Benoît Dumoulin
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Information Systems top 5%
- Expert finding and Q&A systems
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
- Recommender Systems and Techniques
Papers in
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- Topic Modeling 10
- Natural Language Processing Techniques 8
- Speech Recognition and Synthesis 4
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- Web Data Mining and Analysis 3
- Expert finding and Q&A systems 3
- Information Retrieval and Search Behavior 3
- Co-authors
- Mohamed Bouguessa (2 shared papers)Shengrui Wang (2 shared papers)Xing Wei (5 shared papers)Fuchun Peng (5 shared papers)Geoffrey Zweig (2 shared papers)Zhiheng Huang (2 shared papers)Yumao Lu (4 shared papers)Michael Levit (4 shared papers)
- Journals
- ACM Transactions on Knowledge Discovery from Data (1 paper)Le Pharmacien Hospitalier et Clinicien (2 papers)International Conference on Computational Linguistics (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Benoît Dumoulin
14 papers receiving 264 citations
Peers
Comparison fields: 5 of 40
- Computer Science Applications 117
- Information Systems 188
- Artificial Intelligence 206
- Communication 17
- Signal Processing 24
Countries citing papers authored by Benoît Dumoulin
This map shows the geographic impact of Benoît Dumoulin'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 Benoît Dumoulin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Dumoulin more than expected).
Fields of papers citing papers by Benoît Dumoulin
This network shows the impact of papers produced by Benoît Dumoulin. 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 Benoît Dumoulin. The network helps show where Benoît Dumoulin may publish in the future.
Co-authors
The 24 scholars most cited alongside Benoît Dumoulin, 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 | 2008 | 149 | |
| 2 | 2014 | 25 | |
| 3 | 2009 | 21 | |
| 4 | 2013 | 20 | |
| 5 | 2008 | 17 | |
| 6 | 2010 | 10 | |
| 7 | 2009 | 9 | |
| 8 | 2014 | 9 | |
| 9 | 2011 | 8 | |
| 10 | 2010 | 8 | |
| 11 | Search with Synonyms: Problems and Solutions | 2010 | 5 |
| 12 | 2015 | 4 | |
| 13 | 2017 | 3 | |
| 14 | 2015 | 2 | |
| 15 | 2016 | 0 | |
| 16 | 2015 | 0 |
About Benoît Dumoulin
Benoît Dumoulin is a scholar working on Artificial Intelligence, Information Systems, Family Practice, Geriatrics and Gerontology and Signal Processing, having authored 16 papers that have together received 290 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers), Speech Recognition and Synthesis (4 papers), Web Data Mining and Analysis (3 papers), Expert finding and Q&A systems (3 papers), Information Retrieval and Search Behavior (3 papers), Pharmaceutical Practices and Patient Outcomes (2 papers) and Medication Adherence and Compliance (2 papers). The work is most often cited by research in Computer Science Applications (117 citations), Information Systems (188 citations), Artificial Intelligence (206 citations), Communication (17 citations) and Signal Processing (24 citations). Benoît Dumoulin has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Mohamed Bouguessa, Shengrui Wang, Xing Wei, Fuchun Peng, Geoffrey Zweig, Zhiheng Huang, Yumao Lu, Michael Levit, Huihsin Tseng and Barlas Oğuz. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, Le Pharmacien Hospitalier et Clinicien and International Conference on Computational Linguistics.
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.