Drew McDermott

10.3k citations
93 papers · 4.7k indexed · h-index 33
Topics
AI-based Problem Solving and Planning (30 papers)Logic, Reasoning, and Knowledge (29 papers)Semantic Web and Ontologies (22 papers)

In The Last Decade

Drew McDermott

91 papers receiving 4.1k citations

Peers

Drew McDermott
Comparison fields: 5 of 147
  • Artificial Intelligence 3.7k
  • Computer Networks and Communications 1.3k
  • Information Systems 583
  • Computational Theory and Mathematics 576
  • Signal Processing 344
Replace Ronald J. Brachman with:
Ronald J. Brachman United States
Hector J. Levesque Canada
Douglas B. Lenat United States
Kenneth D. Forbus United States
Raymond Reiter Canada
Jon Doyle United States
B. Chandrasekaran United States
John E. Laird United States
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Citations per field
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Citations per year

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
#WorkIndexed citations
1
Computationally Constrained Beliefs
0
2
Response to The Singularity by David Chalmers
5
3
POIROT: integrated learning of web service procedures
16
4 14
5
Local planning of ongoing activities
6
6
A heuristic estimator for means-ends analysis in planning
72
7
Robot planning
48
8
Robot planning
10
9 2
10
Default reasoning, nonmonotonic logics, and the frame problem
135
11
Directed Relations and Inversion of Prolog Programs.
9
12
Knowledge inversion
4
13
Data dependencies on inequalities
6
14
Under what conditions can a machine attribute meanings to symbols
1
15 478
16
ARBY: diagnosis with shallow causal models
21
17
An Introduction to Non-Monotonic Logic.
34
18 15
19 142
20
Vocabularies for problem solver state descriptions
7

About Drew McDermott

Drew McDermott is a scholar working on Artificial Intelligence, Software and Computational Theory and Mathematics, having authored 93 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) and Semantic Web and Ontologies (22 papers). The work is most often cited by research in Artificial Intelligence (3.7k citations), Computer Networks and Communications (1.3k citations) and Software (143 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, Katia Sycara, David Martín, Deborah L. McGuinness and Naveen Srinivasan. Their work appears in journals such as Nature, Bioinformatics and PLoS ONE.

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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