Jonathan May
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Speech Recognition and Synthesis
- Text and Document Classification Technologies
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- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 55
- Natural Language Processing Techniques 54
- Text Readability and Simplification 8
- Speech and dialogue systems 7
- Semantic Web and Ontologies 5
- Speech Recognition and Synthesis 5
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- Multimodal Machine Learning Applications 11
- Co-authors
- Kevin Knight (15 shared papers)Mark Hopkins (2 shared papers)Heng Ji (5 shared papers)Xiaoman Pan (6 shared papers)Boliang Zhang (4 shared papers)Joel Nothman (1 shared paper)Xiang Ren (7 shared papers)Mozhdeh Gheini (3 shared papers)
- Journals
- Language Resources and Evaluation (3 papers)Computational Linguistics (1 paper)Biotechnology and Bioengineering (1 paper)Big Data (1 paper)British Journal of Industrial Relations (1 paper)
- Partner nations
- United StatesGermanySpain
In The Last Decade
Jonathan May
69 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 218
- Management Science and Operations Research 51
- Information Systems 89
- Computational Theory and Mathematics 52
Countries citing papers authored by Jonathan May
This map shows the geographic impact of Jonathan May'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 Jonathan May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan May more than expected).
Fields of papers citing papers by Jonathan May
This network shows the impact of papers produced by Jonathan May. 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 Jonathan May. The network helps show where Jonathan May may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan May, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 202 | |
| 2 | Tuning as Ranking | 2011 | 179 |
| 3 | 2021 | 69 | |
| 4 | 2018 | 66 | |
| 5 | 2020 | 44 | |
| 6 | 2019 | 43 | |
| 7 | 2017 | 38 | |
| 8 | 2015 | 38 | |
| 9 | 2016 | 34 | |
| 10 | 2010 | 32 | |
| 11 | Syntactic Re-Alignment Models for Machine Translation | 2007 | 28 |
| 12 | TREC 2002 QA at BBN: Answer Selection and Confidence Estimation. | 2002 | 28 |
| 13 | 2023 | 24 | |
| 14 | 2019 | 22 | |
| 15 | 2009 | 20 | |
| 16 | 2006 | 20 | |
| 17 | 2019 | 19 | |
| 18 | 2020 | 19 | |
| 19 | 2014 | 19 | |
| 20 | 2016 | 18 |
About Jonathan May
Jonathan May is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Information Systems and Molecular Biology, having authored 77 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (55 papers), Natural Language Processing Techniques (54 papers), Multimodal Machine Learning Applications (11 papers), Text Readability and Simplification (8 papers), Speech and dialogue systems (7 papers), Semantic Web and Ontologies (5 papers), Speech Recognition and Synthesis (5 papers) and semigroups and automata theory (4 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (218 citations), Management Science and Operations Research (51 citations), Information Systems (89 citations) and Computational Theory and Mathematics (52 citations). Jonathan May has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Kevin Knight, Mark Hopkins, Heng Ji, Xiaoman Pan, Boliang Zhang, Joel Nothman, Xiang Ren, Mozhdeh Gheini, Nanyun Peng and Marjan Ghazvininejad. Their work appears in journals such as Language Resources and Evaluation, Computational Linguistics, Biotechnology and Bioengineering, Big Data and British Journal of Industrial Relations.
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.