Victor Chahuneau
- Artificial Intelligence top 5%
- Natural Language Processing Techniques 7
- Topic Modeling 6
- Sentiment Analysis and Opinion Mining 2
- Algorithms and Data Compression 2
- Text Readability and Simplification 2
- General Social Sciences top 10%
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- Culinary Culture and Tourism 2
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- Genomics and Phylogenetic Studies 2
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- Digital Games and Media 1
- Co-authors
- Noah A. SmithChris DyerBryan RoutledgeDan JurafskyEva SchlingerNikolas MartelaroWendy JuDavid Sirkin
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionTourism, Leisure and Hospitality Management
- Journals
- SHILAP Revista de lepidopterología (1 paper)First Monday (1 paper)Figshare (3 papers)
- Partner nations
- United StatesItalyIsrael
In The Last Decade
Victor Chahuneau
11 papers receiving 460 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 429
- Computer Vision and Pattern Recognition 106
- Tourism, Leisure and Hospitality Management 7
- Human-Computer Interaction 24
- General Social Sciences 8
Countries citing papers authored by Victor Chahuneau
This map shows the geographic impact of Victor Chahuneau'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 Victor Chahuneau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor Chahuneau more than expected).
Fields of papers citing papers by Victor Chahuneau
This network shows the impact of papers produced by Victor Chahuneau. 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 Victor Chahuneau. The network helps show where Victor Chahuneau may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Victor Chahuneau, 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 | A Simple, Fast, and Effective Reparameterization of IBM Model 2breakdown → | 2018 | 317 |
| 2 | 2018 | 4 | |
| 3 | 2018 | 3 | |
| 4 | 2016 | 13 | |
| 5 | 2016 | 29 | |
| 6 | 2014 | 77 | |
| 7 | 2013 | 41 | |
| 8 | Identifying the L1 of non-native writers: the CMU-Haifa system | 2013 | 7 |
| 9 | The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo-References | 2013 | 12 |
| 10 | 2013 | 3 | |
| 11 | 2012 | 7 |
About Victor Chahuneau
Victor Chahuneau is a scholar working on Artificial Intelligence, Human-Computer Interaction and Food Science, having authored 11 papers that have together received 513 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers), Sentiment Analysis and Opinion Mining (2 papers), Culinary Culture and Tourism (2 papers), Algorithms and Data Compression (2 papers), Genomics and Phylogenetic Studies (2 papers), Text Readability and Simplification (2 papers) and Digital Games and Media (1 paper). The work is most often cited by research in Artificial Intelligence (429 citations), Computer Vision and Pattern Recognition (106 citations) and Tourism, Leisure and Hospitality Management (7 citations). Victor Chahuneau has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Noah A. Smith, Chris Dyer, Bryan Routledge, Dan Jurafsky, Eva Schlinger, Nikolas Martelaro, Wendy Ju, David Sirkin, Michael Denkowski and Manaal Faruqui. Their work appears in journals such as SHILAP Revista de lepidopterología, First Monday 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.