Conor Houghton

153 total papers · 1.3k total citations
48 papers, 714 citations indexed

About

Conor Houghton is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Conor Houghton has authored 48 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 14 papers in Statistical and Nonlinear Physics and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Conor Houghton's work include Neural dynamics and brain function (20 papers), Black Holes and Theoretical Physics (8 papers) and stochastic dynamics and bifurcation (7 papers). Conor Houghton is often cited by papers focused on Neural dynamics and brain function (20 papers), Black Holes and Theoretical Physics (8 papers) and stochastic dynamics and bifurcation (7 papers). Conor Houghton collaborates with scholars based in United Kingdom, Ireland and United States. Conor Houghton's co-authors include Paul Sutcliffe, N. S. Manton, Thomas Kreuz, Emma Robinson, Florian Mormann, Daniel Chicharro, Ralph G. Andrzejak, Barak A. Pearlmutter, Peter Lynch and Nina Kazanina and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Journal of Neurophysiology.

In The Last Decade

Conor Houghton

42 papers receiving 690 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Conor Houghton 275 233 157 124 91 48 714
Marcus K. Benna 422 1.5× 336 1.4× 169 1.1× 130 1.0× 215 2.4× 18 860
Michael McGuigan 227 0.8× 59 0.3× 127 0.8× 73 0.6× 205 2.3× 35 795
Sébastien Leurent 324 1.2× 213 0.9× 170 1.1× 30 0.2× 81 0.9× 12 721
Francesco Caravelli 138 0.5× 117 0.5× 236 1.5× 58 0.5× 154 1.7× 60 873
Xiaomin Wang 180 0.7× 29 0.1× 165 1.1× 120 1.0× 275 3.0× 54 881
Eleonora Alfinito 38 0.1× 88 0.4× 145 0.9× 145 1.2× 29 0.3× 77 749
Takashi Okada 90 0.3× 87 0.4× 42 0.3× 348 2.8× 83 0.9× 52 850
Yuji Satoh 388 1.4× 27 0.1× 175 1.1× 34 0.3× 155 1.7× 71 846
Itsaso Olasagasti 188 0.7× 357 1.5× 77 0.5× 81 0.7× 187 2.1× 30 702
Angelo Galante 362 1.3× 34 0.1× 83 0.5× 29 0.2× 64 0.7× 83 828

Countries citing papers authored by Conor Houghton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026