff. A scholar is included among the top collaborators of Paul C. Bressloff 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 Paul C. Bressloff. Paul C. Bressloff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 14 | |
| 5 | 37 | |
| 6 | 7 | |
| 7 | 14 | |
| 8 | 28 | |
| 9 | 1 | |
| 10 | 37 | |
| 11 | 3 | |
| 12 | 16 | |
| 13 | 27 | |
| 14 | 27 | |
| 15 | 3 | |
| 16 | 18 | |
| 17 | 338 | |
| 18 | 5 | |
| 19 | 2 | |
| 20 | 25 |
About Paul C. Bressloff
Paul C. Bressloff is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Mathematical Physics, having authored 247 papers that have together received 6.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (113 papers), stochastic dynamics and bifurcation (97 papers) and Diffusion and Search Dynamics (70 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.5k citations), Cognitive Neuroscience (3.3k citations) and Computer Networks and Communications (1.4k citations). Paul C. Bressloff has collaborated with scholars based in United States, United Kingdom and Slovakia. Frequent co-authors include Jay Newby, Alessandra Angelucci, Stephen Coombes, Jack D. Cowan, Stefanos E. Folias, Sean D. Lawley, Zachary P. Kilpatrick, Martin Golubitsky, Peter J. Thomas and Matthew C. Wiener. Their work appears in journals such as Physical Review Letters, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.