Nicolas Papadakis
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computational Mechanics top 10%
- Atmospheric Science top 10%
- Co-authors
- Aurélie BugeauVinh‐Thong TaÉtienne MéminVicent CasellesRémi GiraudPatrick HéasAnne CuzolCostas Balas
- Topics
- Medical Image Segmentation Techniques (12 papers)Advanced Vision and Imaging (12 papers)Meteorological Phenomena and Simulations (9 papers)
- Journals
- Physical Review LettersIEEE Transactions on Pattern Analysis and Machine IntelligenceNeuroImage
- Partner nations
- FranceSpainNetherlands
In The Last Decade
Nicolas Papadakis
60 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 483
- Media Technology 130
- Radiology, Nuclear Medicine and Imaging 128
- Computational Mechanics 119
- Atmospheric Science 117
Countries citing papers authored by Nicolas Papadakis
This map shows the geographic impact of Nicolas Papadakis'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 Nicolas Papadakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Papadakis more than expected).
Fields of papers citing papers by Nicolas Papadakis
This network shows the impact of papers produced by Nicolas Papadakis. 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 Nicolas Papadakis. The network helps show where Nicolas Papadakis may publish in the future.
Co-authorship network of co-authors of Nicolas Papadakis
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Papadakis. A scholar is included among the top collaborators of Nicolas Papadakis 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 Nicolas Papadakis. Nicolas Papadakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 28 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | A multi-task U-net for segmentation with lazy labels | 6 |
| 9 | 17 | |
| 10 | Log-PCA versus Geodesic PCA of histograms in the Wasserstein space | 1 |
| 11 | 14 | |
| 12 | 9 | |
| 13 | Scale space and variational methods in computer vision : 5th International Conference, SSVM 2015, Lège-Cap Ferret, France, May 31-June 4, 2015 : proceedings | 1 |
| 14 | 73 | |
| 15 | 42 | |
| 16 | 4 | |
| 17 | 36 | |
| 18 | 43 | |
| 19 | 2 | |
| 20 | 7 |
About Nicolas Papadakis
Nicolas Papadakis is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Radiation, having authored 65 papers that have together received 1.0k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Advanced Vision and Imaging (12 papers) and Meteorological Phenomena and Simulations (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (483 citations), Media Technology (130 citations) and Conservation (42 citations). Nicolas Papadakis has collaborated with scholars based in France, Spain and Netherlands. Frequent co-authors include Aurélie Bugeau, Vinh‐Thong Ta, Étienne Mémin, Vicent Caselles, Étienne Mémin, Rémi Giraud, Patrick Héas, Anne Cuzol, Costas Balas and Antonios Papadakis. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.
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.