Olivier Fercoq

1.1k total citations
21 papers, 257 citations indexed

About

Olivier Fercoq is a scholar working on Artificial Intelligence, Computational Mechanics and Numerical Analysis. According to data from OpenAlex, Olivier Fercoq has authored 21 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Computational Mechanics and 3 papers in Numerical Analysis. Recurrent topics in Olivier Fercoq's work include Sparse and Compressive Sensing Techniques (11 papers), Stochastic Gradient Optimization Techniques (9 papers) and Mathematical Biology Tumor Growth (3 papers). Olivier Fercoq is often cited by papers focused on Sparse and Compressive Sensing Techniques (11 papers), Stochastic Gradient Optimization Techniques (9 papers) and Mathematical Biology Tumor Growth (3 papers). Olivier Fercoq collaborates with scholars based in France, Belgium and Romania. Olivier Fercoq's co-authors include Peter Richtárik, Zheng Qu, Pascal Bianchi, Marianne Akian, Stéphane Gaubert, Volkan Cevher, Thomas Lepoutre, Shoko Saito, Francesco Locatello and Joseph Salmon and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and SIAM Review.

In The Last Decade

Olivier Fercoq

20 papers receiving 242 citations

Peers

Olivier Fercoq
Comparison fields: 5 of 55
  • Artificial Intelligence 131
  • Computational Mechanics 130
  • Numerical Analysis 55
  • Computational Theory and Mathematics 42
  • Computer Networks and Communications 25
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Citations per field, relative to Olivier Fercoq
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Citations per year, relative to Olivier Fercoq
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Countries citing papers authored by Olivier Fercoq

Since Specialization
Citations

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

Fields of papers citing papers by Olivier Fercoq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olivier Fercoq

This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Fercoq. A scholar is included among the top collaborators of Olivier Fercoq 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 Olivier Fercoq. Olivier Fercoq 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
# Work Indexed citations
1 2
2 1
3 1
4 9
5
Improved Optimistic Algorithms for Logistic Bandits
1
6
Almost surely constrained convex optimization
1
7
Benchmarking GNN-CMA-ES on the BBOB noiseless testbed
1
8 22
9 1
10 6
11 5
12
GAP Safe Screening Rules for Sparse-Group-Lasso
3
13 4
14 11
15 111
16 6
17
PageRank optimization applied to spam detection
0
18 26
19 22
20 3

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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