John Bear
- Artificial Intelligence top 2%
- Natural Language Processing Techniques 20
- Speech and dialogue systems 10
- Topic Modeling 5
- Semantic Web and Ontologies 4
- Speech Recognition and Synthesis 4
- Logic, programming, and type systems 4
- Logic, Reasoning, and Knowledge 3
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- Phonetics and Phonology Research 3
- Information Systems top 5%
- Language and Linguistics top 10%
- Co-authors
- Jerry R. HobbsDouglas E. AppeltDavid IsraëlMabry TysonJohn DowdingElizabeth ShribergRobert T. MooreJean Mark Gawron
- Journals
- Computational Linguistics (1 paper)Austrian Journal of Statistics (1 paper)International Joint Conference on Artificial Intelligence (2 papers)
- Partner nations
- United States
In The Last Decade
John Bear
30 papers receiving 683 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 774
- Experimental and Cognitive Psychology 79
- Information Systems 119
- Language and Linguistics 52
- Signal Processing 39
Countries citing papers authored by John Bear
This map shows the geographic impact of John Bear'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 John Bear with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Bear more than expected).
Fields of papers citing papers by John Bear
This network shows the impact of papers produced by John Bear. 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 John Bear. The network helps show where John Bear may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Bear, 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 | 2016 | 7 | |
| 2 | Using Information Extraction to Improve Document Retrieval | 1998 | 23 |
| 3 | 1995 | 87 | |
| 4 | FASTUS: A Finite-state Processor for Information Extraction from Real-world Text. | 1993 | 174 |
| 5 | A System for Labeling Self-Repairs in Speech | 1993 | 7 |
| 6 | 1993 | 16 | |
| 7 | 1993 | 55 | |
| 8 | 1993 | 33 | |
| 9 | Detection and Correction of Repairs in Human-Computer Dialog | 1992 | 1 |
| 10 | 1992 | 17 | |
| 11 | 1992 | 36 | |
| 12 | 1992 | 77 | |
| 13 | 1992 | 4 | |
| 14 | The TACITUS System: The MUC-3 Experience | 1991 | 2 |
| 15 | 1991 | 37 | |
| 16 | 1990 | 31 | |
| 17 | 1990 | 6 | |
| 18 | 1988 | 11 | |
| 19 | 1986 | 28 | |
| 20 | A breadth-first parsing model | 1983 | 3 |
About John Bear
John Bear is a scholar working on Artificial Intelligence, Hardware and Architecture, Experimental and Cognitive Psychology, Linguistics and Language and Language and Linguistics, having authored 30 papers that have together received 847 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (20 papers), Speech and dialogue systems (10 papers), Topic Modeling (5 papers), Semantic Web and Ontologies (4 papers), Speech Recognition and Synthesis (4 papers), Logic, programming, and type systems (4 papers), Logic, Reasoning, and Knowledge (3 papers) and Phonetics and Phonology Research (3 papers). The work is most often cited by research in Artificial Intelligence (774 citations), Experimental and Cognitive Psychology (79 citations), Information Systems (119 citations), Language and Linguistics (52 citations) and Signal Processing (39 citations). John Bear has collaborated with scholars based in United States. Frequent co-authors include Jerry R. Hobbs, Douglas E. Appelt, David Israël, Mabry Tyson, John Dowding, Elizabeth Shriberg, Robert T. Moore, Jean Mark Gawron, Lynn Cherny and Megumi Kameyama. Their work appears in journals such as Computational Linguistics, Austrian Journal of Statistics, International Joint Conference on Artificial Intelligence, Medical Entomology and Zoology and Defense Technical Information Center (DTIC).
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.