Jennifer Foss
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 5%
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Co-authors
- John MiltonAndré LongtinBoualem MensourDaniel FraimanDante R. ChialvoPablo BalenzuelaFrank MossToru Ohira
- Topics
- Neural dynamics and brain function (4 papers)Nonlinear Dynamics and Pattern Formation (3 papers)stochastic dynamics and bifurcation (3 papers)
- Cited by
- Statistical and Nonlinear PhysicsCognitive NeuroscienceComputer Networks and Communications
- Journals
- Physical Review LettersJournal of NeurophysiologyPhysical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics
- Partner nations
- United StatesBulgariaArgentina
In The Last Decade
Jennifer Foss
5 papers receiving 538 citations
Peers
Comparison fields: 5 of 54
- Statistical and Nonlinear Physics 330
- Computer Networks and Communications 309
- Cognitive Neuroscience 298
- Cellular and Molecular Neuroscience 70
- Artificial Intelligence 58
Countries citing papers authored by Jennifer Foss
This map shows the geographic impact of Jennifer Foss'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 Jennifer Foss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Foss more than expected).
Fields of papers citing papers by Jennifer Foss
This network shows the impact of papers produced by Jennifer Foss. 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 Jennifer Foss. The network helps show where Jennifer Foss may publish in the future.
Co-authorship network of co-authors of Jennifer Foss
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Foss. A scholar is included among the top collaborators of Jennifer Foss 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 Jennifer Foss. Jennifer Foss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 140 | |
| 2 | 85 | |
| 3 | Noise, multistability and long-tailed interspike interval (ISI) histograms | 1 |
| 4 | 70 | |
| 5 | 256 |
About Jennifer Foss
Jennifer Foss is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications, having authored 5 papers that have together received 552 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Nonlinear Dynamics and Pattern Formation (3 papers) and stochastic dynamics and bifurcation (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (330 citations), Cognitive Neuroscience (298 citations) and Computer Networks and Communications (309 citations). Jennifer Foss has collaborated with scholars based in United States, Bulgaria and Argentina. Frequent co-authors include John Milton, André Longtin, Boualem Mensour, Daniel Fraiman, Dante R. Chialvo, Pablo Balenzuela, Frank Moss, Toru Ohira and Christian W. Eurich. Their work appears in journals such as Physical Review Letters, Journal of Neurophysiology and Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
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.