Douglas E. Appelt
- Artificial Intelligence top 0.5%
- Natural Language Processing Techniques 24
- Speech and dialogue systems 14
- Topic Modeling 14
- Semantic Web and Ontologies 8
- Multi-Agent Systems and Negotiation 7
- Logic, Reasoning, and Knowledge 5
- Speech Recognition and Synthesis 3
- Text Readability and Simplification 3
- Information Systems top 2%
- Language and Linguistics top 5%
- Co-authors
- David IsraëlJohn BearMabry TysonJerry R. HobbsFernando C. N. PereiraBarbara J. GroszMartha E. PollackMegumi Kameyama
- Journals
- Artificial Intelligence (2 papers)Computational Linguistics (1 paper)User Modeling and User-Adapted Interaction (1 paper)
- Partner nations
- United States
In The Last Decade
Douglas E. Appelt
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 1.4k
- Information Systems 284
- Language and Linguistics 96
- Management Science and Operations Research 86
- Computer Networks and Communications 139
Countries citing papers authored by Douglas E. Appelt
This map shows the geographic impact of Douglas E. Appelt'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 Douglas E. Appelt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas E. Appelt more than expected).
Fields of papers citing papers by Douglas E. Appelt
This network shows the impact of papers produced by Douglas E. Appelt. 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 Douglas E. Appelt. The network helps show where Douglas E. Appelt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Douglas E. Appelt, 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 | Fostering Collaboration with a Semantic Index over Textual Contributions. | 2005 | 1 |
| 2 | 2004 | 44 | |
| 3 | 2004 | 14 | |
| 4 | 1999 | 99 | |
| 5 | FASTUS: A Finite-state Processor for Information Extraction from Real-world Text. | 1993 | 174 |
| 6 | 1993 | 16 | |
| 7 | 1992 | 17 | |
| 8 | 1992 | 44 | |
| 9 | 1992 | 36 | |
| 10 | The TACITUS System: The MUC-3 Experience | 1991 | 2 |
| 11 | 1991 | 37 | |
| 12 | 1987 | 31 | |
| 13 | 1985 | 12 | |
| 14 | 1985 | 105 | |
| 15 | 1985 | 213 | |
| 16 | Transportability and generality in a natural-language interface system | 1983 | 31 |
| 17 | Telegram: a grammar formalism for language planning | 1983 | 23 |
| 18 | Planning natural-language utterances | 1982 | 30 |
| 19 | A planner for reasoning about knowledge and action | 1980 | 10 |
| 20 | 1980 | 13 |
About Douglas E. Appelt
Douglas E. Appelt is a scholar working on Artificial Intelligence, Hardware and Architecture, Language and Linguistics, Information Systems and Signal Processing, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (24 papers), Speech and dialogue systems (14 papers), Topic Modeling (14 papers), Semantic Web and Ontologies (8 papers), Multi-Agent Systems and Negotiation (7 papers), Logic, Reasoning, and Knowledge (5 papers), Speech Recognition and Synthesis (3 papers) and Text Readability and Simplification (3 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Information Systems (284 citations), Language and Linguistics (96 citations), Management Science and Operations Research (86 citations) and Computer Networks and Communications (139 citations). Douglas E. Appelt has collaborated with scholars based in United States. Frequent co-authors include David Israël, John Bear, Mabry Tyson, Jerry R. Hobbs, Fernando C. N. Pereira, Barbara J. Grosz, Martha E. Pollack, Megumi Kameyama, Andrew Kehler and David Martín. Their work appears in journals such as Artificial Intelligence, Computational Linguistics, User Modeling and User-Adapted Interaction, PLoS ONE and AI Communications.
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.