Bruno Lecouat

1.2k citations
4 papers · 264 indexed · h-index 3
Topics
Advanced Image Processing Techniques (2 papers)Stochastic Gradient Optimization Techniques (1 paper)Bacillus and Francisella bacterial research (1 paper)
Journals
ACM Transactions on Graphics2021 IEEE/CVF International Conference on Computer Vision (ICCV)arXiv (Cornell University)
Partner nations
FranceSingaporeBurundi

In The Last Decade

Bruno Lecouat

4 papers receiving 251 citations

Peers

Bruno Lecouat
Comparison fields: 5 of 54
  • Artificial Intelligence 213
  • Computer Networks and Communications 115
  • Computer Vision and Pattern Recognition 66
  • Signal Processing 59
  • Control and Systems Engineering 32
Replace Houssam Zenati with:
Houssam Zenati France
Barış Koçer Türkiye
Marco Rudolph Germany
Bastian Wandt Sweden
Tom Wehrbein Germany
Zdeněk Martinásek Czechia
Wenhan Zhang United States
Bruno Lecouat relative to Houssam Zenati France Houssam Zenati's profile →
Citations per field
00.5×1.5×
Houssam Zenati · 1×
Citations per year

Countries citing papers authored by Bruno Lecouat

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Lecouat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Lecouat

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1 19
2 1
3
Mirror descent in saddle-point problems: Going the extra (gradient) mile.
9
4 235

About Bruno Lecouat

Bruno Lecouat is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 4 papers that have together received 264 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (2 papers), Stochastic Gradient Optimization Techniques (1 paper) and Bacillus and Francisella bacterial research (1 paper). The work is most often cited by research in Artificial Intelligence (213 citations), Signal Processing (59 citations) and Computer Networks and Communications (115 citations). Bruno Lecouat has collaborated with scholars based in France, Singapore and Burundi. Frequent co-authors include Houssam Zenati, Chuan-Sheng Foo, Vijay Chandrasekhar, Julien Mairal, Jean Ponce, Georgios Piliouras and Panayotis Mertikopoulos. Their work appears in journals such as ACM Transactions on Graphics, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

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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