Mathias Rossignol

409 total citations
10 papers, 102 citations indexed

About

Mathias Rossignol is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Mathias Rossignol has authored 10 papers receiving a total of 102 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Mathias Rossignol's work include Natural Language Processing Techniques (5 papers), Topic Modeling (3 papers) and Speech and Audio Processing (2 papers). Mathias Rossignol is often cited by papers focused on Natural Language Processing Techniques (5 papers), Topic Modeling (3 papers) and Speech and Audio Processing (2 papers). Mathias Rossignol collaborates with scholars based in France, Vietnam and Czechia. Mathias Rossignol's co-authors include Mathieu Lagrange, Axel Röebel, Emmanouil Benetos, Laurent Romary, Cam Nguyen, Pascale Sébillot, Nicolas Misdariis and Arshia Cont and has published in prestigious journals such as PLoS ONE, Behavior Research Methods and Language Resources and Evaluation.

In The Last Decade

Mathias Rossignol

9 papers receiving 88 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mathias Rossignol France	6	68	25	22	13	8	10	102
Laurent Besacier France	7	73 1.1×	60 2.4×	45 2.0×	4 0.3×	5 0.6×	12	126
Aditya Bhargava Canada	7	166 2.4×	10 0.4×	40 1.8×	11 0.8×	3 0.4×	15	187
Hwidong Na South Korea	3	79 1.2×	49 2.0×	17 0.8×	8 0.6×		9	100
Ngoc Khanh Nguyen Switzerland	3	27 0.4×	47 1.9×	13 0.6×	9 0.7×		5	67
Yuanliang Meng United States	5	76 1.1×	10 0.4×	13 0.6×	9 0.7×		10	111
Wenbiao Ding China	6	104 1.5×	14 0.6×	67 3.0×	7 0.5×	2 0.3×	12	139
Ye Kyaw Thu Japan	10	184 2.7×	14 0.6×	51 2.3×	7 0.5×		56	241
Nicolas Turpault France	5	34 0.5×	96 3.8×	48 2.2×	2 0.2×	5 0.6×	7	111
Stanislas Lauly United States	3	115 1.7×	12 0.5×	36 1.6×	14 1.1×		3	130

Countries citing papers authored by Mathias Rossignol

Since Specialization

Citations

This map shows the geographic impact of Mathias Rossignol'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 Mathias Rossignol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Rossignol more than expected).

Fields of papers citing papers by Mathias Rossignol

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathias Rossignol. 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 Mathias Rossignol. The network helps show where Mathias Rossignol may publish in the future.

Co-authorship network of co-authors of Mathias Rossignol

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

All Works

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10 of 10 papers shown

1.

Rossignol, Mathias, et al.. (2018). Investigating the perception of soundscapes through acoustic scene simulation. Behavior Research Methods. 51(2). 532–555. 6 indexed citations

2.

Rossignol, Mathias, Mathieu Lagrange, & Arshia Cont. (2018). Efficient similarity-based data clustering by optimal object to cluster reallocation. PLoS ONE. 13(6). e0197450–e0197450. 5 indexed citations

3.

Misdariis, Nicolas, et al.. (2016). Semantic Browsing of Sound Databases without Keywords. Journal of the Audio Engineering Society. 64(9). 628–635. 4 indexed citations

4.

Lagrange, Mathieu, et al.. (2016). A Morphological Model for Simulating Acoustic Scenes and Its Application to Sound Event Detection. IEEE/ACM Transactions on Audio Speech and Language Processing. 24(10). 1854–1864. 19 indexed citations

5.

Rossignol, Mathias, et al.. (2010). An empirical study of maximum entropy approach for part-of-speech tagging of Vietnamese texts. HAL (Le Centre pour la Communication Scientifique Directe). 12. 26 indexed citations

6.

Nguyen, Cam, et al.. (2008). Word Segmentation of Vietnamese Texts: a Comparison of Approaches.. Language Resources and Evaluation. 20 indexed citations

7.

Romary, Laurent, et al.. (2007). A lexicon for Vietnamese language processing. Computers and the Humanities. 40(3-4). 291–309. 16 indexed citations

8.

Rossignol, Mathias, et al.. (2006). A language-independent method for the alignement of parallel corpora. Pacific Asia Conference on Language, Information, and Computation. 223–230.

9.

Rossignol, Mathias & Pascale Sébillot. (2005). Combining statistical data analysis techniques to extract topical keyword classes from corpora. Intelligent Data Analysis. 9(1). 105–127. 4 indexed citations

10.

Rossignol, Mathias & Pascale Sébillot. (2002). Automatic generation of sets of keywords for theme characterization and detection. 2 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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