The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where John E. Laird sits on this spectrum.
This scientist: 249 publications — 62nd percentile
62% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where John E. Laird sits on this spectrum.
This scientist: 59 D-Index — 77th percentile
77% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
John E. Laird is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily falls within the field of Computer Science, with a strong focus on Artificial Intelligence. Other subfields contributing to their work include Cognitive Neuroscience, General Health Professions, Computer Vision and Pattern Recognition, and Information Systems.
The scientist's research covers various topics such as AI-based Problem Solving and Planning, Topic Modeling, Natural Language Processing Techniques, Multi-Agent Systems and Negotiation, Semantic Web and Ontologies, Speech and Dialogue Systems, and Multimodal Machine Learning Applications.
Frequent coauthors collaborating with John E. Laird include Robert E. Wray, James R. Kirk, Steven J. Jones, Peter Lindes, and Christian Lebière.
Key publication venues where their work appears regularly are:
Selected recent papers by John E. Laird include:
John E. Laird has been recognized as a fellow of multiple professional organizations. These include the American Association for the Advancement of Science (AAAS) since 2011, the ACM Fellow in 2006 for contributions to cognitive architectures, and the Association for the Advancement of Artificial Intelligence (AAAI) since 1995 for work in machine learning, integrated architectures for intelligence, and unified theories of cognition.
J. E. Laird;A. Newell;P. S. Rosenbloom
John E. Laird
Pat Langley;John E. Laird;Seth Rogers
John E. Laird;Paul S. Rosenbloom;Allen Newell
John Laird;Michael VanLent
John E. Laird
John E. Laird;Michael van Lent
Randolph M. Jones;John E. Laird;Paul E. Nielsen;Karen J. Coulter
Milind Tambe;W. Lewis Johnson;Randolph M. Jones;Frank V. Koss
John E. Laird;Christian Lebiere;Paul S. Rosenbloom
Allen Newell;Paul S. Rosenbloom;John E. Laird
J. E. Laird;P. S. Rosenbloom
Paul S. Rosenbloom;John Laird;Allen Newell
John E. Laird
John Laird;Paul Rosenbloom;Allen Newell
Paul S. Rosenbloom;John E. Laird;Allen Newell;Robert McCarl
J.E. Laird
Jill F. Lehman;John Laird;Paul Rosenbloom
John Laird;Paul Rosenbloom;Allen Newell
Brian Magerko;John E. Laird;Mazin Assanie;Alex Kerfoot
Paul S. Rosenbloom;Allen Newell;John E. Laird
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science in the USA opens doors to many other in-demand fields and academic tracks. For students interested in boosting their career prospects, it's wise to look at the top degrees for the future. These fields often pair well with Computer Science or provide a strong alternative path.
If you’re considering graduate study but are also mindful of workload, exploring an easy masters degree could be a smart move. These programs offer a faster route to a higher qualification without the intense time requirements of more technical fields.
For those aiming for doctoral qualifications or academic leadership positions, pursuing one of the most affordable online doctoral programs is a practical option. These cost-effective programs help minimize student debt while maximizing academic achievement. Alternatively, educators seeking speed and value can choose from the cheapest online edd programs, designed to fast-track professional advancement.
Whether you're planning to advance in tech, education, or another sector, understanding related online degrees and career pathways will help you make an informed decision about your academic future.
University of Nottingham
King's College London
Lawrence Berkeley National Laboratory
Nagoya City University
Texas A&M University
Chinese Academy of Sciences
University of Maryland, College Park
University of Urbino
National Research Council (CNR)
University of North Carolina at Chapel Hill
University of Iowa
Chinese Academy of Sciences
Chinese Academy of Sciences
Seoul National University of Science and Technology
University of Michigan–Ann Arbor
Kyoto Prefectural University of Medicine
