Nelly Pustelnik
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 5%
- Biomedical Engineering
- Pediatrics, Perinatology and Child Health
- Mathematical Physics top 10%
- Co-authors
- Jean‐Christophe PesquetCaroline ChauxPatrice AbryPierre BorgnatPatrick FlandrinLaurent CondatBéatrice Pesquet‐PopescuGiovanni Chierchia
- Topics
- Image and Signal Denoising Methods (23 papers)Sparse and Compressive Sensing Techniques (19 papers)Medical Image Segmentation Techniques (14 papers)
- Partner nations
- FranceChileUnited States
In The Last Decade
Nelly Pustelnik
53 papers receiving 635 citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 253
- Computational Mechanics 240
- Biomedical Engineering 115
- Pediatrics, Perinatology and Child Health 70
- Mathematical Physics 67
Countries citing papers authored by Nelly Pustelnik
This map shows the geographic impact of Nelly Pustelnik'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 Nelly Pustelnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nelly Pustelnik more than expected).
Fields of papers citing papers by Nelly Pustelnik
This network shows the impact of papers produced by Nelly Pustelnik. 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 Nelly Pustelnik. The network helps show where Nelly Pustelnik may publish in the future.
Co-authorship network of co-authors of Nelly Pustelnik
This figure shows the co-authorship network connecting the top 25 collaborators of Nelly Pustelnik. A scholar is included among the top collaborators of Nelly Pustelnik 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 Nelly Pustelnik. Nelly Pustelnik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 15 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 13 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 10 | |
| 17 | 84 | |
| 18 | Solving inverse problems with overcomplete transforms and convex optimization techniques | 1 |
| 19 | 10 | |
| 20 | 49 |
About Nelly Pustelnik
Nelly Pustelnik is a scholar working on Computer Vision and Pattern Recognition, Modeling and Simulation and Mathematical Physics, having authored 59 papers that have together received 652 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (23 papers), Sparse and Compressive Sensing Techniques (19 papers) and Medical Image Segmentation Techniques (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (253 citations), Computational Mechanics (240 citations) and Mathematical Physics (67 citations). Nelly Pustelnik has collaborated with scholars based in France, Chile and United States. Frequent co-authors include Jean‐Christophe Pesquet, Caroline Chaux, Patrice Abry, Pierre Borgnat, Patrick Flandrin, Laurent Condat, Béatrice Pesquet‐Popescu, Giovanni Chierchia, Muriel Doret and Jiří Spilka. Their work appears in journals such as PLoS ONE, IEEE Transactions on Image Processing and IEEE Transactions on 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.