Robert T. Moore
Impact in
- Ecological Modeling top 10%
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Multi-Agent Systems and Negotiation
- Semantic Web and Ontologies
Papers in
-
- Natural Language Processing Techniques 15
- Topic Modeling 10
- Speech and dialogue systems 7
-
- Advanced Operator Algebra Research 6
- Co-authors
- Robin M. Hochstrasser (5 shared papers)John Dowding (6 shared papers)Edwin J. Heilweil (4 shared papers)Fuad E. Doany (3 shared papers)Ludlow Griscom (1 shared paper)Herbert Friedmann (1 shared paper)Jean Mark Gawron (3 shared papers)John Bear (3 shared papers)
- Journals
- Bulletin of the American Mathematical Society (6 papers)Ornithological Applications (4 papers)The Journal of Chemical Physics (2 papers)eNeuro (1 paper)Economic Inquiry (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Robert T. Moore
52 papers receiving 911 citations
Peers
Comparison fields: 5 of 116
- Ecological Modeling 67
- Artificial Intelligence 469
- Mathematical Physics 116
- Algebra and Number Theory 52
- Physical and Theoretical Chemistry 93
Countries citing papers authored by Robert T. Moore
This map shows the geographic impact of Robert T. Moore'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 Robert T. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert T. Moore more than expected).
Fields of papers citing papers by Robert T. Moore
This network shows the impact of papers produced by Robert T. Moore. 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 Robert T. Moore. The network helps show where Robert T. Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert T. Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1951 | 152 | |
| 2 | 1982 | 94 | |
| 3 | 1993 | 86 | |
| 4 | Possible-world semantics for autoepistemic logic | 1987 | 60 |
| 5 | 1999 | 58 | |
| 6 | 2008 | 57 | |
| 7 | 1993 | 55 | |
| 8 | 1984 | 49 | |
| 9 | 1987 | 40 | |
| 10 | 1984 | 39 | |
| 11 | 1991 | 37 | |
| 12 | 1968 | 35 | |
| 13 | 1994 | 26 | |
| 14 | 1969 | 26 | |
| 15 | 1983 | 23 | |
| 16 | 1989 | 17 | |
| 17 | 1982 | 16 | |
| 18 | 1991 | 16 | |
| 19 | 1959 | 15 | |
| 20 | 2022 | 15 |
About Robert T. Moore
Robert T. Moore is a scholar working on Artificial Intelligence, Mathematical Physics, Computational Theory and Mathematics, Computer Networks and Communications and Ecology, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (15 papers), Topic Modeling (10 papers), Speech and dialogue systems (7 papers), Advanced Operator Algebra Research (6 papers), Matrix Theory and Algorithms (5 papers), Advanced Topics in Algebra (4 papers), Spectroscopy and Quantum Chemical Studies (4 papers) and Avian ecology and behavior (4 papers). The work is most often cited by research in Ecological Modeling (67 citations), Artificial Intelligence (469 citations), Mathematical Physics (116 citations), Algebra and Number Theory (52 citations) and Physical and Theoretical Chemistry (93 citations). Robert T. Moore has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Robin M. Hochstrasser, John Dowding, Edwin J. Heilweil, Fuad E. Doany, Ludlow Griscom, Herbert Friedmann, Jean Mark Gawron, John Bear, Palle E. T. Jørgensen and Lynn Cherny. Their work appears in journals such as Bulletin of the American Mathematical Society, Ornithological Applications, The Journal of Chemical Physics, eNeuro and Economic Inquiry.
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.