Jonathan May
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Text Readability and Simplification
- Advanced Text Analysis Techniques
- Speech Recognition and Synthesis
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- Multimodal Machine Learning Applications
Papers in
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- Natural Language Processing Techniques 59
- Topic Modeling 59
- Text Readability and Simplification 8
- Speech and dialogue systems 7
- Speech Recognition and Synthesis 6
- Hate Speech and Cyberbullying Detection 5
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- Multimodal Machine Learning Applications 11
- Co-authors
- Kevin Knight (17 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)Big Data (1 paper)Biotechnology and Bioengineering (1 paper)Theoretical Computer Science (1 paper)Machine Translation (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Jonathan May
79 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 238
- Computational Theory and Mathematics 159
- Management Science and Operations Research 60
- Information Systems 99
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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 219 | |
| 2 | Tuning as Ranking | 2011 | 186 |
| 3 | 2021 | 84 | |
| 4 | 2018 | 75 | |
| 5 | 2020 | 50 | |
| 6 | 2019 | 48 | |
| 7 | 2006 | 48 | |
| 8 | 2015 | 41 | |
| 9 | 2017 | 41 | |
| 10 | 2010 | 35 | |
| 11 | 2016 | 35 | |
| 12 | TREC 2002 QA at BBN: Answer Selection and Confidence Estimation. | 2002 | 34 |
| 13 | 2023 | 33 | |
| 14 | 2009 | 33 | |
| 15 | Syntactic Re-Alignment Models for Machine Translation | 2007 | 29 |
| 16 | 2009 | 29 | |
| 17 | 2006 | 25 | |
| 18 | 2014 | 22 | |
| 19 | 2019 | 22 | |
| 20 | 2007 | 22 |
About Jonathan May
Jonathan May is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Information Systems and Computer Networks and Communications, having authored 92 papers that have together received 1.5k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (59 papers), Topic Modeling (59 papers), Multimodal Machine Learning Applications (11 papers), Text Readability and Simplification (8 papers), semigroups and automata theory (8 papers), Speech and dialogue systems (7 papers), Speech Recognition and Synthesis (6 papers) and Hate Speech and Cyberbullying Detection (5 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (238 citations), Computational Theory and Mathematics (159 citations), Management Science and Operations Research (60 citations) and Information Systems (99 citations). Jonathan May has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Kevin Knight, Mark Hopkins, Heng Ji, Xiaoman Pan, Boliang Zhang, Joel Nothman, Xiang Ren, Mozhdeh Gheini, Nanyun Peng and Andreas Maletti. Their work appears in journals such as Language Resources and Evaluation, Big Data, Biotechnology and Bioengineering, Theoretical Computer Science and Machine Translation.
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.