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Edward A. Feigenbaum

Edward A. Feigenbaum

Stanford University
United States

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 43 6013 5796 1667 1542 161 11685

Edward A. Feigenbaum publications per year

The chart shows the history of publications by Edward A. Feigenbaum between 1959 and 2018, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Edward A. Feigenbaum published across 60 years, from 1959 to 2018, averaging 3.4 papers a year. Output peaked at 14 publications in 1970. 3 of the 206 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 1959 to 2018. Vertical axis: number of publications, 0 to 14. Peak 14 publications in 1970. 1959: 1 publication 1960: 1 publication 1961: 4 publications 1962: 3 publications 1963: 3 publications 1964: 4 publications 1965: 2 publications 1966: 0 publications 1967: 2 publications 1968: 2 publications 1969: 12 publications 1970: 14 publications 1971: 4 publications 1972: 2 publications 1973: 2 publications 1974: 3 publications 1975: 7 publications 1976: 6 publications 1977: 5 publications 1978: 4 publications 1979: 6 publications 1980: 14 publications 1981: 6 publications 1982: 6 publications 1983: 2 publications 1984: 11 publications 1985: 11 publications 1986: 4 publications 1987: 1 publication 1988: 8 publications 1989: 5 publications 1990: 3 publications 1991: 8 publications 1992: 1 publication 1993: 4 publications 1994: 4 publications 1995: 5 publications 1996: 2 publications 1997: 0 publications 1998: 2 publications 1999: 0 publications 2000: 1 publication 2001: 2 publications 2002: 0 publications 2003: 4 publications 2004: 0 publications 2005: 2 publications 2006: 4 publications 2007: 3 publications 2008: 0 publications 2009: 0 publications 2010: 0 publications 2011: 0 publications 2012: 3 publications 2013: 0 publications 2014: 0 publications 2015: 0 publications 2016: 0 publications 2017: 2 publications 2018: 1 publication
1959 2018

206 publications in total across all disciplines

View publications per year as a table
Edward A. Feigenbaum: publications per year, 1959 to 2018
Year Publications
1959 1
1960 1
1961 4
1962 3
1963 3
1964 4
1965 2
1966 0
1967 2
1968 2
1969 12
1970 14
1971 4
1972 2
1973 2
1974 3
1975 7
1976 6
1977 5
1978 4
1979 6
1980 14
1981 6
1982 6
1983 2
1984 11
1985 11
1986 4
1987 1
1988 8
1989 5
1990 3
1991 8
1992 1
1993 4
1994 4
1995 5
1996 2
1997 0
1998 2
1999 0
2000 1
2001 2
2002 0
2003 4
2004 0
2005 2
2006 4
2007 3
2008 0
2009 0
2010 0
2011 0
2012 3
2013 0
2014 0
2015 0
2016 0
2017 2
2018 1
Total 206
Download as CSV

Edward A. Feigenbaum publications per year - data summary

  • Edward A. Feigenbaum, a Engineering and Technology scholar from Stanford University, has 206 publications recorded across 60 years, from 1959 to 2018.
  • The oldest publication on record dates to 1959 and the most recent to 2018.
  • The most productive years are 1970 and 1980, with 14 publications each.
  • The least productive years with any output are 1959, 1960, 1987, 1992 and others, with 1 publication each.
  • 13 of the 60 years in the span carry no publications at all (1966, 1997, 1999, 2002 and others).
  • The rate of publication averages 3.4 papers per year over the whole span, or 4.4 per year counting only the 47 years with at least one publication.
  • The last 5 years on the chart (2014-2018) hold 3 publications, 1% of the career total.
  • Split into equal eras - 1959-1978: 81 publications (4.0 per year); 1979-1998: 103 publications (5.2 per year); 1999-2018: 22 publications (1.1 per year).
  • Comparing the opening and closing eras, the overall trend of publication is declining.

Edward A. Feigenbaum publication distribution in Engineering and Technology in 2026

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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 158–167 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

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.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415 161
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
Download as CSV

Edward A. Feigenbaum publication distribution in Engineering and Technology in 2026 - data summary

  • The chart plots the publication count of all 9,796 Engineering and Technology scientists ranked by Research.com in 2026, grouped into 78 ranges running from 38–47 to 804+ publications.
  • Edward A. Feigenbaum, a Engineering and Technology scholar from Stanford University, records 161 publications - the 32nd percentile of the discipline.
  • 32% of ranked Engineering and Technology scientists score the same or lower than Edward A. Feigenbaum, and about 68% score higher.
  • The median of the discipline falls in the 198–207 publications range, and Edward A. Feigenbaum ranks below the median.
  • The most crowded range is 148–157 publications, holding 457 scientists (5% of the field).
  • 61% of the field sits in the lowest quarter of the value range (up to 228–237 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 804 publications or more, 100 scientists in all (1% of the field).

Edward A. Feigenbaum D-index placement in Engineering and Technology in 2026

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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 43 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

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.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380 43
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

Edward A. Feigenbaum D-index placement in Engineering and Technology in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 9,796 Engineering and Technology scientists ranked by Research.com in 2026, grouped into 78 ranges running from 30 to 107+ D-Index.
  • Edward A. Feigenbaum, a Engineering and Technology scholar from Stanford University, records 43 D-Index - the 39th percentile of the discipline.
  • 39% of ranked Engineering and Technology scientists score the same or lower than Edward A. Feigenbaum, and about 61% score higher.
  • The median of the discipline falls in the 47 D-Index range, and Edward A. Feigenbaum ranks below the median.
  • The most crowded range is 42 D-Index, holding 426 scientists (4% of the field).
  • 57% of the field sits in the lowest quarter of the value range (up to 49 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 107 D-Index or more, 99 scientists in all (1% of the field).

Research.com Recognitions

  • 2007 - ACM Fellow For contributions to artificial intelligence.
  • 2006 - AAAI Distinguished Service Award For a lifetime of service to artificial intelligence as a tireless and effective champion of the field, including seminal contributions to the theory and practice of knowledge-based systems, coeditorship of the first major collection of AI papers, mentorship of numerous leading AI researchers, facilitation of the commercialization of AI technology, and service to the AI and computer science communities in many key leadership roles, including president of AAAI and chief scientist of the US Air Force
  • 2004 - AAAI Robert S. Engelmore Memorial Lecture Award For decades of technical, business, and government leadership in artificial intelligence, as well as pioneering research on knowledge-based systems.
  • 1994 - A. M. Turing Award For pioneering the design and construction of large scale artificial intelligence systems, demonstrating the practical importance and potential commercial impact of artificial intelligence technology.
  • 1994 - Fellow of the Indian National Academy of Engineering (INAE)
  • 1991 - Fellow of the American Academy of Arts and Sciences
  • 1990 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI)
  • 1986 - Member of the National Academy of Engineering For pioneering contributions to knowledge engineering and expert systems technology, and for leadership in education and technology of applied artificial intelligence.
  • 1983 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

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:

  • ACM Fellow (2007) for contributions to artificial intelligence.
  • AAAI Distinguished Service Award (2006) for lifetime service and leadership within the AI community and advancement of knowledge-based systems.
  • AAAI Robert S. Engelmore Memorial Lecture Award (2004) recognizing decades of technical, business, and government leadership in AI.
  • A. M. Turing Award (1994) for pioneering large-scale AI system design and demonstration of commercial viability of AI technologies.
  • Fellow of the Indian National Academy of Engineering (INAE) (1994).
  • Fellow of the American Academy of Arts and Sciences (1991).
  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) (1990).
  • Member of the National Academy of Engineering (1986) for contributions to knowledge engineering, expert systems technology, and leadership in AI education and application.
  • Fellow of the American Association for the Advancement of Science (AAAS) (1983).

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.

Best Publications

  • Computers and Thought

    Edward A. Feigenbaum;Julian Feldman

  • DENDRAL and Meta-DENDRAL: their applications dimension

    Bruce G. Buchanan;Edward A. Feigenbaum

  • Applications of Artificial Intelligence for Organic Chemistry: The DENDRAL Project

    Robert K. Lindsay;Bruce G. Buchanan;E. A. Feigenbaum;Joshua Lederberg

  • Knowledge engineering for medical decision making: A review of computer-based clinical decision aids

    E.H. Shortliffe;B.G. Buchanan;E.A. Feigenbaum

  • The Handbook of Artificial Intelligence

    Avron Barr;Edward A. Feigenbaum;Paul. R. Cohen

  • The Fifth Generation: Artificial Intelligence and Japan's Computer Challenge to the World

    Edward Feigenbaum;Pamela McCorduck

  • On generality and problem solving: a case study using the DENDRAL program

    Edward A. Feigenbaum;Bruce G. Buchanan;Joshua Lederberg

  • On the thresholds of knowledge

    Douglas B. Lenat;Edward A. Feigenbaum

  • DENDRAL: a case study of the first expert system for scientific hypothesis formation

    Robert K. Lindsay;Bruce G. Buchanan;Edward A. Feigenbaum

  • EPAM-like models of recognition and learning

    Edward A. Feigenbaum;Herbert A. Simon

  • The simulation of verbal learning behavior

    Edward A. Feigenbaum

  • Signal-to-Symbol Transformation: HASP/SIAP Case Study

    H. Penny Nii;Edward A. Feigenbaum;John J. Anton

  • Applications of artificial intelligence for chemical inference. I. Number of possible organic compounds. Acyclic structures containing carbon, hydrogen, oxygen, and nitrogen

    Joshua Lederberg;Georgia L. Sutherland;Bruce G. Buchanan;Edward A. Feigenbaum

  • Heuristic DENDRAL: A Program for Generating Explanatory Hypotheses in Organic Chemistry

    Bruce G. Buchanan;Georgia L. Sutherland;E. A. Feigenbaum

  • An information-processing theory of some effects of similarity, familiarization, and meaningfulness in verbal learning

    Herbert A. Simon;Herbert A. Simon;Edward A. Feigenbaum;Edward A. Feigenbaum

  • Representation of Knowledge

    Avron Barr;James Davidson;Edward A Feigenbaum

  • Some challenges and grand challenges for computational intelligence

    Edward A. Feigenbaum

  • Knowledge engineering: the applied side of artificial intelligence

    Edward A. Feigenbaum

  • Applications of artificial intelligence for chemical inference. 22. Automatic rule formation in mass spectrometry by means of the meta-DENDRAL program

    B. G. Buchanan;D. H. Smith;W. C. White;R. J. Gritter

  • Applications of artificial intelligence for chemical inference. II. Interpretation of low-resolution mass spectra of ketones

    Alan M. Duffield;Alexander V. Robertson;Carl Djerassi;Bruce G. Buchanan

  • The Handbook of Artificial Intelligence

    Stephen Wilson;Avron Barr;Paul R. Cohen;Edward A. Feigenbaum

Frequent Co-Authors

Bruce G. Buchanan
Bruce G. Buchanan University of Pittsburgh
Joshua Lederberg
Joshua Lederberg Rockefeller University
Carl Djerassi
Carl Djerassi Stanford University
Herbert A. Simon
Herbert A. Simon Carnegie Mellon University
John J. McCarthy
John J. McCarthy University of California, Irvine
Paul R. Cohen
Paul R. Cohen University of Pittsburgh
Douglas B. Lenat
Douglas B. Lenat Stanford University
Edward H. Shortliffe
Edward H. Shortliffe Columbia University
James G. March
James G. March Stanford University
Roger C. Schank
Roger C. Schank Socratic Arts

External Links

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