John McDermott

9.7k citations
128 papers · 7.4k · 2 hit papers · h-index 34

Impact in

Papers in

John McDermott

121 papers receiving 6.1k citations

John McDermott's Hit Papers

R1: A rule-based configurer of computer systems 1982 · 725 citations
7250+15+30Years since publication50010001.5k

Peers

John McDermott
Comparison fields: 5 of 180
  • Software 471
  • Artificial Intelligence 3.6k
  • Developmental and Educational Psychology 937
  • Information Systems 1.6k
  • Family Practice 98
Replace Janet L. Kolodner with:
Janet L. Kolodner United States
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Citations per field
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Citations per year

Countries citing papers authored by John McDermott

Since Specialization
Citations

This map shows the geographic impact of John McDermott'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 McDermott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John McDermott more than expected).

Fields of papers citing papers by John McDermott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John McDermott. 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 McDermott. The network helps show where John McDermott may publish in the future.

Co-authors

The 25 scholars most cited alongside John McDermott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John McDermott Line = papers co-authored together John McDermott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Expert and Novice Performance in Solving Physics Problems
Hit paper breakdown →
19801675
2
R1: A rule-based configurer of computer systems
Hit paper breakdown →
1982725
3 1980427
4 1994351
5 2003322
6 1994318
7 1985254
8 1988212
9 1986182
10 1989152
11 1984151
12 2001149
13 1988124
14 1987121
15
A personal learning apprentice
1992120
16
OPS: a domain-independent production system language
1977118
17
MORE: an intelligent knowledge acquisition tool
1985104
18 1978102
19 199195
20
The Formative Years
198189

About John McDermott

John McDermott is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing and Industrial and Manufacturing Engineering, having authored 128 papers that have together received 7.4k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (25 papers), Security and Verification in Computing (19 papers), Software Engineering Research (12 papers), Advanced Malware Detection Techniques (11 papers), Distributed systems and fault tolerance (11 papers), Semantic Web and Ontologies (9 papers), Manufacturing Process and Optimization (8 papers) and Access Control and Trust (7 papers). The work is most often cited by research in Software (471 citations), Artificial Intelligence (3.6k citations), Developmental and Educational Psychology (937 citations), Information Systems (1.6k citations) and Family Practice (98 citations). John McDermott has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Herbert A. Simon, Chris Fox, Gary Kahn, Sandra Marcus, Jill H. Larkin, Charles L. Forgy, Tom M. Mitchell, Carl E. Landwehr, William Choi and David M. McKeown. Their work appears in journals such as AI Magazine, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of History, Communications of the ACM 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.

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