Victor Chahuneau
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science
- Language and Linguistics top 10%
- Human-Computer Interaction
- Co-authors
- Noah A. SmithChris DyerBryan RoutledgeDan JurafskyEva SchlingerNikolas MartelaroWendy JuDavid Sirkin
- Topics
- Natural Language Processing Techniques (7 papers)Topic Modeling (6 papers)Sentiment Analysis and Opinion Mining (2 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionTourism, Leisure and Hospitality Management
- Journals
- SHILAP Revista de lepidopterologíaFirst MondayFigshare
- 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
- Sociology and Political Science 48
- Language and Linguistics 24
- Human-Computer Interaction 24
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 of co-authors of Victor Chahuneau
This figure shows the co-authorship network connecting the top 25 collaborators of Victor Chahuneau. A scholar is included among the top collaborators of Victor Chahuneau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Victor Chahuneau. Victor Chahuneau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A Simple, Fast, and Effective Reparameterization of IBM Model 2breakdown → | 317 |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 13 | |
| 5 | 29 | |
| 6 | 77 | |
| 7 | 41 | |
| 8 | Identifying the L1 of non-native writers: the CMU-Haifa system | 7 |
| 9 | The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo-References | 12 |
| 10 | 3 | |
| 11 | 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) and Sentiment Analysis and Opinion Mining (2 papers). 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.