Will Monroe
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Sentiment Analysis and Opinion Mining
- AI in Service Interactions
- Advanced Text Analysis Techniques
- Reinforcement Learning in Robotics
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- Multimodal Machine Learning Applications
Papers in
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- Natural Language Processing Techniques 5
- Topic Modeling 4
- Speech and dialogue systems 2
- Text Readability and Simplification 2
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- Social Capital and Networks 2
- Co-authors
- Alan Ritter (2 shared papers)Dan Jurafsky (2 shared papers)Jiwei Li (2 shared papers)Jianfeng Gao (1 shared paper)Michel Galley (1 shared paper)Sébastien Jean (1 shared paper)Tianlin Shi (1 shared paper)Christopher D. Manning (2 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)Cognitive Science (1 paper)American Sociological Review (1 paper)British Journal of Educational Studies (1 paper)Bulletin of Miscellaneous Information (Royal Gardens Kew) (2 papers)
- Partner nations
- United States
In The Last Decade
Will Monroe
13 papers receiving 1.2k citations
Will Monroe's Hit Papers
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 1.0k
- Computer Vision and Pattern Recognition 404
- Signal Processing 53
- Information Systems 70
- Human-Computer Interaction 14
Countries citing papers authored by Will Monroe
This map shows the geographic impact of Will Monroe'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 Will Monroe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Monroe more than expected).
Fields of papers citing papers by Will Monroe
This network shows the impact of papers produced by Will Monroe. 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 Will Monroe. The network helps show where Will Monroe may publish in the future.
Co-authors
The 25 scholars most cited alongside Will Monroe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deep Reinforcement Learning for Dialogue Generation Hit paper breakdown → | 2016 | 610 |
| 2 | Adversarial Learning for Neural Dialogue Generation Hit paper breakdown → | 2017 | 467 |
| 3 | 2014 | 51 | |
| 4 | 2017 | 49 | |
| 5 | 2015 | 33 | |
| 6 | 2020 | 15 | |
| 7 | 2015 | 15 | |
| 8 | History Of The Pestalozzian Movement In The United States | 2006 | 9 |
| 9 | Comenius and the beginnings of educational reform | 2007 | 5 |
| 10 | 1969 | 4 | |
| 11 | Understanding the Rational Speech Act model. | 2018 | 1 |
| 12 | 2015 | 1 | |
| 13 | The Educational Labors of Henry Barnard: A Study in the History of American Pedagogy | 2010 | 1 |
| 14 | 2020 | 0 |
About Will Monroe
Will Monroe is a scholar working on Artificial Intelligence, Sociology and Political Science, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Communication, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers), Complex Network Analysis Techniques (2 papers), Multimodal Machine Learning Applications (2 papers), Social Capital and Networks (2 papers), Speech and dialogue systems (2 papers), Text Readability and Simplification (2 papers) and Jury Decision Making Processes (1 paper). The work is most often cited by research in Artificial Intelligence (1.0k citations), Computer Vision and Pattern Recognition (404 citations), Signal Processing (53 citations), Information Systems (70 citations) and Human-Computer Interaction (14 citations). Will Monroe has collaborated with scholars based in United States. Frequent co-authors include Alan Ritter, Dan Jurafsky, Jiwei Li, Jianfeng Gao, Michel Galley, Sébastien Jean, Tianlin Shi, Christopher D. Manning, Christopher Potts and Spence Green. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Cognitive Science, American Sociological Review, British Journal of Educational Studies and Bulletin of Miscellaneous Information (Royal Gardens Kew).
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.