Travis Wolfe
Impact in
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- Natural Language Processing Techniques
- Topic Modeling
- Adversarial Robustness in Machine Learning
- Advanced Text Analysis Techniques
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Natural Language Processing Techniques 5
- Topic Modeling 2
- Advanced Text Analysis Techniques 1
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- Recommender Systems and Techniques 1
- Information Retrieval and Search Behavior 1
- Co-authors
- Mark H. Dredze (6 shared papers)Benjamin Van Durme (5 shared papers)Chris Callison-Burch (2 shared papers)Pushpendre Rastogi (1 shared paper)Ellie Pavlick (1 shared paper)Jaime Carbonell (1 shared paper)Eugene Fink (1 shared paper)Rebecca Knowles (1 shared paper)
- Journals
- Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (1 paper)Edinburgh Research Explorer (University of Edinburgh) (1 paper)Annual Meeting of the Association for Computational Linguistics (ACL) (1 paper)Figshare (1 paper)
- Partner nations
- United States
In The Last Decade
Travis Wolfe
8 papers receiving 67 citations
Peers
Comparison fields: 5 of 10
- Artificial Intelligence 64
- Computer Science Applications 4
- General Social Sciences 2
- Information Systems 12
- Computer Vision and Pattern Recognition 5
Countries citing papers authored by Travis Wolfe
This map shows the geographic impact of Travis Wolfe'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 Travis Wolfe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis Wolfe more than expected).
Fields of papers citing papers by Travis Wolfe
This network shows the impact of papers produced by Travis Wolfe. 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 Travis Wolfe. The network helps show where Travis Wolfe may publish in the future.
Co-authors
The 19 scholars most cited alongside Travis Wolfe, 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 | 2015 | 35 | |
| 2 | PARMA: A Predicate Argument Aligner | 2013 | 10 |
| 3 | Topic Models and Metadata for Visualizing Text Corpora | 2013 | 10 |
| 4 | 2015 | 7 | |
| 5 | 2018 | 6 | |
| 6 | 2015 | 3 | |
| 7 | 2017 | 3 | |
| 8 | CADET: Computer Assisted Discovery Extraction and Translation | 2017 | 1 |
About Travis Wolfe
Travis Wolfe is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 8 papers that have together received 75 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (2 papers), Recommender Systems and Techniques (1 paper), Data Visualization and Analytics (1 paper), Information Retrieval and Search Behavior (1 paper) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (64 citations), Computer Science Applications (4 citations), General Social Sciences (2 citations), Information Systems (12 citations) and Computer Vision and Pattern Recognition (5 citations). Travis Wolfe has collaborated with scholars based in United States. Frequent co-authors include Mark H. Dredze, Benjamin Van Durme, Chris Callison-Burch, Pushpendre Rastogi, Ellie Pavlick, Jaime Carbonell, Eugene Fink, Rebecca Knowles, Anatole V. Gershman and Matthew R. Gormley. Their work appears in journals such as Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), Edinburgh Research Explorer (University of Edinburgh), Annual Meeting of the Association for Computational Linguistics (ACL) and Figshare.
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.