David E. Wilkins

7.1k citations
169 papers · 4.4k · h-index 35

Impact in

  • Ecology top 2%
    • Microbial Community Ecology and Physiology
    • AI-based Problem Solving and Planning
    • Logic, Reasoning, and Knowledge
    • Multi-Agent Systems and Negotiation

Papers in

David E. Wilkins

144 papers receiving 4.0k citations

Peers

David E. Wilkins
Comparison fields: 5 of 197
  • Ecology 946
  • Artificial Intelligence 1.1k
  • Oceanography 326
  • Software 89
  • Environmental Chemistry 234
Replace Christine M. Anderson‐Cook with:
Christine M. Anderson‐Cook United States
Elizabeth A. Peck United States
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R. W. M. Wedderburn United States
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Citations per field
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Citations per year

Countries citing papers authored by David E. Wilkins

Since Specialization
Citations

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

Fields of papers citing papers by David E. Wilkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Wilkins. 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 David E. Wilkins. The network helps show where David E. Wilkins may publish in the future.

Co-authors

The 25 scholars most cited alongside David E. Wilkins, 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 David E. Wilkins Line = papers co-authored together David E. Wilkins links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Practical Planning: Extending the Classical AI Planning Paradigm
1988322
2 2012242
3 1984238
4 2012184
5 2010159
6 1998150
7 2014141
8 2017124
9 1995113
10 2013109
11 2013107
12 2012107
13 2015105
14 201697
15 201490
16 199074
17 200172
18 198572
19 200672
20 200766

About David E. Wilkins

David E. Wilkins is a scholar working on Artificial Intelligence, Political Science and International Relations, Molecular Biology, Ecology and Computer Networks and Communications, having authored 169 papers that have together received 4.4k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (25 papers), Logic, Reasoning, and Knowledge (16 papers), American Constitutional Law and Politics (14 papers), Microbial Community Ecology and Physiology (9 papers), Multi-Agent Systems and Negotiation (8 papers), Constraint Satisfaction and Optimization (8 papers), Semantic Web and Ontologies (8 papers) and Artificial Intelligence in Games (5 papers). The work is most often cited by research in Ecology (946 citations), Artificial Intelligence (1.1k citations), Oceanography (326 citations), Software (89 citations) and Environmental Chemistry (234 citations). David E. Wilkins has collaborated with scholars based in United States, Canada and Hong Kong. Frequent co-authors include Patrick K. H. Lee, Marcus H. Y. Leung, Ricardo Cavicchioli, Karen L. Myers, Federico M. Lauro, Matthew Z. DeMaere, Timothy J. Williams, Mark V. Brown, G. P. Raaphorst and Mark J. Raftery. Their work appears in journals such as Microbiome, Medical Physics, Artificial Intelligence, Publius The Journal of Federalism and Applied and Environmental Microbiology.

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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