Drew McDermott

10.3k total citations
93 papers, 4.7k citations indexed

About

Drew McDermott is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Drew McDermott has authored 93 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 15 papers in Computer Networks and Communications and 12 papers in Computational Theory and Mathematics. Recurrent topics in Drew McDermott's work include AI-based Problem Solving and Planning (30 papers), Logic, Reasoning, and Knowledge (29 papers) and Semantic Web and Ontologies (22 papers). Drew McDermott is often cited by papers focused on AI-based Problem Solving and Planning (30 papers), Logic, Reasoning, and Knowledge (29 papers) and Semantic Web and Ontologies (22 papers). Drew McDermott collaborates with scholars based in United States, Canada and Germany. Drew McDermott's co-authors include Jon Doyle, Steve Hanks, Thomas Dean, Gerald Jay Sussman, Ernest Davis, Mark Burstein, Katia Sycara, David Martín, Deborah L. McGuinness and Naveen Srinivasan and has published in prestigious journals such as Nature, Bioinformatics and PLoS ONE.

In The Last Decade

Drew McDermott

91 papers receiving 4.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Drew McDermott United States 33 3.7k 1.3k 583 576 344 93 4.7k
Ronald J. Brachman United States 24 2.9k 0.8× 936 0.7× 706 1.2× 380 0.7× 365 1.1× 49 3.6k
Raymond Reiter Canada 32 6.1k 1.7× 1.2k 0.9× 772 1.3× 1.4k 2.3× 322 0.9× 61 7.2k
Douglas B. Lenat United States 20 3.3k 0.9× 584 0.4× 900 1.5× 324 0.6× 231 0.7× 53 4.5k
John W. Lloyd Australia 26 4.7k 1.3× 1.3k 1.0× 687 1.2× 2.0k 3.5× 449 1.3× 82 5.7k
Peter Wegner United States 24 2.1k 0.6× 1.1k 0.9× 1000 1.7× 873 1.5× 188 0.5× 134 3.6k
Patrick Brézillon France 18 2.3k 0.6× 600 0.5× 724 1.2× 792 1.4× 314 0.9× 98 4.3k
Alan Bundy United Kingdom 23 2.4k 0.7× 655 0.5× 621 1.1× 1.1k 1.9× 140 0.4× 206 3.6k
Hector J. Levesque Canada 40 7.2k 2.0× 1.8k 1.3× 631 1.1× 1.4k 2.4× 418 1.2× 148 8.7k
Bernhard Nebel Germany 34 3.6k 1.0× 1.6k 1.2× 344 0.6× 485 0.8× 403 1.2× 165 5.0k
Paolo Bouquet Italy 16 2.5k 0.7× 619 0.5× 750 1.3× 789 1.4× 341 1.0× 76 4.2k

Countries citing papers authored by Drew McDermott

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Drew McDermott

This figure shows the co-authorship network connecting the top 25 collaborators of Drew McDermott. A scholar is included among the top collaborators of Drew McDermott based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Drew McDermott. Drew McDermott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
McDermott, Drew. (2013). Computationally Constrained Beliefs. Journal of Consciousness Studies. 20.
2.
McDermott, Drew. (2012). Response to The Singularity by David Chalmers. Journal of Consciousness Studies. 19. 5 indexed citations
3.
Burstein, Mark, Robert Laddaga, David D. McDonald, et al.. (2008). POIROT: integrated learning of web service procedures. National Conference on Artificial Intelligence. 1274–1279. 16 indexed citations
4.
Burstein, Mark & Drew McDermott. (2005). Ontology translation for interoperability among semantic Web services. AI Magazine. 26(1). 71–82. 14 indexed citations
5.
Beetz, Michael & Drew McDermott. (1996). Local planning of ongoing activities. 19–26. 6 indexed citations
6.
McDermott, Drew. (1996). A heuristic estimator for means-ends analysis in planning. 142–149. 72 indexed citations
7.
McDermott, Drew. (1992). Robot planning. AI Magazine. 13(2). 55–79. 48 indexed citations
8.
McDermott, Drew. (1991). Robot planning. National Conference on Artificial Intelligence. 930–931. 10 indexed citations
9.
McDermott, Drew. (1989). Review of Logic Foundations of Artificial Intelligence. AI Magazine. 10(3). 103–105. 2 indexed citations
10.
Hanks, Steve & Drew McDermott. (1986). Default reasoning, nonmonotonic logics, and the frame problem. National Conference on Artificial Intelligence. 328–333. 135 indexed citations
11.
Shoham, Yoav & Drew McDermott. (1984). Directed Relations and Inversion of Prolog Programs.. Future Generation Computer Systems. 307–316. 9 indexed citations
12.
Shoham, Yoav & Drew McDermott. (1984). Knowledge inversion. National Conference on Artificial Intelligence. 295–299. 4 indexed citations
13.
McDermott, Drew. (1983). Data dependencies on inequalities. National Conference on Artificial Intelligence. 266–269. 6 indexed citations
14.
McDermott, Drew. (1983). Under what conditions can a machine attribute meanings to symbols. International Joint Conference on Artificial Intelligence. 44–44. 1 indexed citations
15.
McDermott, Drew. (1982). A temporal logic for reasoning about processes and plans. Cognitive Science. 6(2). 101–155. 478 indexed citations
16.
McDermott, Drew & Ruven Brooks. (1982). ARBY: diagnosis with shallow causal models. National Conference on Artificial Intelligence. 370–372. 21 indexed citations
17.
McDermott, Drew & Jon Doyle. (1979). An Introduction to Non-Monotonic Logic.. International Joint Conference on Artificial Intelligence. 562–567. 34 indexed citations
18.
McDermott, Drew. (1978). Planning and acting. Cognitive Science. 2(2). 71–109. 15 indexed citations
19.
McDermott, Drew. (1978). Planning and Acting*. Cognitive Science. 2(2). 71–100. 142 indexed citations
20.
McDermott, Drew. (1977). Vocabularies for problem solver state descriptions. International Joint Conference on Artificial Intelligence. 229–234. 7 indexed citations

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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