Richard A. Chechile

109 total papers · 1.2k total citations
67 papers, 893 citations indexed

About

Richard A. Chechile is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Richard A. Chechile has authored 67 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 17 papers in Artificial Intelligence and 17 papers in Statistics and Probability. Recurrent topics in Richard A. Chechile's work include Memory Processes and Influences (22 papers), Visual and Cognitive Learning Processes (9 papers) and Decision-Making and Behavioral Economics (7 papers). Richard A. Chechile is often cited by papers focused on Memory Processes and Influences (22 papers), Visual and Cognitive Learning Processes (9 papers) and Decision-Making and Behavioral Economics (7 papers). Richard A. Chechile collaborates with scholars based in United States. Richard A. Chechile's co-authors include Sal A. Soraci, Charles L. Richman, Donald L. Meyer, Jeffery J. Franks, Alan Cooke, Michael T. Carlin, Frank T.‐C. Tsai, John D. Bransford, Robert F. Belli and Robert G. Eggleston and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Psychology and Psychological Review.

In The Last Decade

Richard A. Chechile

64 papers receiving 806 citations

Author Peers

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

Author Last Decade Papers Cites
Richard A. Chechile 503 270 191 149 138 67 893
Björn Meder 237 0.5× 304 1.1× 303 1.6× 153 1.0× 90 0.7× 50 1000
Stephen W. Link 437 0.9× 89 0.3× 116 0.6× 176 1.2× 67 0.5× 22 727
Abraham S. Luchins 134 0.3× 195 0.7× 138 0.7× 210 1.4× 206 1.5× 93 1.0k
Linda M. Moxey 371 0.7× 269 1.0× 287 1.5× 363 2.4× 53 0.4× 35 961
Frédéric Vallée‐Tourangeau 423 0.8× 202 0.7× 326 1.7× 306 2.1× 207 1.5× 82 1.0k
Tomer Ullman 328 0.7× 305 1.1× 465 2.4× 102 0.7× 255 1.8× 59 1.0k
Bettina von Helversen 287 0.6× 156 0.6× 219 1.1× 111 0.7× 108 0.8× 57 985
Kristien Dieussaert 242 0.5× 275 1.0× 316 1.7× 280 1.9× 117 0.8× 35 847
Ami Eidels 570 1.1× 92 0.3× 77 0.4× 261 1.8× 260 1.9× 72 923
Peter F. Delaney 643 1.3× 209 0.8× 339 1.8× 323 2.2× 157 1.1× 34 995

Countries citing papers authored by Richard A. Chechile

Since Specialization
Citations

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

Fields of papers citing papers by Richard A. Chechile

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard A. Chechile

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