Henry C. Tuckwell
- Cognitive Neuroscience top 1%
- Statistical and Nonlinear Physics top 0.2%
- Cellular and Molecular Neuroscience top 2%
- Computer Networks and Communications top 2%
- Molecular Biology
- Co-authors
- Frederic Y. M. WanJürgen JostFloyd B. HansonRoger RodriguezR. M. MiuraBoris GutkinJames A. KoziolRuth Williams
- Topics
- Neural dynamics and brain function (49 papers)stochastic dynamics and bifurcation (46 papers)Nonlinear Dynamics and Pattern Formation (26 papers)
- Partner nations
- AustraliaUnited StatesFrance
In The Last Decade
Henry C. Tuckwell
113 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Cognitive Neuroscience 2.0k
- Statistical and Nonlinear Physics 1.6k
- Cellular and Molecular Neuroscience 931
- Computer Networks and Communications 663
- Molecular Biology 439
Countries citing papers authored by Henry C. Tuckwell
This map shows the geographic impact of Henry C. Tuckwell'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 Henry C. Tuckwell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henry C. Tuckwell more than expected).
Fields of papers citing papers by Henry C. Tuckwell
This network shows the impact of papers produced by Henry C. Tuckwell. 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 Henry C. Tuckwell. The network helps show where Henry C. Tuckwell may publish in the future.
Co-authorship network of co-authors of Henry C. Tuckwell
This figure shows the co-authorship network connecting the top 25 collaborators of Henry C. Tuckwell. A scholar is included among the top collaborators of Henry C. Tuckwell 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 Henry C. Tuckwell. Henry C. Tuckwell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 33 | |
| 3 | 23 | |
| 4 | 56 | |
| 5 | 52 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 51 | |
| 9 | 23 | |
| 10 | 13 | |
| 11 | 12 | |
| 12 | 19 | |
| 13 | 29 | |
| 14 | 35 | |
| 15 | 12 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 5 | |
| 19 | Linear cable theory and dendritic structure | 12 |
| 20 | Nonlinear and stochastic theories | 34 |
About Henry C. Tuckwell
Henry C. Tuckwell is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Modeling and Simulation, having authored 116 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (49 papers), stochastic dynamics and bifurcation (46 papers) and Nonlinear Dynamics and Pattern Formation (26 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.6k citations), Cognitive Neuroscience (2.0k citations) and Modeling and Simulation (262 citations). Henry C. Tuckwell has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Frederic Y. M. Wan, Jürgen Jost, Floyd B. Hanson, Roger Rodriguez, R. M. Miura, Boris Gutkin, James A. Koziol, Ruth Williams, Davis K. Cope and W. Richter. Their work appears in journals such as Science, Physical Review Letters and The Journal of Chemical Physics.
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.