Doug Lenat

676 citations
11 papers · 503 · h-index 7

Impact in

    • Semantic Web and Ontologies
    • Natural Language Processing Techniques
    • Topic Modeling
    • AI-based Problem Solving and Planning
    • Logic, Reasoning, and Knowledge
    • Multi-Agent Systems and Negotiation
    • Service-Oriented Architecture and Web Services

Papers in

Doug Lenat

11 papers receiving 405 citations

Peers

Doug Lenat
Comparison fields: 5 of 53
  • Artificial Intelligence 391
  • Information Systems 102
  • Software 12
  • Information Systems and Management 20
  • Computer Networks and Communications 64
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Citations per field
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Citations per year

Countries citing papers authored by Doug Lenat

Since Specialization
Citations

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

Fields of papers citing papers by Doug Lenat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Doug Lenat. 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 Doug Lenat. The network helps show where Doug Lenat may publish in the future.

Co-authors

The 21 scholars most cited alongside Doug Lenat, 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 Doug Lenat Line = papers co-authored together Doug Lenat links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1986224
2
The Dimensions of Context-Space
1998104
3 200587
4 199545
5 200519
6 201213
7
Commonsense knowledge : papers from the AAAI Fall Symposium
20107
8
Large-scale Knowledge Representation Resources for Cognitive Science Research
20041
9
Problems of Scale in Building, Maintaining and Using Very Large Formal Ontologies
20061
10 19821
11
Preface : Combining machine learning with knowledge engineering (AAAI-Make 2019)
20191

About Doug Lenat

Doug Lenat is a scholar working on Artificial Intelligence, Computer Networks and Communications, Molecular Biology, Information Systems and Information Systems and Management, having authored 11 papers that have together received 503 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (6 papers), Natural Language Processing Techniques (4 papers), Topic Modeling (3 papers), Biomedical Text Mining and Ontologies (2 papers), Software System Performance and Reliability (1 paper), Scientific Computing and Data Management (1 paper), AI-based Problem Solving and Planning (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Artificial Intelligence (391 citations), Information Systems (102 citations), Software (12 citations), Information Systems and Management (20 citations) and Computer Networks and Communications (64 citations). Doug Lenat has collaborated with scholars based in United States and South Africa. Frequent co-authors include Mayank Prakash, George Miller, Cynthia Matuszek, Michael Witbrock, John Cabral, Christopher Pierce, Catherine Havasi, Eugene H. Blackstone, David E. Booth and Chimezie Ogbuji. Their work appears in journals such as Communications of the ACM, AI Magazine, Current Bioinformatics, Maryland Shared Open Access Repository (USMAI Consortium) and VU Research Portal.

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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