C. Mónica Capra

79 total papers · 2.2k total citations
46 papers, 1.4k citations indexed

About

C. Mónica Capra is a scholar working on Safety Research, General Decision Sciences and Cognitive Neuroscience. According to data from OpenAlex, C. Mónica Capra has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Safety Research, 17 papers in General Decision Sciences and 13 papers in Cognitive Neuroscience. Recurrent topics in C. Mónica Capra's work include Experimental Behavioral Economics Studies (18 papers), Decision-Making and Behavioral Economics (17 papers) and Neural and Behavioral Psychology Studies (8 papers). C. Mónica Capra is often cited by papers focused on Experimental Behavioral Economics Studies (18 papers), Decision-Making and Behavioral Economics (17 papers) and Neural and Behavioral Psychology Studies (8 papers). C. Mónica Capra collaborates with scholars based in United States, Spain and Netherlands. C. Mónica Capra's co-authors include Gregory S. Berns, Sara Moore, Charles Noussair, Charles A. Holt, Jan B. Engelmann, Jacob K. Goeree, Andrew M. Brooks, V. S. Chandrasekhar Pammi, Scott Atran and Jeremy Ginges and has published in prestigious journals such as American Economic Review, PLoS ONE and NeuroImage.

In The Last Decade

C. Mónica Capra

42 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
C. Mónica Capra 543 425 346 323 214 46 1.4k
Giorgio Coricelli 803 1.5× 450 1.1× 405 1.2× 302 0.9× 272 1.3× 38 1.7k
Yaakov Kareev 320 0.6× 272 0.6× 520 1.5× 246 0.8× 221 1.0× 57 1.3k
Agnieszka Tymula 345 0.6× 230 0.5× 425 1.2× 126 0.4× 207 1.0× 47 1.1k
Alexander Peysakhovich 414 0.8× 868 2.0× 226 0.7× 931 2.9× 153 0.7× 35 1.6k
Kurt A. Ackermann 314 0.6× 718 1.7× 213 0.6× 738 2.3× 161 0.8× 21 1.5k
David G. Rand 275 0.5× 536 1.3× 133 0.4× 495 1.5× 88 0.4× 30 1.1k
Camelia M. Kuhnen 259 0.5× 244 0.6× 312 0.9× 137 0.4× 592 2.8× 42 1.7k
Detlef Fetchenhauer 453 0.8× 460 1.1× 168 0.5× 741 2.3× 98 0.5× 47 1.3k
Joseph Tao‐yi Wang 314 0.6× 498 1.2× 175 0.5× 262 0.8× 177 0.8× 23 1.3k
Michael Schulte‐Mecklenbeck 384 0.7× 157 0.4× 519 1.5× 247 0.8× 257 1.2× 36 1.5k

Countries citing papers authored by C. Mónica Capra

Since Specialization
Citations

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

Fields of papers citing papers by C. Mónica Capra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Mónica Capra. 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 C. Mónica Capra. The network helps show where C. Mónica Capra may publish in the future.

Co-authorship network of co-authors of C. Mónica Capra

This figure shows the co-authorship network connecting the top 25 collaborators of C. Mónica Capra. A scholar is included among the top collaborators of C. Mónica Capra 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 C. Mónica Capra. C. Mónica Capra 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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2026