John E. Laird

125 papers and 3.8k indexed citations i.

About

John E. Laird is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, John E. Laird has authored 125 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 14 papers in Computational Theory and Mathematics. Recurrent topics in John E. Laird’s work include AI-based Problem Solving and Planning (74 papers), Logic, Reasoning, and Knowledge (24 papers) and Reinforcement Learning in Robotics (22 papers). John E. Laird is often cited by papers focused on AI-based Problem Solving and Planning (74 papers), Logic, Reasoning, and Knowledge (24 papers) and Reinforcement Learning in Robotics (22 papers). John E. Laird collaborates with scholars based in United States, United Kingdom and Australia. John E. Laird's co-authors include Paul S. Rosenbloom, Allen Newell, Pat Langley, Michael van Lent, Randolph M. Jones, Christian Lebière, Robert Marinier, Paul E. Nielsen, Frank V. Koss and Shiwali Mohan and has published in prestigious journals such as NeuroImage, IEEE Transactions on Pattern Analysis and Machine Intelligence and Medicine & Science in Sports & Exercise.

In The Last Decade

Co-authorship network of co-authors of John E. Laird i

Fields of papers citing papers by John E. Laird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. 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 John E. Laird. The network helps show where John E. Laird may publish in the future.

Countries citing papers authored by John E. Laird

Since Specialization
Citations

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