Conor Houghton
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- Black Holes and Theoretical Physics 8
- Quantum Chromodynamics and Particle Interactions 5
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- stochastic dynamics and bifurcation 7
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 20
- Behavioral Neuroscience top 10%
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- Neuroscience and Neuropharmacology Research 6
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- Advanced Memory and Neural Computing 6
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- Neural Networks and Applications 5
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- Vestibular and auditory disorders 5
- Co-authors
- Paul SutcliffeN. S. MantonThomas KreuzEmma RobinsonDaniel ChicharroRalph G. AndrzejakFlorian MormannBarak A. Pearlmutter
- Journals
- PLoS ONE (2 papers)The Journal of Physiology (2 papers)Journal of Neurophysiology (2 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
- Statistical and Nonlinear Physics 159
- Cognitive Neuroscience 236
- Behavioral Neuroscience 38
- Cellular and Molecular Neuroscience 126
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
The 25 scholars most cited alongside Conor Houghton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 20 | |
| 12 | 2019 | 13 | |
| 13 | 2018 | 7 | |
| 14 | 2017 | 29 | |
| 15 | 2016 | 3 | |
| 16 | 2015 | 15 | |
| 17 | 2010 | 2 | |
| 18 | A metric space approach to the information capacity of spike trains | 2010 | 1 |
| 19 | 2008 | 17 | |
| 20 | 1998 | 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), stochastic dynamics and bifurcation (7 papers), Advanced Memory and Neural Computing (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Quantum Chromodynamics and Particle Interactions (5 papers), Neural Networks and Applications (5 papers) and Vestibular and auditory disorders (5 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.