Miguel A. Vadillo
- Cognitive Neuroscience top 1%
- Developmental and Educational Psychology top 2%
- Social Psychology top 2%
- Experimental and Cognitive Psychology top 2%
- Applied Psychology top 1%
- Co-authors
- Helena MatuteDavid R. ShanksFernando BlancoVasa ĆurčinAkkapon WongkoblapMarta FerreroEmmanouil KonstantinidisIon Yarritu
- Topics
- Neural and Behavioral Psychology Studies (36 papers)Child and Animal Learning Development (24 papers)Decision-Making and Behavioral Economics (22 papers)
- Partner nations
- SpainUnited KingdomAustralia
In The Last Decade
Miguel A. Vadillo
131 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Cognitive Neuroscience 1.4k
- Developmental and Educational Psychology 647
- Social Psychology 606
- Experimental and Cognitive Psychology 568
- Applied Psychology 403
Countries citing papers authored by Miguel A. Vadillo
This map shows the geographic impact of Miguel A. Vadillo'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 Miguel A. Vadillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel A. Vadillo more than expected).
Fields of papers citing papers by Miguel A. Vadillo
This network shows the impact of papers produced by Miguel A. Vadillo. 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 Miguel A. Vadillo. The network helps show where Miguel A. Vadillo may publish in the future.
Co-authorship network of co-authors of Miguel A. Vadillo
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel A. Vadillo. A scholar is included among the top collaborators of Miguel A. Vadillo 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 Miguel A. Vadillo. Miguel A. Vadillo 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 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 25 | |
| 10 | 14 | |
| 11 | 28 | |
| 12 | 11 | |
| 13 | 16 | |
| 14 | 26 | |
| 15 | 13 | |
| 16 | 13 | |
| 17 | 52 | |
| 18 | 2 | |
| 19 | 14 | |
| 20 | 31 |
About Miguel A. Vadillo
Miguel A. Vadillo is a scholar working on General Decision Sciences, Applied Psychology and Cognitive Neuroscience, having authored 137 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (36 papers), Child and Animal Learning Development (24 papers) and Decision-Making and Behavioral Economics (22 papers). The work is most often cited by research in General Decision Sciences (260 citations), Applied Psychology (403 citations) and Cognitive Neuroscience (1.4k citations). Miguel A. Vadillo has collaborated with scholars based in Spain, United Kingdom and Australia. Frequent co-authors include Helena Matute, David R. Shanks, Fernando Blanco, Vasa Ćurčin, Akkapon Wongkoblap, Marta Ferrero, Emmanouil Konstantinidis, Ion Yarritu, Pablo Garaizar and David Luque. Their work appears in journals such as Psychological Bulletin, PLoS ONE and Scientific Reports.
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.