Drew McDermott
Impact in
- Artificial Intelligence top 0.2%
- Logic, Reasoning, and Knowledge
- AI-based Problem Solving and Planning
- Semantic Web and Ontologies
- Multi-Agent Systems and Negotiation
- Logic, programming, and type systems
-
- Constraint Satisfaction and Optimization
Papers in
-
- AI-based Problem Solving and Planning 30
- Logic, Reasoning, and Knowledge 29
- Semantic Web and Ontologies 22
- Logic, programming, and type systems 7
- Multi-Agent Systems and Negotiation 4
-
- Constraint Satisfaction and Optimization 8
- Co-authors
- Jon Doyle (2 shared papers)Steve Hanks (3 shared papers)Thomas Dean (1 shared paper)Gerald Jay Sussman (3 shared papers)Ernest Davis (1 shared paper)Mark Burstein (7 shared papers)Massimo Paolucci (1 shared paper)David Martín (1 shared paper)
- Journals
- Artificial Intelligence (12 papers)Cognitive Science (6 papers)AI Magazine (4 papers)Behavioral and Brain Sciences (4 papers)Journal of Consciousness Studies (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Drew McDermott
92 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 147
- Artificial Intelligence 3.7k
- Computer Networks and Communications 1.3k
- Software 144
- Computational Theory and Mathematics 573
- Signal Processing 336
Countries citing papers authored by Drew McDermott
This map shows the geographic impact of Drew 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 Drew McDermott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Drew McDermott more than expected).
Fields of papers citing papers by Drew McDermott
This network shows the impact of papers produced by Drew 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 Drew McDermott. The network helps show where Drew McDermott may publish in the future.
Co-authors
The 25 scholars most cited alongside Drew McDermott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 481 | |
| 2 | 1982 | 477 | |
| 3 | 1982 | 302 | |
| 4 | 2007 | 294 | |
| 5 | 1987 | 285 | |
| 6 | 1987 | 252 | |
| 7 | 1982 | 224 | |
| 8 | 1987 | 218 | |
| 9 | 1976 | 183 | |
| 10 | 1978 | 142 | |
| 11 | Default reasoning, nonmonotonic logics, and the frame problem | 1986 | 135 |
| 12 | Estimated-regression planning for interactions with web services | 2002 | 114 |
| 13 | 1984 | 113 | |
| 14 | The Conniver Reference Manual | 1972 | 93 |
| 15 | 1972 | 91 | |
| 16 | A heuristic estimator for means-ends analysis in planning | 1996 | 72 |
| 17 | 2006 | 65 | |
| 18 | 1999 | 65 | |
| 19 | 2007 | 57 | |
| 20 | 2003 | 54 |
About Drew McDermott
Drew McDermott is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Information Systems and Computer Vision and Pattern Recognition, having authored 94 papers that have together received 4.7k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (30 papers), Logic, Reasoning, and Knowledge (29 papers), Semantic Web and Ontologies (22 papers), Constraint Satisfaction and Optimization (8 papers), Logic, programming, and type systems (7 papers), Service-Oriented Architecture and Web Services (6 papers), Computability, Logic, AI Algorithms (6 papers) and Multi-Agent Systems and Negotiation (4 papers). The work is most often cited by research in Artificial Intelligence (3.7k citations), Computer Networks and Communications (1.3k citations), Software (144 citations), Computational Theory and Mathematics (573 citations) and Signal Processing (336 citations). Drew McDermott has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Jon Doyle, Steve Hanks, Thomas Dean, Gerald Jay Sussman, Ernest Davis, Mark Burstein, Massimo Paolucci, David Martín, Sheila A. McIlraith and Katia Sycara. Their work appears in journals such as Artificial Intelligence, Cognitive Science, AI Magazine, Behavioral and Brain Sciences and Journal of Consciousness Studies.
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.