Richard A. Chechile
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 5%
- Developmental and Educational Psychology top 5%
- Experimental and Cognitive Psychology top 10%
- Social Psychology top 10%
- Co-authors
- Sal A. SoraciDonald L. MeyerCharles L. RichmanJeffery J. FranksMichael T. CarlinAlan CookeFrank T.‐C. TsaiJohn D. Bransford
- Topics
- Memory Processes and Influences (22 papers)Visual and Cognitive Learning Processes (9 papers)Statistical Methods and Bayesian Inference (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Applied PsychologyPsychological Review
- Partner nations
- United States
In The Last Decade
Richard A. Chechile
64 papers receiving 810 citations
Peers
Comparison fields: 5 of 107
- Cognitive Neuroscience 506
- Artificial Intelligence 270
- Developmental and Educational Psychology 191
- Experimental and Cognitive Psychology 149
- Social Psychology 138
Countries citing papers authored by Richard A. Chechile
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 9 | |
| 5 | 36 | |
| 6 | 30 | |
| 7 | 18 | |
| 8 | 18 | |
| 9 | 5 | |
| 10 | 34 | |
| 11 | 2 | |
| 12 | 23 | |
| 13 | 2 | |
| 14 | 17 | |
| 15 | 22 | |
| 16 | 18 | |
| 17 | 30 | |
| 18 | 4 | |
| 19 | 10 | |
| 20 | 1 |
About Richard A. Chechile
Richard A. Chechile is a scholar working on General Decision Sciences, Statistics and Probability and Cognitive Neuroscience, having authored 67 papers that have together received 895 indexed citations. Recurring topics across this work include Memory Processes and Influences (22 papers), Visual and Cognitive Learning Processes (9 papers) and Statistical Methods and Bayesian Inference (7 papers). The work is most often cited by research in General Decision Sciences (72 citations), Cognitive Neuroscience (506 citations) and Developmental and Educational Psychology (191 citations). Richard A. Chechile has collaborated with scholars based in United States. Frequent co-authors include Sal A. Soraci, Donald L. Meyer, Charles L. Richman, Jeffery J. Franks, Michael T. Carlin, Alan Cooke, Frank T.‐C. Tsai, John D. Bransford, Robert F. Belli and Robert G. Eggleston. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Applied Psychology and Psychological Review.
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.