John Bear

1.7k citations
34 papers · 1.1k · h-index 17

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems
    • Semantic Web and Ontologies
    • Speech Recognition and Synthesis
    • Advanced Text Analysis Techniques
    • Web Data Mining and Analysis

Papers in

John Bear

34 papers receiving 905 citations

Peers

John Bear
Comparison fields: 5 of 64
  • Artificial Intelligence 983
  • Information Systems 177
  • Experimental and Cognitive Psychology 87
  • Language and Linguistics 75
  • Management Science and Operations Research 56
Replace Andrei Mikheev with:
Andrei Mikheev United Kingdom
B. K. Boguraev United States
Richard Kittredge Canada
Branimir Boguraev United States
François Yvon France
Stefan Riezler Germany
Robert Ingria United States
Julie B. Lovins United States
Takenobu Tokunaga Japan
Hans‐Ulrich Krieger Germany
John Bear relative to Andrei Mikheev United Kingdom Andrei Mikheev's profile →
Citations per field
00.5×1.7×
Andrei Mikheev · 1×
Citations per year

Countries citing papers authored by John Bear

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with John Bear Line = papers co-authored together John Bear links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
FASTUS: A Finite-state Processor for Information Extraction from Real-world Text.
1993215
2 1995111
3 199397
4 199284
5 199781
6 199362
7 199349
8 199246
9 199141
10 199038
11 198635
12 199234
13 199027
14
Using Information Extraction to Improve Document Retrieval
199825
15 199025
16 199223
17 199321
18 198815
19 198811
20
Gaps as syntactic features
19828

About John Bear

John Bear is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Language and Linguistics, Computational Theory and Mathematics and Information Systems, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (20 papers), Speech and dialogue systems (10 papers), Topic Modeling (5 papers), Phonetics and Phonology Research (4 papers), Logic, Reasoning, and Knowledge (4 papers), Semantic Web and Ontologies (4 papers), Speech Recognition and Synthesis (4 papers) and Syntax, Semantics, Linguistic Variation (4 papers). The work is most often cited by research in Artificial Intelligence (983 citations), Information Systems (177 citations), Experimental and Cognitive Psychology (87 citations), Language and Linguistics (75 citations) and Management Science and Operations Research (56 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, Megumi Kameyama, Robert T. Moore, Lynn Cherny and Jean Mark Gawron. Their work appears in journals such as Computational Linguistics, Austrian Journal of Statistics, Medical Entomology and Zoology, Informatik-Fachberichte 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.

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