Conor Houghton
- Nuclear and High Energy Physics top 5%
- Cognitive Neuroscience top 10%
- Statistical and Nonlinear Physics top 5%
- Cellular and Molecular Neuroscience top 10%
- Astronomy and Astrophysics top 10%
- Co-authors
- Paul SutcliffeN. S. MantonThomas KreuzEmma RobinsonDaniel ChicharroRalph G. AndrzejakFlorian MormannBarak A. Pearlmutter
- Topics
- Neural dynamics and brain function (20 papers)Black Holes and Theoretical Physics (8 papers)stochastic dynamics and bifurcation (7 papers)
- Partner nations
- United KingdomIrelandUnited States
In The Last Decade
Conor Houghton
43 papers receiving 696 citations
Peers
Comparison fields: 5 of 94
- Nuclear and High Energy Physics 275
- Cognitive Neuroscience 236
- Statistical and Nonlinear Physics 159
- Cellular and Molecular Neuroscience 126
- Astronomy and Astrophysics 91
Countries citing papers authored by Conor Houghton
This map shows the geographic impact of Conor Houghton'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 Conor Houghton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conor Houghton more than expected).
Fields of papers citing papers by Conor Houghton
This network shows the impact of papers produced by Conor Houghton. 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 Conor Houghton. The network helps show where Conor Houghton may publish in the future.
Co-authorship network of co-authors of Conor Houghton
This figure shows the co-authorship network connecting the top 25 collaborators of Conor Houghton. A scholar is included among the top collaborators of Conor Houghton 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 Conor Houghton. Conor Houghton 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 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 2 | |
| 11 | 20 | |
| 12 | 13 | |
| 13 | 7 | |
| 14 | 29 | |
| 15 | 3 | |
| 16 | 15 | |
| 17 | 2 | |
| 18 | A metric space approach to the information capacity of spike trains | 1 |
| 19 | 17 | |
| 20 | 211 |
About Conor Houghton
Conor Houghton is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience, having authored 48 papers that have together received 719 indexed citations. Recurring topics across this work include Neural dynamics and brain function (20 papers), Black Holes and Theoretical Physics (8 papers) and stochastic dynamics and bifurcation (7 papers). The work is most often cited by research in Nuclear and High Energy Physics (275 citations), Statistical and Nonlinear Physics (159 citations) and Cognitive Neuroscience (236 citations). Conor Houghton has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Paul Sutcliffe, N. S. Manton, Thomas Kreuz, Emma Robinson, Daniel Chicharro, Ralph G. Andrzejak, Florian Mormann, Barak A. Pearlmutter, Peter Lynch and Nina Kazanina. Their work appears in journals such as PLoS ONE, The Journal of Physiology and Journal of Neurophysiology.
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.