Nicholas Furl

57 total papers · 2.0k total citations
35 papers, 1.5k citations indexed

About

Nicholas Furl is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nicholas Furl has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 10 papers in Experimental and Cognitive Psychology and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nicholas Furl's work include Face Recognition and Perception (20 papers), Evolutionary Psychology and Human Behavior (9 papers) and Visual perception and processing mechanisms (8 papers). Nicholas Furl is often cited by papers focused on Face Recognition and Perception (20 papers), Evolutionary Psychology and Human Behavior (9 papers) and Visual perception and processing mechanisms (8 papers). Nicholas Furl collaborates with scholars based in United Kingdom, United States and Switzerland. Nicholas Furl's co-authors include Raymond J. Dolan, Bruno B. Averbeck, Jon Driver, Lúcia Garrido, Bradley Duchaine, Karl Friston, P. Jonathon Phillips, Alice J. O’Toole, Andrew J. Calder and Richard N. Henson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Nicholas Furl

33 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Nicholas Furl 1.2k 492 347 159 84 35 1.5k
Lúcia Garrido 1.3k 1.1× 611 1.2× 342 1.0× 276 1.7× 117 1.4× 37 1.6k
Vaidehi Natu 1.6k 1.3× 344 0.7× 332 1.0× 148 0.9× 38 0.5× 36 1.8k
Grit Herzmann 1.2k 1.0× 471 1.0× 313 0.9× 252 1.6× 37 0.4× 29 1.4k
Mitchell Valdés-Sosa 1.2k 1.0× 339 0.7× 107 0.3× 161 1.0× 29 0.3× 59 1.6k
Javid Sadr 1.2k 1.0× 454 0.9× 330 1.0× 223 1.4× 26 0.3× 19 1.5k
Nuala Brady 1.1k 0.9× 310 0.6× 233 0.7× 313 2.0× 26 0.3× 43 1.4k
María A. Bobes 888 0.7× 240 0.5× 80 0.2× 156 1.0× 42 0.5× 52 1.1k
Boutheina Jemel 1.6k 1.3× 368 0.7× 222 0.6× 100 0.6× 55 0.7× 51 1.7k
Yiying Song 1.2k 1.0× 521 1.1× 194 0.6× 240 1.5× 44 0.5× 61 1.5k
Dana Kuefner 1.1k 0.9× 500 1.0× 273 0.8× 137 0.9× 29 0.3× 17 1.3k

Countries citing papers authored by Nicholas Furl

Since Specialization
Citations

This map shows the geographic impact of Nicholas Furl'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 Nicholas Furl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Furl more than expected).

Fields of papers citing papers by Nicholas Furl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas Furl. 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 Nicholas Furl. The network helps show where Nicholas Furl may publish in the future.

Co-authorship network of co-authors of Nicholas Furl

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Furl. A scholar is included among the top collaborators of Nicholas Furl 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 Nicholas Furl. Nicholas Furl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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2026