S. J. Butcher

13 total papers · 704 total citations
7 papers, 549 citations indexed

About

S. J. Butcher is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, S. J. Butcher has authored 7 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in S. J. Butcher's work include Visual perception and processing mechanisms (6 papers), Neural and Behavioral Psychology Studies (4 papers) and Face Recognition and Perception (3 papers). S. J. Butcher is often cited by papers focused on Visual perception and processing mechanisms (6 papers), Neural and Behavioral Psychology Studies (4 papers) and Face Recognition and Perception (3 papers). S. J. Butcher collaborates with scholars based in United States and France. S. J. Butcher's co-authors include Jeremy M. Wolfe, Carol Lee, Aude Oliva, Todd S. Horowitz, Aline Bompas and Patrick Cavanagh and has published in prestigious journals such as Journal of Experimental Psychology Human Perception & Performance, Vision Research and Journal of Vision.

In The Last Decade

S. J. Butcher

7 papers receiving 535 citations

Author Peers

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

Author Last Decade Papers Cites
S. J. Butcher 453 170 91 62 55 7 549
Jason A. Droll 395 0.9× 119 0.7× 52 0.6× 56 0.9× 64 1.2× 16 456
Markus Joos 309 0.7× 194 1.1× 84 0.9× 135 2.2× 179 3.3× 10 616
Denise L. Evert 435 1.0× 83 0.5× 90 1.0× 49 0.8× 26 0.5× 9 592
Pieter Unema 285 0.6× 160 0.9× 58 0.6× 86 1.4× 149 2.7× 13 446
Benedikt Ehinger 398 0.9× 94 0.6× 85 0.9× 68 1.1× 131 2.4× 24 588
Holle Kirchner 457 1.0× 134 0.8× 75 0.8× 42 0.7× 28 0.5× 6 522
Laura Renninger 368 0.8× 303 1.8× 59 0.6× 45 0.7× 124 2.3× 17 617
Grayden J. F. Solman 502 1.1× 57 0.3× 182 2.0× 57 0.9× 50 0.9× 20 595
Richard Dewhurst 232 0.5× 193 1.1× 70 0.8× 69 1.1× 187 3.4× 13 549
Jared Abrams 422 0.9× 67 0.4× 92 1.0× 57 0.9× 18 0.3× 14 477

Countries citing papers authored by S. J. Butcher

Since Specialization
Citations

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

Fields of papers citing papers by S. J. Butcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. J. Butcher. 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 S. J. Butcher. The network helps show where S. J. Butcher may publish in the future.

Co-authorship network of co-authors of S. J. Butcher

This figure shows the co-authorship network connecting the top 25 collaborators of S. J. Butcher. A scholar is included among the top collaborators of S. J. Butcher 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 S. J. Butcher. S. J. Butcher 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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