Learning & Behavior

782 papers and 12.4k indexed citations i.

About

The 782 papers published in Learning & Behavior in the last decades have received a total of 12.4k indexed citations. Papers published in Learning & Behavior usually cover Cognitive Neuroscience (384 papers), Developmental and Educational Psychology (293 papers) and Social Psychology (229 papers) specifically the topics of Memory and Neural Mechanisms (284 papers), Behavioral and Psychological Studies (175 papers) and Child and Animal Learning Development (148 papers). The most active scholars publishing in Learning & Behavior are Kevin N. Laland, Andrea S. Griffin, Mark E. Bouton, Ralph R. Miller, Robert A. Rescorla, Thomas R. Zentall, Linda A. Parker, Peter J. Urcuioli, Timothy A. Shahan and John K. Kruschke.

In The Last Decade

Fields of papers published in Learning & Behavior

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Learning & 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 Learning & Behavior.

Countries where authors publish in Learning & Behavior

Since Specialization
Citations

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