John E. Laird

126 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 126 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, Robert E. Wray, Shiwali Mohan and Randolph M. Jones 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

Fields of papers citing papers by John E. Laird

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by John E. Laird. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025