Erwan Le Pennec
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 1%
- Computational Mechanics top 5%
- Signal Processing top 10%
- Artificial Intelligence
- Co-authors
- Stéphane MallatSerge X. CohenVincent RivoirardKarine BertinJoseph SalmonCharles DossalGabriel PeyréJosselin Garnier
- Topics
- Image and Signal Denoising Methods (11 papers)Bayesian Methods and Mixture Models (6 papers)Statistical Methods and Inference (5 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Erwan Le Pennec
28 papers receiving 900 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 777
- Media Technology 426
- Computational Mechanics 200
- Signal Processing 95
- Artificial Intelligence 60
Countries citing papers authored by Erwan Le Pennec
This map shows the geographic impact of Erwan Le Pennec'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 Erwan Le Pennec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erwan Le Pennec more than expected).
Fields of papers citing papers by Erwan Le Pennec
This network shows the impact of papers produced by Erwan Le Pennec. 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 Erwan Le Pennec. The network helps show where Erwan Le Pennec may publish in the future.
Co-authorship network of co-authors of Erwan Le Pennec
This figure shows the co-authorship network connecting the top 25 collaborators of Erwan Le Pennec. A scholar is included among the top collaborators of Erwan Le Pennec 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 Erwan Le Pennec. Erwan Le Pennec is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | A Word Cloud Geom for 'ggplot2' [R package ggwordcloud version 0.5.0] | 1 |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | Conditional Density Estimation by Penalized Likelihood Model Selection | 2 |
| 11 | 24 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 29 | |
| 15 | 12 | |
| 16 | Sparse geometric image representations with bandeletsbreakdown → | 589 |
| 17 | 139 | |
| 18 | 11 | |
| 19 | 4 | |
| 20 | 72 |
About Erwan Le Pennec
Erwan Le Pennec is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Statistics and Probability, having authored 29 papers that have together received 992 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (11 papers), Bayesian Methods and Mixture Models (6 papers) and Statistical Methods and Inference (5 papers). The work is most often cited by research in Media Technology (426 citations), Computer Vision and Pattern Recognition (777 citations) and Computational Mechanics (200 citations). Erwan Le Pennec has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Stéphane Mallat, Serge X. Cohen, Vincent Rivoirard, Karine Bertin, Joseph Salmon, Charles Dossal, Gabriel Peyré, Josselin Garnier, Stéphanie Leroy and Loïc Bertrand. Their work appears in journals such as Cancer, IEEE Transactions on Image Processing and Signal Processing.
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.