Yael Ravin
- Artificial Intelligence top 5%
- Language and Linguistics top 5%
- Information Systems top 10%
- Communication top 10%
- Experimental and Cognitive Psychology
- Co-authors
- Nina WacholderClaudia LeacockMisook ChoiRobert L. MackRoy J. ByrdKaren JensenLance A. MillerGeorge E. Heidorn
- Topics
- Natural Language Processing Techniques (10 papers)Topic Modeling (7 papers)Semantic Web and Ontologies (6 papers)
- Journals
- Computational LinguisticsIBM Systems JournalIEEE Transactions on Professional Communication
- Partner nations
- United States
In The Last Decade
Yael Ravin
14 papers receiving 377 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 317
- Language and Linguistics 84
- Information Systems 82
- Communication 42
- Experimental and Cognitive Psychology 41
Countries citing papers authored by Yael Ravin
This map shows the geographic impact of Yael Ravin'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 Yael Ravin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yael Ravin more than expected).
Fields of papers citing papers by Yael Ravin
This network shows the impact of papers produced by Yael Ravin. 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 Yael Ravin. The network helps show where Yael Ravin may publish in the future.
Co-authorship network of co-authors of Yael Ravin
This figure shows the co-authorship network connecting the top 25 collaborators of Yael Ravin. A scholar is included among the top collaborators of Yael Ravin 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 Yael Ravin. Yael Ravin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 90 | |
| 5 | Polysemy: Theoretical and Computational Approaches | 99 |
| 6 | Extracting Names from Natural-Language Text | 33 |
| 7 | 22 | |
| 8 | 128 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | 10 | |
| 12 | 15 | |
| 13 | Tools for Lexicographers Revising an On-Line Thesaurus | 1 |
| 14 | 7 | |
| 15 | A decompositional approach to predicates denoting events | 0 |
| 16 | Parse fitting and prose fixing: getting a hold on ill-formedness | 58 |
About Yael Ravin
Yael Ravin is a scholar working on Artificial Intelligence, Language and Linguistics and Human-Computer Interaction, having authored 16 papers that have together received 492 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Topic Modeling (7 papers) and Semantic Web and Ontologies (6 papers). The work is most often cited by research in Artificial Intelligence (317 citations), Language and Linguistics (84 citations) and Communication (42 citations). Yael Ravin has collaborated with scholars based in United States. Frequent co-authors include Nina Wacholder, Claudia Leacock, Misook Choi, Robert L. Mack, Roy J. Byrd, Karen Jensen, Lance A. Miller, George E. Heidorn, Tim Watson and Martin Chodorow. Their work appears in journals such as Computational Linguistics, IBM Systems Journal and IEEE Transactions on Professional Communication.
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.