Kenneth R. Beesley
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition
- Language and Linguistics top 5%
- Computational Theory and Mathematics top 10%
- Experimental and Cognitive Psychology
- Co-authors
- Lauri Karttunen
- Topics
- Natural Language Processing Techniques (11 papers)Phonetics and Phonology Research (7 papers)Syntax, Semantics, Linguistic Variation (4 papers)
- Journals
- Computational LinguisticsJournal of SemanticsScholarsArchive (Brigham Young University)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Kenneth R. Beesley
15 papers receiving 246 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 279
- Computer Vision and Pattern Recognition 58
- Language and Linguistics 57
- Computational Theory and Mathematics 48
- Experimental and Cognitive Psychology 35
Countries citing papers authored by Kenneth R. Beesley
This map shows the geographic impact of Kenneth R. Beesley'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 Kenneth R. Beesley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth R. Beesley more than expected).
Fields of papers citing papers by Kenneth R. Beesley
This network shows the impact of papers produced by Kenneth R. Beesley. 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 Kenneth R. Beesley. The network helps show where Kenneth R. Beesley may publish in the future.
Co-authorship network of co-authors of Kenneth R. Beesley
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth R. Beesley. A scholar is included among the top collaborators of Kenneth R. Beesley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kenneth R. Beesley. Kenneth R. Beesley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Kleene, a Free and Open-Source Language for Finite-State Programming | 7 |
| 2 | A Short History of Two-Level Morphology | 7 |
| 3 | The Kleene Language for Weighted Finite-State Programming | 1 |
| 4 | Finite-State Morphological Analysis and Generation of Arabic at Xerox Research: Status and Plans in 2001 | 49 |
| 5 | 1 | |
| 6 | 30 | |
| 7 | 16 | |
| 8 | 3 | |
| 9 | Arabic Morphological Analysis on the Internet | 19 |
| 10 | 13 | |
| 11 | 43 | |
| 12 | 113 | |
| 13 | Computer Analysis of Arabic Morphology | 3 |
| 14 | Computer Analysis of Aymara Morphology: A Two-Level, Finite-State Approach | 2 |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 6 |
About Kenneth R. Beesley
Kenneth R. Beesley is a scholar working on Language and Linguistics, Experimental and Cognitive Psychology and Artificial Intelligence, having authored 17 papers that have together received 314 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (11 papers), Phonetics and Phonology Research (7 papers) and Syntax, Semantics, Linguistic Variation (4 papers). The work is most often cited by research in Artificial Intelligence (279 citations), Language and Linguistics (57 citations) and Computational Theory and Mathematics (48 citations). Kenneth R. Beesley has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Lauri Karttunen. Their work appears in journals such as Computational Linguistics, Journal of Semantics and ScholarsArchive (Brigham Young University).
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.