Fabián Pedregosa
- Cognitive Neuroscience
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Molecular Biology
- Computational Mechanics
- Co-authors
- Michael EickenbergBertrand ThirionPhilippe CiuciuAlexandre GramfortDamien ScieurMathieu BlondelBart van MerriënboerCecilia Jiménez‐Sánchez
- Topics
- Sparse and Compressive Sensing Techniques (3 papers)Stochastic Gradient Optimization Techniques (3 papers)Machine Learning and ELM (2 papers)
- Partner nations
- United StatesFranceSouth Korea
In The Last Decade
Fabián Pedregosa
10 papers receiving 74 citations
Peers
Comparison fields: 5 of 39
- Cognitive Neuroscience 36
- Artificial Intelligence 22
- Radiology, Nuclear Medicine and Imaging 21
- Molecular Biology 7
- Computational Mechanics 6
Countries citing papers authored by Fabián Pedregosa
This map shows the geographic impact of Fabián Pedregosa'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 Fabián Pedregosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabián Pedregosa more than expected).
Fields of papers citing papers by Fabián Pedregosa
This network shows the impact of papers produced by Fabián Pedregosa. 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 Fabián Pedregosa. The network helps show where Fabián Pedregosa may publish in the future.
Co-authorship network of co-authors of Fabián Pedregosa
This figure shows the co-authorship network connecting the top 25 collaborators of Fabián Pedregosa. A scholar is included among the top collaborators of Fabián Pedregosa 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 Fabián Pedregosa. Fabián Pedregosa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | Linearly Convergent Frank-Wolfe without Line-Search. | 0 |
| 4 | Acceleration through spectral density estimation | 4 |
| 5 | Universal Asymptotic Optimality of Polyak Momentum | 2 |
| 6 | Information matrices and generalization | 4 |
| 7 | Step-Size Adaptivity in Projection-Free Optimization | 3 |
| 8 | Variance Reduced Three Operator Splitting | 0 |
| 9 | Frank-Wolfe Splitting via Augmented Lagrangian Method | 1 |
| 10 | 5 | |
| 11 | 45 | |
| 12 | 2 |
About Fabián Pedregosa
Fabián Pedregosa is a scholar working on Statistics and Probability, Artificial Intelligence and Numerical Analysis, having authored 12 papers that have together received 76 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (3 papers), Stochastic Gradient Optimization Techniques (3 papers) and Machine Learning and ELM (2 papers). The work is most often cited by research in Cognitive Neuroscience (36 citations), Computational Mathematics (1 citation) and Radiology, Nuclear Medicine and Imaging (21 citations). Fabián Pedregosa has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Michael Eickenberg, Bertrand Thirion, Philippe Ciuciu, Alexandre Gramfort, Damien Scieur, Mathieu Blondel, Bart van Merriënboer, Cecilia Jiménez‐Sánchez, Isabel Borrás‐Linares and Antonio Segura‐Carretero. Their work appears in journals such as NeuroImage, Molecules and Foundations of Computational Mathematics.
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.