Mathieu Blondel
Impact in
- Artificial Intelligence top 0.02%
- Topic Modeling
- Anomaly Detection Techniques and Applications
- Natural Language Processing Techniques
- Machine Learning and Data Classification
- Sentiment Analysis and Opinion Mining
- Signal Processing top 0.1%
Papers in
-
- Machine Learning and Algorithms 5
- Natural Language Processing Techniques 2
- Topic Modeling 2
- Speech Recognition and Synthesis 1
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- Sparse and Compressive Sensing Techniques 6
- Co-authors
- David Cournapeau (1 shared paper)Peter Prettenhofer (1 shared paper)Fabián Pedregosa (1 shared paper)Alexandre Gramfort (1 shared paper)Vincent Dubourg (1 shared paper)Matthieu Brucher (1 shared paper)Matthieu Perrot (1 shared paper)Édouard Duchesnay (1 shared paper)
- Journals
- Journal of Medical Internet Research (1 paper)Nature Methods (1 paper)Computer Assisted Language Learning (1 paper)PLoS ONE (1 paper)Machine Learning (1 paper)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Mathieu Blondel
23 papers receiving 45.1k citations
Mathieu Blondel's Hit Papers
Peers
Comparison fields: 5 of 239
- Artificial Intelligence 13.1k
- Signal Processing 2.9k
- Computer Vision and Pattern Recognition 3.8k
- Environmental Engineering 2.2k
- Health Information Management 578
Countries citing papers authored by Mathieu Blondel
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
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-authors
The 25 scholars most cited alongside Mathieu Blondel, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Scikit-learn: Machine Learning in Python Hit paper breakdown → | 2012 | 46349 |
| 2 | 2015 | 53 | |
| 3 | 2013 | 48 | |
| 4 | 2015 | 32 | |
| 5 | 2022 | 29 | |
| 6 | 2015 | 29 | |
| 7 | Learning with Differentiable Pertubed Optimizers | 2020 | 22 |
| 8 | A Regularized Framework for Sparse and Structured Neural Attention | 2017 | 21 |
| 9 | Polynomial networks and factorization machines: new insights and efficient training algorithms | 2016 | 17 |
| 10 | SparseMAP: Differentiable Sparse Structured Inference | 2018 | 17 |
| 11 | {Online Passive-Aggressive Algorithms for Non-Negative Matrix Factorization and Completion} | 2014 | 16 |
| 12 | Smooth and Sparse Optimal Transport | 2018 | 15 |
| 13 | 2018 | 11 | |
| 14 | 2014 | 11 | |
| 15 | 2015 | 5 | |
| 16 | 2011 | 4 | |
| 17 | 2017 | 4 | |
| 18 | Differentiable Divergences Between Time Series | 2021 | 2 |
| 19 | Differentiable Dynamic Programming for Structured Prediction and Attention | 2018 | 2 |
| 20 | 2017 | 1 |
About Mathieu Blondel
Mathieu Blondel is a scholar working on Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition, Signal Processing and Computational Mathematics, having authored 25 papers that have together received 46.7k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (6 papers), Face and Expression Recognition (5 papers), Machine Learning and Algorithms (5 papers), Machine Learning in Bioinformatics (2 papers), Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers), Speech and Audio Processing (2 papers) and Speech Recognition and Synthesis (1 paper). The work is most often cited by research in Artificial Intelligence (13.1k citations), Signal Processing (2.9k citations), Computer Vision and Pattern Recognition (3.8k citations), Environmental Engineering (2.2k citations) and Health Information Management (578 citations). Mathieu Blondel has collaborated with scholars based in Japan, United States and France. Frequent co-authors include David Cournapeau, Peter Prettenhofer, Fabián Pedregosa, Alexandre Gramfort, Vincent Dubourg, Matthieu Brucher, Matthieu Perrot, Édouard Duchesnay, Alexandre Passos and Jake Vanderplas. Their work appears in journals such as Journal of Medical Internet Research, Nature Methods, Computer Assisted Language Learning, PLoS ONE and Machine Learning.
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.