Mathieu Ravaut

437 total citations
13 papers, 187 citations indexed

About

Mathieu Ravaut is a scholar working on Artificial Intelligence, Epidemiology and General Health Professions. According to data from OpenAlex, Mathieu Ravaut has authored 13 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Epidemiology and 1 paper in General Health Professions. Recurrent topics in Mathieu Ravaut's work include Topic Modeling (7 papers), Natural Language Processing Techniques (4 papers) and Chronic Disease Management Strategies (3 papers). Mathieu Ravaut is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (4 papers) and Chronic Disease Management Strategies (3 papers). Mathieu Ravaut collaborates with scholars based in Singapore, Canada and United States. Mathieu Ravaut's co-authors include Maksims Volkovs, Kathy Kornas, Tristan Watson, Tomi Poutanen, Vinyas Harish, Laura C. Rosella, Alanna Weisman, Gary F. Lewis, Shafiq Joty and Nancy F. Chen and has published in prestigious journals such as BMJ Open, JAMA Network Open and npj Digital Medicine.

In The Last Decade

Mathieu Ravaut

11 papers receiving 182 citations

Peers

Mathieu Ravaut
Zhouyu Guan China
Aixia Guo United States
Chungsoo Kim South Korea
Mariagrazia Zottoli United Kingdom
Varun Buch United States
Jia Shu China
Abigail E. Huang United States
Samantha Mann United Kingdom
Leon Kopitar Slovenia
Francesca Raimondi United Kingdom
Zhouyu Guan China
Mathieu Ravaut
Citations per year, relative to Mathieu Ravaut Mathieu Ravaut (= 1×) peers Zhouyu Guan

Countries citing papers authored by Mathieu Ravaut

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Ravaut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Ravaut

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

All Works

13 of 13 papers shown
1.
Ravaut, Mathieu, et al.. (2024). Parameter-Efficient Conversational Recommender System as a Language Processing Task. 152–165. 1 indexed citations
2.
Ravaut, Mathieu, Chin‐Siang Ang, Hanyu Wang, et al.. (2024). Understanding COVID-19 Impacts on the Health Workforce: AI-Assisted Open-Source Media Content Analysis. JMIR Formative Research. 8. e53574–e53574. 1 indexed citations
3.
4.
Ravaut, Mathieu, Aixin Sun, Nancy F. Chen, & Shafiq Joty. (2024). On Context Utilization in Summarization with Large Language Models. 2764–2781. 9 indexed citations
5.
6.
Ravaut, Mathieu, Shafiq Joty, & Nancy F. Chen. (2023). Unsupervised Summarization Re-ranking. 8341–8376.
7.
Ravaut, Mathieu, Shafiq Joty, & Nancy F. Chen. (2022). Towards Summary Candidates Fusion. 8488–8504. 5 indexed citations
8.
Ravaut, Mathieu, Shafiq Joty, & Nancy F. Chen. (2022). SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 4504–4524. 1 indexed citations
9.
Harish, Vinyas, Jahir M. Gutierrez, Mathieu Ravaut, et al.. (2022). Predicting hospitalisations related to ambulatory care sensitive conditions with machine learning for population health planning: derivation and validation cohort study. BMJ Open. 12(4). e051403–e051403. 8 indexed citations
10.
Ravaut, Mathieu, Maksims Volkovs, Kathy Kornas, et al.. (2021). Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data. npj Digital Medicine. 4(1). 24–24. 71 indexed citations
11.
Ravaut, Mathieu, Vinyas Harish, Maksims Volkovs, et al.. (2021). Development and Validation of a Machine Learning Model Using Administrative Health Data to Predict Onset of Type 2 Diabetes. JAMA Network Open. 4(5). e2111315–e2111315. 50 indexed citations
12.
Volkovs, Maksims, Mathieu Ravaut, Hojin Yang, et al.. (2020). Predicting Twitter Engagement With Deep Language Models. 38–43. 1 indexed citations
13.
Ravaut, Mathieu, et al.. (2017). Deep learning applied to underwater mine warfare. OCEANS 2017 - Aberdeen. 1–7. 39 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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