James D. Laird

69 papers and 2.1k indexed citations i.

About

James D. Laird is a scholar working on Artificial Intelligence, Social Psychology and Computational Theory and Mathematics. According to data from OpenAlex, James D. Laird has authored 69 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 22 papers in Social Psychology and 18 papers in Computational Theory and Mathematics. Recurrent topics in James D. Laird’s work include Logic, programming, and type systems (21 papers), Logic, Reasoning, and Knowledge (17 papers) and Emotions and Moral Behavior (16 papers). James D. Laird is often cited by papers focused on Logic, programming, and type systems (21 papers), Logic, Reasoning, and Knowledge (17 papers) and Emotions and Moral Behavior (16 papers). James D. Laird collaborates with scholars based in United States, United Kingdom and France. James D. Laird's co-authors include William F. Flack, Eric C. Schneider, Johannes Wagener, Simone Schnall, Katherine Lacasse, Melvin Zax, Emory L. Cowen, Ronald Comer, Steven Berglas and James E. Lewis and has published in prestigious journals such as Journal of Personality and Social Psychology, Child Development and Journal of Consulting and Clinical Psychology.

In The Last Decade

Co-authorship network of co-authors of James D. Laird i

Fields of papers citing papers by James D. Laird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James D. Laird. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James D. Laird. The network helps show where James D. Laird may publish in the future.

Countries citing papers authored by James D. Laird

Since Specialization
Citations

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