Alejandro J. Estudillo

501 citations
30 papers · 290 · h-index 11

Impact in

Papers in

Alejandro J. Estudillo

28 papers receiving 287 citations

Peers

Alejandro J. Estudillo
Comparison fields: 5 of 32
  • Cognitive Neuroscience 234
  • Experimental and Cognitive Psychology 125
  • Computer Vision and Pattern Recognition 113
  • Human-Computer Interaction 18
  • Neurology 18
Replace Talia Brandman with:
Talia Brandman Israel
Nabil Hasshim United Kingdom
Thomas J. McKeeff United States
Todd A. Kelley United States
Charlotte Hills Canada
Lina Teichmann Australia
Madeleine Pidcock Australia
Thomas Grüter Germany
Sven Panis Belgium
Alexander Paunov United States
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Citations per field
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Citations per year

Countries citing papers authored by Alejandro J. Estudillo

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro J. Estudillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejandro J. Estudillo. 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 Alejandro J. Estudillo. The network helps show where Alejandro J. Estudillo may publish in the future.

Co-authors

The 17 scholars most cited alongside Alejandro J. Estudillo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alejandro J. Estudillo Line = papers co-authored together Alejandro J. Estudillo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201453
2 201928
3 202126
4 201620
5 202119
6 202217
7 201216
8 202113
9 201112
10 202110
11 201610
12 20227
13 20177
14 20217
15 20186
16 20235
17 20225
18 20224
19 20224
20 20224

About Alejandro J. Estudillo

Alejandro J. Estudillo is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Social Psychology and Neurology, having authored 30 papers that have together received 290 indexed citations. Recurring topics across this work include Face Recognition and Perception (26 papers), Evolutionary Psychology and Human Behavior (16 papers), Face recognition and analysis (10 papers), Psychology of Moral and Emotional Judgment (6 papers), Memory Processes and Influences (4 papers), Visual perception and processing mechanisms (2 papers), Transcranial Magnetic Stimulation Studies (2 papers) and Cultural Differences and Values (2 papers). The work is most often cited by research in Cognitive Neuroscience (234 citations), Experimental and Cognitive Psychology (125 citations), Computer Vision and Pattern Recognition (113 citations), Human-Computer Interaction (18 citations) and Neurology (18 citations). Alejandro J. Estudillo has collaborated with scholars based in United Kingdom, Malaysia and Spain. Frequent co-authors include Markus Bindemann, David R. T. Keeble, Peter J. Hills, Ian D. Stephen, Edwin Burns, Neil Mennie, Javier García-Orza, Steve M. J. Janssen, Manuel Perea and José Miguel Rodríguez González-Moro. Their work appears in journals such as Scientific Reports, Consciousness and Cognition, Quarterly Journal of Experimental Psychology, Applied Cognitive Psychology and Cognitive Research Principles and Implications.

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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