The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Edward A. Feigenbaum sits on this spectrum.
This scientist: 161 publications — 32nd percentile
32% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Edward A. Feigenbaum sits on this spectrum.
This scientist: 43 D-Index — 39th percentile
39% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
Edward A. Feigenbaum is affiliated with Stanford University in the United States. Their career includes extensive involvement in the development and application of artificial intelligence (AI), with a particular focus on knowledge-based systems and expert systems technology.
Their work has contributed to the design and construction of large-scale AI systems, highlighting the practical potential and commercial impact of AI technologies. This focus on applied AI has positioned Feigenbaum as a figure engaged in bridging theoretical AI research with real-world implementations.
Throughout their career, Feigenbaum has attained several recognitions acknowledging contributions to the field of artificial intelligence and computer science. These awards include:
Feigenbaum's recognition by multiple prestigious academies and professional organizations reflects a broad engagement with both the technical evolution and organizational advancement of AI research. This includes roles such as serving as president of AAAI and chief scientist of the US Air Force, indicating involvement in leadership and policy dimensions of AI.
Although specific titles and publication data for recent papers, co-authors, publication venues, and books are not available, Feigenbaum's profile is characterized by foundational work in the main fields of artificial intelligence, with a strong emphasis on knowledge-based systems as a subfield.
The subject's career exemplifies contributions to AI in both research and practical, commercial contexts, supported by a record of awards documenting expertise in technology innovation, leadership, and service to the academic and applied science communities.
Edward A. Feigenbaum;Julian Feldman
Bruce G. Buchanan;Edward A. Feigenbaum
Robert K. Lindsay;Bruce G. Buchanan;E. A. Feigenbaum;Joshua Lederberg
E.H. Shortliffe;B.G. Buchanan;E.A. Feigenbaum
Avron Barr;Edward A. Feigenbaum;Paul. R. Cohen
Edward Feigenbaum;Pamela McCorduck
Edward A. Feigenbaum;Bruce G. Buchanan;Joshua Lederberg
Douglas B. Lenat;Edward A. Feigenbaum
Robert K. Lindsay;Bruce G. Buchanan;Edward A. Feigenbaum
Edward A. Feigenbaum;Herbert A. Simon
Edward A. Feigenbaum
H. Penny Nii;Edward A. Feigenbaum;John J. Anton
Joshua Lederberg;Georgia L. Sutherland;Bruce G. Buchanan;Edward A. Feigenbaum
Bruce G. Buchanan;Georgia L. Sutherland;E. A. Feigenbaum
Herbert A. Simon;Herbert A. Simon;Edward A. Feigenbaum;Edward A. Feigenbaum
Avron Barr;James Davidson;Edward A Feigenbaum
Edward A. Feigenbaum
Edward A. Feigenbaum
B. G. Buchanan;D. H. Smith;W. C. White;R. J. Gritter
Alan M. Duffield;Alexander V. Robertson;Carl Djerassi;Bruce G. Buchanan
Stephen Wilson;Avron Barr;Paul R. Cohen;Edward A. Feigenbaum
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