Christopher Hidey
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Multi-Agent Systems and Negotiation
- Hate Speech and Cyberbullying Detection
- Information Systems top 10%
- Software Engineering Research
Papers in
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- Topic Modeling 10
- Natural Language Processing Techniques 9
- Advanced Text Analysis Techniques 4
- Sentiment Analysis and Opinion Mining 4
- Speech Recognition and Synthesis 2
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- Language, Metaphor, and Cognition 2
- Co-authors
- Kathy McKeown (5 shared papers)Smaranda Muresan (4 shared papers)Tuhin Chakrabarty (5 shared papers)Kathleen R. McKeown (2 shared papers)Elena Musi (1 shared paper)Mona Diab (2 shared papers)Patricia J. Culligan (1 shared paper)Fei Liu (2 shared papers)
- Journals
- Energy and Buildings (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (3 papers)arXiv (Cornell University) (2 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesFranceIsrael
In The Last Decade
Christopher Hidey
13 papers receiving 338 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 309
- Information Systems 83
- Communication 19
- Management Science and Operations Research 24
- General Social Sciences 6
Countries citing papers authored by Christopher Hidey
This map shows the geographic impact of Christopher Hidey'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 Christopher Hidey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Hidey more than expected).
Fields of papers citing papers by Christopher Hidey
This network shows the impact of papers produced by Christopher Hidey. 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 Christopher Hidey. The network helps show where Christopher Hidey may publish in the future.
Co-authors
The 16 scholars most cited alongside Christopher Hidey, 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 | 2017 | 82 | |
| 2 | 2016 | 74 | |
| 3 | 2019 | 73 | |
| 4 | 2018 | 34 | |
| 5 | 2019 | 20 | |
| 6 | 2019 | 20 | |
| 7 | 2018 | 20 | |
| 8 | 2019 | 16 | |
| 9 | 2020 | 9 | |
| 10 | 2022 | 3 | |
| 11 | 2019 | 3 | |
| 12 | 2020 | 3 | |
| 13 | 2021 | 1 | |
| 14 | 2023 | 0 |
About Christopher Hidey
Christopher Hidey is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Speech and Hearing, Communication and Literature and Literary Theory, having authored 14 papers that have together received 358 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers), Advanced Text Analysis Techniques (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Misinformation and Its Impacts (2 papers), Speech Recognition and Synthesis (2 papers), Language, Metaphor, and Cognition (2 papers) and Discourse Analysis in Language Studies (1 paper). The work is most often cited by research in Artificial Intelligence (309 citations), Information Systems (83 citations), Communication (19 citations), Management Science and Operations Research (24 citations) and General Social Sciences (6 citations). Christopher Hidey has collaborated with scholars based in United States, France and Israel. Frequent co-authors include Kathy McKeown, Smaranda Muresan, Tuhin Chakrabarty, Kathleen R. McKeown, Elena Musi, Mona Diab, Patricia J. Culligan, Fei Liu, Christoph J. Meinrenken and Rahul Goel. Their work appears in journals such as Energy and Buildings, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information), arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.