Thinking & Reasoning

About

The 586 papers published in Thinking & Reasoning in the last decades have received a total of 15.2k indexed citations. Papers published in Thinking & Reasoning usually cover General Decision Sciences (272 papers), Artificial Intelligence (189 papers) and Developmental and Educational Psychology (181 papers) specifically the topics of Decision-Making and Behavioral Economics (272 papers), Child and Animal Learning Development (141 papers) and Psychology of Moral and Emotional Judgment (73 papers). The most active scholars publishing in Thinking & Reasoning are Jonathan St. B. T. Evans, Keith E. Stanovich, Richard F. West, Wim De Neys, David E. Over, Maggie E. Toplak, Jonathan Baron, K. J. Gilhooly, Mike Oaksford and Walter Schaeken.

In The Last Decade

Thinking & Reasoning

561 papers receiving 14.1k citations

Countries where authors publish in Thinking & Reasoning

Since Specialization
Citations

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

Fields of papers published in Thinking & Reasoning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Thinking & Reasoning. 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 Thinking & Reasoning.

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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