Roy J. Byrd
Impact in
- Artificial Intelligence top 2%
- Natural Language Processing Techniques
- Topic Modeling
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Speech and dialogue systems
- Machine Learning in Healthcare
Papers in
-
- Natural Language Processing Techniques 17
- Speech and dialogue systems 6
- Semantic Web and Ontologies 6
- Topic Modeling 5
- Machine Learning in Healthcare 4
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- Lexicography and Language Studies 6
- Co-authors
- Martin Chodorow (5 shared papers)Youngja Park (3 shared papers)George E. Heidorn (2 shared papers)Branimir Boguraev (6 shared papers)Mary S. Neff (9 shared papers)Steven R. Steinhubl (8 shared papers)Walter F. Stewart (8 shared papers)Shahram Ebadollahi (6 shared papers)
- Journals
- IBM Systems Journal (2 papers)Natural Language Engineering (2 papers)Circulation (1 paper)Journal of Cardiac Failure (1 paper)Computational Linguistics (1 paper)
- Partner nations
- United StatesItalyIndia
In The Last Decade
Roy J. Byrd
32 papers receiving 893 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 748
- Health Information Management 63
- Language and Linguistics 150
- Information Systems 137
- Communication 39
Countries citing papers authored by Roy J. Byrd
This map shows the geographic impact of Roy J. Byrd'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 Roy J. Byrd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy J. Byrd more than expected).
Fields of papers citing papers by Roy J. Byrd
This network shows the impact of papers produced by Roy J. Byrd. 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 Roy J. Byrd. The network helps show where Roy J. Byrd may publish in the future.
Co-authors
The 25 scholars most cited alongside Roy J. Byrd, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 135 | |
| 2 | 1982 | 108 | |
| 3 | 2002 | 103 | |
| 4 | Hybrid Text Mining for Finding Abbreviations and their Definitions | 2001 | 96 |
| 5 | 2013 | 95 | |
| 6 | 2001 | 89 | |
| 7 | 2014 | 65 | |
| 8 | 1987 | 63 | |
| 9 | 1997 | 47 | |
| 10 | 2015 | 40 | |
| 11 | 2000 | 24 | |
| 12 | Tools and Methods for Computational Linguistics | 1987 | 24 |
| 13 | Word formation in natural language processing systems | 1983 | 21 |
| 14 | 2002 | 18 | |
| 15 | 1986 | 17 | |
| 16 | 1988 | 17 | |
| 17 | 1982 | 13 | |
| 18 | 2004 | 12 | |
| 19 | 1985 | 11 | |
| 20 | 2008 | 11 |
About Roy J. Byrd
Roy J. Byrd is a scholar working on Artificial Intelligence, Language and Linguistics, Computer Networks and Communications, Information Systems and Molecular Biology, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (17 papers), Speech and dialogue systems (6 papers), Lexicography and Language Studies (6 papers), Semantic Web and Ontologies (6 papers), Topic Modeling (5 papers), Machine Learning in Healthcare (4 papers), Advanced Database Systems and Queries (2 papers) and Phonetics and Phonology Research (2 papers). The work is most often cited by research in Artificial Intelligence (748 citations), Health Information Management (63 citations), Language and Linguistics (150 citations), Information Systems (137 citations) and Communication (39 citations). Roy J. Byrd has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Martin Chodorow, Youngja Park, George E. Heidorn, Branimir Boguraev, Mary S. Neff, Steven R. Steinhubl, Walter F. Stewart, Shahram Ebadollahi, Yael Ravin and Robert L. Mack. Their work appears in journals such as IBM Systems Journal, Natural Language Engineering, Circulation, Journal of Cardiac Failure and Computational Linguistics.
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.