Paul A. Warren

86 total papers · 1.7k total citations
60 papers, 1.1k citations indexed

About

Paul A. Warren is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Paul A. Warren has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cognitive Neuroscience, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Paul A. Warren's work include Visual perception and processing mechanisms (30 papers), Tactile and Sensory Interactions (13 papers) and Neural dynamics and brain function (9 papers). Paul A. Warren is often cited by papers focused on Visual perception and processing mechanisms (30 papers), Tactile and Sensory Interactions (13 papers) and Neural dynamics and brain function (9 papers). Paul A. Warren collaborates with scholars based in United Kingdom, United States and Chile. Paul A. Warren's co-authors include Simon K. Rushton, Ulrike Hahn, Tom C. A. Freeman, Peter Fröst, Emma Gowen, George Farmer, Mark F Bradshaw, Daniel Poole, Laurence T. Maloney and Wael El‐Deredy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Psychological Review.

In The Last Decade

Paul A. Warren

55 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Paul A. Warren 771 176 144 138 109 60 1.1k
Frouke Hermens 932 1.2× 175 1.0× 116 0.8× 194 1.4× 171 1.6× 88 1.4k
Eugene McSorley 976 1.3× 114 0.6× 62 0.4× 294 2.1× 101 0.9× 48 1.3k
Anna Montagnini 807 1.0× 96 0.5× 25 0.2× 106 0.8× 78 0.7× 44 978
Piers D. L. Howe 651 0.8× 111 0.6× 48 0.3× 90 0.7× 164 1.5× 73 1.1k
Sharon Gilaie‐Dotan 869 1.1× 145 0.8× 39 0.3× 207 1.5× 137 1.3× 49 1.1k
Alexander A. Petrov 838 1.1× 78 0.4× 49 0.3× 227 1.6× 92 0.8× 48 1.1k
Vikram S. Chib 761 1.0× 68 0.4× 150 1.0× 144 1.0× 126 1.2× 37 1.1k
Allison N. McCoy 789 1.0× 48 0.3× 151 1.0× 107 0.8× 113 1.0× 18 1.1k
Kenneth J. Kurtz 620 0.8× 124 0.7× 16 0.1× 274 2.0× 141 1.3× 66 1.4k
Aline Bompas 792 1.0× 68 0.4× 35 0.2× 181 1.3× 120 1.1× 39 1.1k

Countries citing papers authored by Paul A. Warren

Since Specialization
Citations

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

Fields of papers citing papers by Paul A. Warren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul A. Warren. 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 Paul A. Warren. The network helps show where Paul A. Warren may publish in the future.

Co-authorship network of co-authors of Paul A. Warren

This figure shows the co-authorship network connecting the top 25 collaborators of Paul A. Warren. A scholar is included among the top collaborators of Paul A. Warren 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 Paul A. Warren. Paul A. Warren 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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