John McDermott

9.6k citations
111 papers · 5.8k · 2 hit papers · h-index 32

Impact in

Papers in

    • AI-based Problem Solving and Planning 23
    • Security and Verification in Computing 17
    • Semantic Web and Ontologies 7
    • Software Engineering Research 11
    • Information and Cyber Security 7

John McDermott

106 papers receiving 4.8k citations

John McDermott's Hit Papers

R1: A rule-based configurer of computer systems 1982 · 573 citations
5730+15+30Years since publication4008001.2k

Peers

John McDermott
Comparison fields: 5 of 179
  • Software 360
  • Artificial Intelligence 2.6k
  • Developmental and Educational Psychology 791
  • Information Systems 1.2k
  • Signal Processing 456
Replace Frederick Hayes‐Roth with:
Frederick Hayes‐Roth United States
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John McDermott relative to Frederick Hayes‐Roth United States Frederick Hayes‐Roth's profile →
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 111 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 →
19801424
2
R1: A rule-based configurer of computer systems
Hit paper breakdown →
1982573
3 1980361
4 1994303
5 2003264
6 1994248
7 1985206
8 2001123
9 1984120
10 1986120
11 1989115
12 1987102
13
OPS: a domain-independent production system language
197797
14 198895
15
A personal learning apprentice
199292
16
MORE: an intelligent knowledge acquisition tool
198590
17
The Formative Years
198179
18 198574
19 198572
20 197870

About John McDermott

John McDermott is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Industrial and Manufacturing Engineering and Signal Processing, having authored 111 papers that have together received 5.8k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (23 papers), Security and Verification in Computing (17 papers), Software Engineering Research (11 papers), Distributed systems and fault tolerance (10 papers), Advanced Malware Detection Techniques (9 papers), Manufacturing Process and Optimization (8 papers), Semantic Web and Ontologies (7 papers) and Information and Cyber Security (7 papers). The work is most often cited by research in Software (360 citations), Artificial Intelligence (2.6k citations), Developmental and Educational Psychology (791 citations), Information Systems (1.2k citations) and Signal Processing (456 citations). John McDermott has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Herbert A. Simon, James Larkin, Chris Fox, Sandra Marcus, Gary Kahn, Jill H. Larkin, Carl E. Landwehr, William Choi, Charles L. Forgy and Wilson A. Harvey. Their work appears in journals such as AI Magazine, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of History, Artificial Intelligence and Communications of the ACM.

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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