Mathieu Blondel

66.7k total citations
23 papers, 284 citations indexed

About

Mathieu Blondel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Mathieu Blondel has authored 23 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Computational Mechanics. Recurrent topics in Mathieu Blondel's work include Sparse and Compressive Sensing Techniques (5 papers), Machine Learning and Algorithms (5 papers) and Face and Expression Recognition (5 papers). Mathieu Blondel is often cited by papers focused on Sparse and Compressive Sensing Techniques (5 papers), Machine Learning and Algorithms (5 papers) and Face and Expression Recognition (5 papers). Mathieu Blondel collaborates with scholars based in Japan, United States and France. Mathieu Blondel's co-authors include Naonori Ueda, Kazuhiro Seki, Kuniaki Uehara, Akio Onogi, Hiroyoshi Iwata, Akinori Fujino, Jean‐Philippe Vert, Olivier Teboul, Vlad Niculae and Quentin Berthet and has published in prestigious journals such as PLoS ONE, Nature Methods and Journal of Medical Internet Research.

In The Last Decade

Mathieu Blondel

22 papers receiving 275 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 Blondel Japan 11 98 62 44 37 37 23 284
Saïd Najah Morocco 8 76 0.8× 151 2.4× 9 0.2× 49 1.3× 8 0.2× 26 293
T. Krishnan India 8 109 1.1× 47 0.8× 29 0.7× 26 0.7× 2 0.1× 28 301
Zhenhua Lin Singapore 11 100 1.0× 19 0.3× 10 0.2× 24 0.6× 4 0.1× 27 329
María J. Martín Spain 14 42 0.4× 8 0.1× 104 2.4× 68 1.8× 54 1.5× 81 529
Ethan X. Fang United States 9 129 1.3× 28 0.5× 8 0.2× 43 1.2× 3 0.1× 24 383
Wen‐Shiung Chen Taiwan 11 24 0.2× 150 2.4× 13 0.3× 12 0.3× 3 0.1× 32 322
Nesma Settouti Algeria 10 177 1.8× 82 1.3× 3 0.1× 26 0.7× 6 0.2× 38 341

Countries citing papers authored by Mathieu Blondel

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Blondel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Blondel

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Blondel. A scholar is included among the top collaborators of Mathieu Blondel 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 Blondel. Mathieu Blondel 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.
Llinares-López, Felipe, Quentin Berthet, Mathieu Blondel, Olivier Teboul, & Jean‐Philippe Vert. (2022). Deep embedding and alignment of protein sequences. Nature Methods. 20(1). 104–111. 26 indexed citations
2.
Blondel, Mathieu, Arthur Mensch, & Jean‐Philippe Vert. (2021). Differentiable Divergences Between Time Series. International Conference on Artificial Intelligence and Statistics. 3853–3861. 3 indexed citations
3.
Berthet, Quentin, Mathieu Blondel, Olivier Teboul, et al.. (2020). Learning with Differentiable Pertubed Optimizers. Neural Information Processing Systems. 33. 9508–9519. 20 indexed citations
4.
Niculae, Vlad, André F. T. Martins, Mathieu Blondel, & Claire Cardie. (2018). SparseMAP: Differentiable Sparse Structured Inference. International Conference on Machine Learning. 3799–3808. 11 indexed citations
5.
Blondel, Mathieu, et al.. (2018). Smooth and Sparse Optimal Transport. International Conference on Artificial Intelligence and Statistics. 880–889. 15 indexed citations
6.
Mensch, Arthur & Mathieu Blondel. (2018). Differentiable Dynamic Programming for Structured Prediction and Attention. SPIRE - Sciences Po Institutional REpository. 3 indexed citations
7.
Seguy, Vivien, et al.. (2018). Blind source separation with optimal transport non-negative matrix factorization. EURASIP Journal on Advances in Signal Processing. 2018(1). 10 indexed citations
8.
Niculae, Vlad & Mathieu Blondel. (2017). A Regularized Framework for Sparse and Structured Neural Attention. Neural Information Processing Systems. 30. 3338–3348. 13 indexed citations
9.
Fujiwara, Yasuhiro, et al.. (2017). Scaling Locally Linear Embedding. 1479–1492. 4 indexed citations
10.
Fujiwara, Yasuhiro, et al.. (2017). SVD-Based Screening for the Graphical Lasso. 1682–1688. 1 indexed citations
11.
Blondel, Mathieu, et al.. (2016). Polynomial networks and factorization machines: new insights and efficient training algorithms. International Conference on Machine Learning. 850–858. 14 indexed citations
12.
Blondel, Mathieu & Fabián Pedregosa. (2016). Lightning: large-scale linear classification, regression and ranking in Python. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations
13.
Blondel, Mathieu, et al.. (2016). Higher-Order Factorization Machines. arXiv (Cornell University). 29. 3359–3367. 16 indexed citations
14.
Blondel, Mathieu, Akio Onogi, Hiroyoshi Iwata, & Naonori Ueda. (2015). A Ranking Approach to Genomic Selection. PLoS ONE. 10(6). e0128570–e0128570. 45 indexed citations
15.
Nohara, Yasunobu, Partha Pratim Ghosh, Ashir Ahmed, et al.. (2015). Health Checkup and Telemedical Intervention Program for Preventive Medicine in Developing Countries: Verification Study. Journal of Medical Internet Research. 17(1). e2–e2. 24 indexed citations
16.
Baba, Yukino, Hisashi Kashima, Yasunobu Nohara, et al.. (2015). Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries. 1681–1690. 3 indexed citations
17.
Blondel, Mathieu, et al.. (2014). {Online Passive-Aggressive Algorithms for Non-Negative Matrix Factorization and Completion}. The American Surgeon. 74(2). 96–104. 13 indexed citations
18.
Blondel, Mathieu, Kazuhiro Seki, & Kuniaki Uehara. (2011). Tackling class imbalance and data scarcity in literature-based gene function annotation. 1123–1124. 4 indexed citations
19.
Blondel, Mathieu, Kazuhiro Seki, & Kuniaki Uehara. (2010). Unsupervised Learning of Stroke Tagger for Online Kanji Handwriting Recognition. 1973–1976.
20.
Blondel, Mathieu, et al.. (1990). THEORY AND REALITY OF EVALUATION EVALUATION AND TEXT JUMBLER. Computer Assisted Language Learning. 3(1). 55–67. 1 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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