Topics in Cognitive Science

790 papers and 22.1k indexed citations
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About

The 790 papers published in Topics in Cognitive Science in the last decades have received a total of 22.1k indexed citations. Papers published in Topics in Cognitive Science usually cover Cognitive Neuroscience (291 papers), Artificial Intelligence (226 papers) and Developmental and Educational Psychology (212 papers) specifically the topics of Child and Animal Learning Development (118 papers), Language and cultural evolution (103 papers) and Language, Metaphor, and Cognition (92 papers). The most active scholars publishing in Topics in Cognitive Science are T. H. Michelene, Gerd Gigerenzer, Lawrence W. Barsalou, Henry Brighton, Edwin Hutchins, Michael Tomasello, Amanda M. Seed, Max M. Louwerse, Morten H. Christiansen and Mary Hegarty.

In The Last Decade

Topics in Cognitive Science

749 papers receiving 20.5k citations

Fields of papers published in Topics in Cognitive Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Topics in Cognitive Science. 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 Topics in Cognitive Science.

Countries where authors publish in Topics in Cognitive Science

Since Specialization
Citations

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