James D. Laird

4.2k total citations
79 papers, 2.5k citations indexed

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 79 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 24 papers in Social Psychology and 19 papers in Computational Theory and Mathematics. Recurrent topics in James D. Laird's work include Logic, programming, and type systems (23 papers), Logic, Reasoning, and Knowledge (20 papers) and Emotions and Moral Behavior (17 papers). James D. Laird is often cited by papers focused on Logic, programming, and type systems (23 papers), Logic, Reasoning, and Knowledge (20 papers) and Emotions and Moral Behavior (17 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, Emory L. Cowen, Melvin Zax, Ronald Comer, James E. Lewis and Steven Berglas and has published in prestigious journals such as Journal of Personality and Social Psychology, SHILAP Revista de lepidopterología and Child Development.

In The Last Decade

James D. Laird

73 papers receiving 2.1k citations

Peers

James D. Laird
Comparison fields: 5 of 116
  • Social Psychology 1.1k
  • Cognitive Neuroscience 936
  • Experimental and Cognitive Psychology 771
  • Clinical Psychology 524
  • Sociology and Political Science 418
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Citations per field, relative to James D. Laird
James D. Laird · 1×
Citations per year, relative to James D. Laird
James D. Laird · 1×

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of James D. Laird. A scholar is included among the top collaborators of James D. Laird based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James D. Laird. James D. Laird is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 13
5
A fully abstract trace semantics for general
12
6
On the Expressiveness of Affine Programs with Non-local Control: The Elimination of Nesting in SPCF
2
7 16
8 0
9
A game semantics of higher-order concurrency
2
10
The Evolutionary Foundation of Perceiving One's Own Emotions
2
11 8
12
Sequentiality in Bounded Biorders
1
13 45
14
Emotions in psychopathology : theory and research
62
15 22
16 1
17 65
18 5
19 5
20 47

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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