Doug Lenat
Impact in
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Topic Modeling
- AI-based Problem Solving and Planning
- Logic, Reasoning, and Knowledge
- Advanced Text Analysis Techniques
- Information Systems top 10%
- Service-Oriented Architecture and Web Services
Papers in
-
- Semantic Web and Ontologies 6
- Natural Language Processing Techniques 4
- Topic Modeling 3
-
- Software System Performance and Reliability 1
- Co-authors
- Mayank Prakash (1 shared paper)George Miller (1 shared paper)Cynthia Matuszek (2 shared papers)Michael Witbrock (2 shared papers)John Cabral (1 shared paper)Chimezie Ogbuji (1 shared paper)David E. Booth (1 shared paper)Christopher Pierce (1 shared paper)
- Journals
- Communications of the ACM (1 paper)AI Magazine (1 paper)Current Bioinformatics (1 paper)ACM SIGART Bulletin (1 paper)VU Research Portal (1 paper)
- Partner nations
- South AfricaUnited States
In The Last Decade
Doug Lenat
11 papers receiving 308 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 312
- Information Systems 80
- Signal Processing 26
- Software 9
- Information Systems and Management 16
Countries citing papers authored by Doug Lenat
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 177 | |
| 2 | 2005 | 73 | |
| 3 | The Dimensions of Context-Space | 1998 | 72 |
| 4 | 1995 | 38 | |
| 5 | 2005 | 17 | |
| 6 | 2012 | 11 | |
| 7 | Commonsense knowledge : papers from the AAAI Fall Symposium | 2010 | 4 |
| 8 | Problems of Scale in Building, Maintaining and Using Very Large Formal Ontologies | 2006 | 1 |
| 9 | Large-scale Knowledge Representation Resources for Cognitive Science Research | 2004 | 1 |
| 10 | 1982 | 1 | |
| 11 | Preface : Combining machine learning with knowledge engineering (AAAI-Make 2019) | 2019 | 1 |
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 396 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 Engineering and Design Patterns (1 paper), Software Engineering Research (1 paper), Scientific Computing and Data Management (1 paper) and Software System Performance and Reliability (1 paper). The work is most often cited by research in Artificial Intelligence (312 citations), Information Systems (80 citations), Signal Processing (26 citations), Software (9 citations) and Information Systems and Management (16 citations). Doug Lenat has collaborated with scholars based in South Africa and United States. Frequent co-authors include Mayank Prakash, George Miller, Cynthia Matuszek, Michael Witbrock, John Cabral, Chimezie Ogbuji, David E. Booth, Christopher Pierce, Eugene H. Blackstone and Benjamin Van Durme. Their work appears in journals such as Communications of the ACM, AI Magazine, Current Bioinformatics, ACM SIGART Bulletin 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.