Cognitive Neuroscience

1.3M papers and 45.6M indexed citations i.

About

1.3M papers covering Cognitive Neuroscience have received a total of 45.6M indexed citations since 1950. Papers on subfields are most often about the specific topic of Neural dynamics and brain function, EEG and Brain-Computer Interfaces and Functional Brain Connectivity Studies and also cover the fields of Experimental and Cognitive Psychology, Cellular and Molecular Neuroscience and Developmental and Educational Psychology. Papers citing papers on subfields are usually about Cellular and Molecular Neuroscience, Experimental and Cognitive Psychology and Social Psychology. Some of the most active scholars covering Cognitive Neuroscience are Karl Friston, R. C. Oldfield, György Buzsáki, Chris Frith, Trevor W. Robbins, Joseph E. LeDoux, Olaf Sporns, Daniel L. Schacter, Larry R. Squire and Raymond J. Dolan.

In The Last Decade

Fields of papers citing papers about Cognitive Neuroscience

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers covering Cognitive Neuroscience. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers covering Cognitive Neuroscience.

Countries where authors publish papers about Cognitive Neuroscience

Since Specialization

Citations

This map shows the geographic impact of research in Cognitive Neuroscience. 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 about Cognitive Neuroscience with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cognitive Neuroscience 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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