Mathieu Roche

2.3k total citations
160 papers, 908 citations indexed

About

Mathieu Roche is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Mathieu Roche has authored 160 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Artificial Intelligence, 34 papers in Molecular Biology and 28 papers in Epidemiology. Recurrent topics in Mathieu Roche's work include Natural Language Processing Techniques (51 papers), Advanced Text Analysis Techniques (47 papers) and Topic Modeling (35 papers). Mathieu Roche is often cited by papers focused on Natural Language Processing Techniques (51 papers), Advanced Text Analysis Techniques (47 papers) and Topic Modeling (35 papers). Mathieu Roche collaborates with scholars based in France, Canada and Sweden. Mathieu Roche's co-authors include Maguelonne Teisseire, Pascal Poncelet, Elena Arsevska, Renaud Lancelot, Violaine Prince, Juan Antonio Lossio-Ventura, Clément Jonquet, Brett Drury, Gérard Dray and Julien Rabatel and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Mathieu Roche

140 papers receiving 848 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mathieu Roche France 15 496 232 139 131 78 160 908
Roman Yangarber Finland 20 954 1.9× 342 1.5× 250 1.8× 185 1.4× 55 0.7× 76 1.3k
Ranjan Kumar Behera India 13 325 0.7× 111 0.5× 109 0.8× 142 1.1× 82 1.1× 44 779
Timothy W. Cole United States 16 248 0.5× 342 1.5× 42 0.3× 161 1.2× 80 1.0× 102 1.3k
Elena García‐Barriocanal Spain 18 337 0.7× 367 1.6× 82 0.6× 49 0.4× 75 1.0× 71 929
Adam Sadilek United States 17 336 0.7× 119 0.5× 255 1.8× 34 0.3× 53 0.7× 31 1.4k
Shunxiang Zhang China 14 351 0.7× 115 0.5× 194 1.4× 29 0.2× 62 0.8× 86 953
Courtney D. Corley United States 14 1.0k 2.1× 317 1.4× 396 2.8× 205 1.6× 61 0.8× 46 2.0k
Benjamin M. Good United States 20 264 0.5× 145 0.6× 132 0.9× 525 4.0× 24 0.3× 52 1.5k
Reid Priedhorsky United States 18 136 0.3× 224 1.0× 300 2.2× 69 0.5× 109 1.4× 34 1.1k
Qing Xu United States 12 427 0.9× 353 1.5× 73 0.5× 60 0.5× 18 0.2× 47 1.1k

Countries citing papers authored by Mathieu Roche

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mathieu Roche

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Roche. A scholar is included among the top collaborators of Mathieu Roche 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 Mathieu Roche. Mathieu Roche is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sewalk, Kara, et al.. (2023). Dissemination of information in event-based surveillance, a case study of Avian Influenza. PLoS ONE. 18(9). e0285341–e0285341. 3 indexed citations
2.
Christina, Mathias, et al.. (2022). Experimental variables in sugarcane intercropping in Reunion Island for data matching. Data in Brief. 46. 108869–108869.
3.
Interdonato, Roberto, Raffaele Gaetano, Danny Lo Seen, Mathieu Roche, & Giuseppe Scarpa. (2020). Extracting multilayer networks from Sentinel-2 satellite image time series. CINECA IRIS Institutial research information system (Parthenope University of Naples). 2 indexed citations
4.
Mercier, Alizé, et al.. (2020). Monitoring online media reports for early detection of unknown diseases: Insight from a retrospective study of COVID‐19 emergence. Transboundary and Emerging Diseases. 68(3). 981–986. 18 indexed citations
5.
Lancelot, Renaud, et al.. (2020). Automated Processing of Multilingual Online News for the Monitoring of Animal Infectious Diseases. Language Resources and Evaluation. 33–36. 1 indexed citations
6.
Sallaberry, Arnaud, et al.. (2019). EpidVis: A visual web querying tool for animal epidemiology surveillance. Information Visualization. 19(1). 48–64. 4 indexed citations
7.
Roche, Mathieu, et al.. (2016). Integration of Lexical and Semantic Knowledge for Sentiment Analysis in SMS. Language Resources and Evaluation. 1185–1189. 1 indexed citations
8.
Arsevska, Elena, Mathieu Roche, Renaud Lancelot, et al.. (2016). Monitoring disease outbreak events on the web using text-mining approach and domain expert knowledge. Language Resources and Evaluation. 3407–3411. 2 indexed citations
9.
Roche, Mathieu, et al.. (2015). La néographie dans un grand corpus de SMS français : 88milSMS. HAL (Le Centre pour la Communication Scientifique Directe). 279–302. 2 indexed citations
10.
Arsevska, Elena, Mathieu Roche, Renaud Lancelot, Pascal Hendrikx, & Barbara Dufour. (2014). Exploiting Textual Source Information for Epidemiosurveillance. 478. 359–361. 4 indexed citations
11.
Poncelet, Pascal, et al.. (2012). How and why exploit tweet's location information?. HAL (Le Centre pour la Communication Scientifique Directe). 12 indexed citations
12.
Prince, Violaine, et al.. (2012). Just Title It! (by an Online Application). HAL (Le Centre pour la Communication Scientifique Directe). 31–34. 3 indexed citations
13.
Prince, Violaine, et al.. (2011). Automatic titling of Articles Using Position and Statistical Information. HAL (Le Centre pour la Communication Scientifique Directe). 727–732. 9 indexed citations
14.
Roche, Mathieu, et al.. (2010). Classification automatique de documents bruités à faible contenu textuel. HAL (Le Centre pour la Communication Scientifique Directe). 25. 1 indexed citations
15.
Roche, Mathieu, et al.. (2009). Comment valider automatiquement des relations syntaxiques induites. HAL (Le Centre pour la Communication Scientifique Directe). 169–180.
16.
Roche, Mathieu, et al.. (2008). Détection d'opinion. Comment déterminer les adjectifs d'opinion d'un domaine donné. SPIRE - Sciences Po Institutional REpository. 11(1-2). 37–61. 2 indexed citations
17.
Roche, Mathieu, et al.. (2008). ExpLSA: An Approach Based on Syntactic Knowledge in Order to Improve LSA for a Conceptual Classification Task. HAL (Le Centre pour la Communication Scientifique Directe). 33. 213–224. 1 indexed citations
18.
Roche, Mathieu & Violaine Prince. (2008). Managing the Acronym/Expansion Identification Process for Text-Mining Applications. HAL (Le Centre pour la Communication Scientifique Directe). 2(2). 163–179. 6 indexed citations
19.
Raïssi, Chedy, et al.. (2007). Web Analyzing Traffic Challenge: Description and Results. SPIRE - Sciences Po Institutional REpository. 6. 24 indexed citations
20.
Azé, Jérôme, et al.. (2004). From the Texts to the Contexts They Contain: A Chain of Linguistic Treatments.. Text REtrieval Conference. 6 indexed citations

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.

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