Computational Brain & Behavior

207 papers and 1.6k indexed citations
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About

The 207 papers published in Computational Brain & Behavior in the last decades have received a total of 1.6k indexed citations. Papers published in Computational Brain & Behavior usually cover Cognitive Neuroscience (101 papers), Artificial Intelligence (73 papers) and General Decision Sciences (47 papers) specifically the topics of Neural and Behavioral Psychology Studies (58 papers), Decision-Making and Behavioral Economics (47 papers) and Neural dynamics and brain function (36 papers). The most active scholars publishing in Computational Brain & Behavior are Danielle Navarro, Eric‐Jan Wagenmakers, Quentin F. Gronau, Olivia Guest, David Kellen, Joseph L. Austerweil, Jeffrey C. Zemla, Michael Lee, Mads L. Pedersen and Michael J. Frank.

In The Last Decade

Fields of papers published in Computational Brain & Behavior

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computational Brain & Behavior. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Computational Brain & Behavior.

Countries where authors publish in Computational Brain & Behavior

Since Specialization
Citations

This map shows the geographic impact of research published in Computational Brain & Behavior. 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 papers published in Computational Brain & Behavior with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computational Brain & Behavior more than expected).

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