Mathieu Roche
Impact in
- Artificial Intelligence top 2%
- Advanced Text Analysis Techniques
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Sentiment Analysis and Opinion Mining
- Information Systems top 2%
- Web Data Mining and Analysis
Papers in
-
- Natural Language Processing Techniques 67
- Advanced Text Analysis Techniques 63
- Topic Modeling 44
- Semantic Web and Ontologies 42
- Sentiment Analysis and Opinion Mining 16
-
- Biomedical Text Mining and Ontologies 34
- Co-authors
- Maguelonne Teisseire (48 shared papers)Pascal Poncelet (39 shared papers)Violaine Prince (13 shared papers)Elena Arsevska (21 shared papers)Juan Antonio Lossio-Ventura (9 shared papers)Clément Jonquet (7 shared papers)Renaud Lancelot (18 shared papers)Gérard Dray (10 shared papers)
In The Last Decade
Mathieu Roche
182 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 782
- Information Systems 350
- Linguistics and Language 71
- Geography, Planning and Development 55
- Signal Processing 90
Countries citing papers authored by Mathieu Roche
This map shows the geographic impact of Mathieu Roche'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 Mathieu Roche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Roche more than expected).
Fields of papers citing papers by Mathieu Roche
This network shows the impact of papers produced by Mathieu Roche. 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 Mathieu Roche. The network helps show where Mathieu Roche may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathieu Roche, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 206 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 69 | |
| 2 | 2015 | 51 | |
| 3 | 2018 | 47 | |
| 4 | 2019 | 45 | |
| 5 | 2018 | 44 | |
| 6 | 2021 | 42 | |
| 7 | 2017 | 34 | |
| 8 | 2016 | 29 | |
| 9 | 2011 | 28 | |
| 10 | 2011 | 28 | |
| 11 | Web Analyzing Traffic Challenge: Description and Results | 2007 | 26 |
| 12 | 2013 | 26 | |
| 13 | 2009 | 25 | |
| 14 | 2014 | 21 | |
| 15 | 2020 | 20 | |
| 16 | 2014 | 20 | |
| 17 | 2020 | 19 | |
| 18 | 2012 | 19 | |
| 19 | 2014 | 18 | |
| 20 | 2021 | 18 |
About Mathieu Roche
Mathieu Roche is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Epidemiology and Language and Linguistics, having authored 206 papers that have together received 1.4k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (67 papers), Advanced Text Analysis Techniques (63 papers), Topic Modeling (44 papers), Semantic Web and Ontologies (42 papers), Biomedical Text Mining and Ontologies (34 papers), Data-Driven Disease Surveillance (31 papers), Web Data Mining and Analysis (16 papers) and Sentiment Analysis and Opinion Mining (16 papers). The work is most often cited by research in Artificial Intelligence (782 citations), Information Systems (350 citations), Linguistics and Language (71 citations), Geography, Planning and Development (55 citations) and Signal Processing (90 citations). Mathieu Roche has collaborated with scholars based in France, Canada and Sweden. Frequent co-authors include Maguelonne Teisseire, Pascal Poncelet, Violaine Prince, Elena Arsevska, Juan Antonio Lossio-Ventura, Clément Jonquet, Renaud Lancelot, Gérard Dray, Brett Drury and Yves Kodratoff. Their work appears in journals such as Data in Brief, Expert Systems with Applications, Computers and Electronics in Agriculture, Lecture notes in computer science and Language Resources and Evaluation.
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.