R. Becket Ebitz

61 total papers · 1.8k total citations
21 papers, 899 citations indexed

About

R. Becket Ebitz is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, R. Becket Ebitz has authored 21 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 6 papers in Social Psychology and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in R. Becket Ebitz's work include Neural and Behavioral Psychology Studies (9 papers), Neural dynamics and brain function (9 papers) and Visual perception and processing mechanisms (7 papers). R. Becket Ebitz is often cited by papers focused on Neural and Behavioral Psychology Studies (9 papers), Neural dynamics and brain function (9 papers) and Visual perception and processing mechanisms (7 papers). R. Becket Ebitz collaborates with scholars based in United States, Canada and France. R. Becket Ebitz's co-authors include Michael L. Platt, Karli Watson, Tirin Moore, Joseph W. Barter, Steve W. C. Chang, Robert C. Wilson, Elizabeth Bonawitz, Vincent D. Costa, John Pearson and Eddy Albarran and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

R. Becket Ebitz

19 papers receiving 889 citations

Author Peers

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

Author Last Decade Papers Cites
R. Becket Ebitz 470 404 249 84 83 21 899
Randi Bennett 539 1.1× 393 1.0× 285 1.1× 77 0.9× 38 0.5× 10 886
Martin E. Hahn 215 0.5× 437 1.1× 176 0.7× 152 1.8× 55 0.7× 40 1.0k
Sina Radke 376 0.8× 463 1.1× 505 2.0× 52 0.6× 22 0.3× 36 1.1k
Paula D. Trotter 321 0.7× 372 0.9× 174 0.7× 19 0.2× 44 0.5× 24 761
Allison Jack 513 1.1× 293 0.7× 122 0.5× 146 1.7× 16 0.2× 30 964
Pamela L. Noble 194 0.4× 579 1.4× 229 0.9× 141 1.7× 26 0.3× 16 846
Serena‐Lynn Brown 333 0.7× 256 0.6× 249 1.0× 32 0.4× 44 0.5× 25 870
Diego Scheggia 321 0.7× 453 1.1× 144 0.6× 114 1.4× 30 0.4× 22 949
James P. Burkett 160 0.3× 674 1.7× 288 1.2× 113 1.3× 24 0.3× 17 876
Lizhu Luo 314 0.7× 502 1.2× 522 2.1× 55 0.7× 11 0.1× 39 949

Countries citing papers authored by R. Becket Ebitz

Since Specialization
Citations

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

Fields of papers citing papers by R. Becket Ebitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Becket Ebitz. 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 R. Becket Ebitz. The network helps show where R. Becket Ebitz may publish in the future.

Co-authorship network of co-authors of R. Becket Ebitz

This figure shows the co-authorship network connecting the top 25 collaborators of R. Becket Ebitz. A scholar is included among the top collaborators of R. Becket Ebitz 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 R. Becket Ebitz. R. Becket Ebitz 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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