J. L. Hindmarsh
- Statistical and Nonlinear Physics top 0.2%
- Cognitive Neuroscience top 1%
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- R. M. RoseP. T. Landsberg
- Topics
- Neural dynamics and brain function (9 papers)stochastic dynamics and bifurcation (9 papers)Nonlinear Dynamics and Pattern Formation (6 papers)
- Cited by
- Statistical and Nonlinear PhysicsCognitive NeuroscienceComputer Networks and Communications
- Journals
- NaturePhilosophical Transactions of the Royal Society B Biological SciencesProceedings of the Royal Society of London. Series B, Biological sciences
- Partner nations
- United KingdomUnited States
In The Last Decade
J. L. Hindmarsh
11 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Statistical and Nonlinear Physics 2.0k
- Cognitive Neuroscience 1.7k
- Computer Networks and Communications 1.3k
- Electrical and Electronic Engineering 472
- Cellular and Molecular Neuroscience 346
Countries citing papers authored by J. L. Hindmarsh
This map shows the geographic impact of J. L. Hindmarsh'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 J. L. Hindmarsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. L. Hindmarsh more than expected).
Fields of papers citing papers by J. L. Hindmarsh
This network shows the impact of papers produced by J. L. Hindmarsh. 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 J. L. Hindmarsh. The network helps show where J. L. Hindmarsh may publish in the future.
Co-authorship network of co-authors of J. L. Hindmarsh
This figure shows the co-authorship network connecting the top 25 collaborators of J. L. Hindmarsh. A scholar is included among the top collaborators of J. L. Hindmarsh 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 J. L. Hindmarsh. J. L. Hindmarsh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 9 | |
| 3 | 15 | |
| 4 | 14 | |
| 5 | 134 | |
| 6 | 105 | |
| 7 | 57 | |
| 8 | A model of neuronal bursting using three coupled first order differential equationsbreakdown → | 1446 |
| 9 | 4 | |
| 10 | A model of the nerve impulse using two first-order differential equationsbreakdown → | 590 |
| 11 | 2 |
About J. L. Hindmarsh
J. L. Hindmarsh is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications, having authored 11 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), stochastic dynamics and bifurcation (9 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.0k citations), Cognitive Neuroscience (1.7k citations) and Computer Networks and Communications (1.3k citations). J. L. Hindmarsh has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include R. M. Rose and P. T. Landsberg. Their work appears in journals such as Nature, Philosophical Transactions of the Royal Society B Biological Sciences and Proceedings of the Royal Society of London. Series B, Biological sciences.
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.