John E. Laird
- Artificial Intelligence top 0.1%
- AI-based Problem Solving and Planning 88
- Reinforcement Learning in Robotics 33
- Logic, Reasoning, and Knowledge 25
- Multi-Agent Systems and Negotiation 21
- Artificial Intelligence in Games 21
- Semantic Web and Ontologies 14
- Speech and dialogue systems 12
- Cognitive Neuroscience top 2%
- Social Psychology top 2%
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- Computability, Logic, AI Algorithms 14
- Co-authors
- Paul S. RosenbloomAllen NewellMichael van LentPat LangleyRobert MarinierChristian LebièreRobert E. WrayScott B. Huffman
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
John E. Laird
163 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Artificial Intelligence 4.6k
- Developmental and Educational Psychology 494
- Cognitive Neuroscience 719
- Social Psychology 656
- Computer Vision and Pattern Recognition 595
Countries citing papers authored by John E. Laird
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).
Fields of papers citing papers by John E. Laird
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.
Co-authorship network
The 25 scholars most cited alongside John E. Laird, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2021 | 15 | |
| 3 | Empirical Evidence from Neuroimaging Data for a Standard Model of the Mind. | 2018 | 7 |
| 4 | 2016 | 2 | |
| 5 | Agent Requirements for Effective and Efficient Task-Oriented Dialog. | 2015 | 1 |
| 6 | 2009 | 15 | |
| 7 | Emotion-Driven Reinforcement Learning | 2008 | 29 |
| 8 | Extending cognitive architecture with episodic memory | 2007 | 59 |
| 9 | 2007 | 22 | |
| 10 | 2004 | 49 | |
| 11 | Comprehensive Working Memory Activation in Soar. | 2004 | 15 |
| 12 | Behavior bounding: toward effective comparisons of agents & humans | 2003 | 9 |
| 13 | Human-Level AI's Killer Application: Interactive Computer Games | 2000 | 190 |
| 14 | 2000 | 4 | |
| 15 | Modeling dual-task performance improvement: Casting executive process knowledge acquisition as strategy refinement. | 1998 | 10 |
| 16 | 1998 | 81 | |
| 17 | Compilation of non-contemporaneous constraints | 1996 | 5 |
| 18 | Generating Behavior in Response to Interacting Goals | 1994 | 2 |
| 19 | Overgeneralization during knowledge compilation in Soar | 1993 | 4 |
| 20 | Recovery from incorrect knowledge in Soar | 1988 | 7 |
About John E. Laird
John E. Laird is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering, having authored 178 papers that have together received 6.1k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (88 papers), Reinforcement Learning in Robotics (33 papers), Logic, Reasoning, and Knowledge (25 papers), Multi-Agent Systems and Negotiation (21 papers), Artificial Intelligence in Games (21 papers), Computability, Logic, AI Algorithms (14 papers), Semantic Web and Ontologies (14 papers) and Speech and dialogue systems (12 papers). The work is most often cited by research in Artificial Intelligence (4.6k citations), Developmental and Educational Psychology (494 citations) and Cognitive Neuroscience (719 citations). John E. Laird has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Paul S. Rosenbloom, Allen Newell, Michael van Lent, Pat Langley, Robert Marinier, Christian Lebière, Robert E. Wray, Scott B. Huffman, Shiwali Mohan and James R. Kirk. Their work appears in journals such as AI Magazine, Cognitive Systems Research, Cognitive Science, Machine Learning and Artificial Intelligence.
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.