Fabián A. Soto
- Cognitive Neuroscience top 5%
- Developmental and Educational Psychology top 5%
- Social Psychology top 10%
- Experimental and Cognitive Psychology top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Edward A. WassermanF. Gregory AshbySamuel J. GershmanYael NivEdgar VögelAllan R. WagnerSébastien HélieOlga F. Lazareva
- Topics
- Face Recognition and Perception (18 papers)Memory and Neural Mechanisms (12 papers)Child and Animal Learning Development (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroImagePsychological Review
- Partner nations
- United StatesChileRussia
In The Last Decade
Fabián A. Soto
37 papers receiving 502 citations
Peers
Comparison fields: 5 of 90
- Cognitive Neuroscience 313
- Developmental and Educational Psychology 150
- Social Psychology 143
- Experimental and Cognitive Psychology 89
- Ecology, Evolution, Behavior and Systematics 68
Countries citing papers authored by Fabián A. Soto
This map shows the geographic impact of Fabián A. Soto'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 Fabián A. Soto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabián A. Soto more than expected).
Fields of papers citing papers by Fabián A. Soto
This network shows the impact of papers produced by Fabián A. Soto. 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 Fabián A. Soto. The network helps show where Fabián A. Soto may publish in the future.
Co-authorship network of co-authors of Fabián A. Soto
This figure shows the co-authorship network connecting the top 25 collaborators of Fabián A. Soto. A scholar is included among the top collaborators of Fabián A. Soto 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 Fabián A. Soto. Fabián A. Soto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 20 | |
| 13 | 36 | |
| 14 | 13 | |
| 15 | 10 | |
| 16 | 35 | |
| 17 | 35 | |
| 18 | 8 | |
| 19 | 2 | |
| 20 | MATHEMATICAL MODELS OF CLASSICAL CONDITIONING:: EVOLUTION AND CURRENT CHALLENGES | 3 |
About Fabián A. Soto
Fabián A. Soto is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Developmental Biology, having authored 42 papers that have together received 517 indexed citations. Recurring topics across this work include Face Recognition and Perception (18 papers), Memory and Neural Mechanisms (12 papers) and Child and Animal Learning Development (10 papers). The work is most often cited by research in Developmental Biology (40 citations), Cognitive Neuroscience (313 citations) and Developmental and Educational Psychology (150 citations). Fabián A. Soto has collaborated with scholars based in United States, Chile and Russia. Frequent co-authors include Edward A. Wasserman, F. Gregory Ashby, Samuel J. Gershman, Yael Niv, Edgar Vögel, Allan R. Wagner, Sébastien Hélie, Olga F. Lazareva, Fernando P. Ponce and Bennett L. Schwartz. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage 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.