Nicolas Papadakis

2.3k total citations
65 papers, 1.0k citations indexed

About

Nicolas Papadakis is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Atmospheric Science. According to data from OpenAlex, Nicolas Papadakis has authored 65 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 12 papers in Computational Mechanics and 9 papers in Atmospheric Science. Recurrent topics in Nicolas Papadakis's work include Medical Image Segmentation Techniques (12 papers), Advanced Vision and Imaging (12 papers) and Meteorological Phenomena and Simulations (9 papers). Nicolas Papadakis is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Advanced Vision and Imaging (12 papers) and Meteorological Phenomena and Simulations (9 papers). Nicolas Papadakis collaborates with scholars based in France, Spain and Netherlands. Nicolas Papadakis's 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 and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Nicolas Papadakis

60 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicolas Papadakis France 20 483 130 128 119 117 65 1.0k
Ali Mohammad‐Djafari France 24 327 0.7× 180 1.4× 231 1.8× 230 1.9× 71 0.6× 196 1.8k
Romain Murenzi United States 14 668 1.4× 228 1.8× 72 0.6× 72 0.6× 31 0.3× 57 1.1k
A. Bijaoui France 19 751 1.6× 367 2.8× 92 0.7× 155 1.3× 37 0.3× 80 1.7k
J. Bobin France 18 604 1.3× 200 1.5× 81 0.6× 471 4.0× 26 0.2× 72 1.7k
Yoann Altmann United Kingdom 23 303 0.6× 782 6.0× 145 1.1× 117 1.0× 376 3.2× 108 2.1k
Stéphane G. Roux France 15 144 0.3× 26 0.2× 87 0.7× 62 0.5× 57 0.5× 38 800
Saïd Moussaoui France 18 97 0.2× 233 1.8× 99 0.8× 87 0.7× 163 1.4× 73 985
Yann Gousseau France 22 1.4k 2.9× 364 2.8× 45 0.4× 151 1.3× 74 0.6× 60 1.8k
Zhanchuan Cai Macao 21 895 1.9× 241 1.9× 18 0.1× 38 0.3× 128 1.1× 131 1.5k
Ru‐Shan Wu United States 40 542 1.1× 44 0.3× 86 0.7× 149 1.3× 15 0.1× 290 6.0k

Countries citing papers authored by Nicolas Papadakis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Papadakis, Nicolas, et al.. (2024). A Unified Framework for Hard and Soft Clustering with Regularized Optimal Transport. 1826–1830. 1 indexed citations
2.
Papadakis, Nicolas, et al.. (2024). Non-local Matching of Superpixel-based Deep Features for Color Transfer and Colorization. Image Processing On Line. 14. 232–249.
3.
Avilés-Rivero, Angelica I., et al.. (2020). GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for\n Identifying COVID-19 on Chest X-rays. arXiv (Cornell University). 28 indexed citations
4.
Papadakis, Nicolas, et al.. (2020). Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks. arXiv (Cornell University). 6 indexed citations
5.
Maitre, Emmanuel, et al.. (2020). On the convergence of augmented Lagrangian method for optimal transport between nonnegative densities. Journal of Mathematical Analysis and Applications. 485(2). 123811–123811. 6 indexed citations
6.
Papadakis, Nicolas & et al.. (2020). INCLUSIVE PRODUCTION OF INTERMEDIATE MASS FRAGMENTS IN 20Ne+Ag,Au INTERACTIONS AT 20-60 MeV/nucleon. 2. 42–42. 1 indexed citations
7.
Aujol, Jean–François, et al.. (2019). Rayleigh quotient minimization for absolutely one-homogeneous functionals. Inverse Problems. 35(6). 64003–64003. 8 indexed citations
8.
Bugeau, Aurélie, et al.. (2019). A multi-task U-net for segmentation with lazy labels. arXiv (Cornell University). 6 indexed citations
9.
Bigot, Jérémie, et al.. (2019). Central limit theorems for entropy-regularized optimal transport on finite spaces and statistical applications. Electronic Journal of Statistics. 13(2). 17 indexed citations
10.
Seguy, Vivien, et al.. (2017). Log-PCA versus Geodesic PCA of histograms in the Wasserstein space. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
11.
Deledalle, Charles‐Alban, Nicolas Papadakis, Joseph Salmon, & Samuel Vaiter. (2016). CLEAR: Covariant LEAst-square Re-fitting with applications to image\n restoration. arXiv (Cornell University). 14 indexed citations
12.
Chabot, Vincent, Maëlle Nodet, Nicolas Papadakis, & Arthur Vidard. (2015). Accounting for observation errors in image data assimilation. Tellus A Dynamic Meteorology and Oceanography. 67(1). 23629–23629. 9 indexed citations
13.
Aujol, Jean–François, et al.. (2015). Scale space and variational methods in computer vision : 5th International Conference, SSVM 2015, Lège-Cap Ferret, France, May 31-June 4, 2015 : proceedings. Springer eBooks. 1 indexed citations
14.
Zachiu, Cornel, et al.. (2015). An improved optical flow tracking technique for real-time MR-guided beam therapies in moving organs. Physics in Medicine and Biology. 60(23). 9003–9029. 73 indexed citations
15.
Giraud, Rémi, Vinh‐Thong Ta, Nicolas Papadakis, et al.. (2015). An Optimized PatchMatch for multi-scale and multi-feature label fusion. NeuroImage. 124(Pt A). 770–782. 42 indexed citations
16.
Papadakis, Nicolas, Aurélie Bugeau, & Vicent Caselles. (2012). Image Editing With Spatiograms Transfer. IEEE Transactions on Image Processing. 21(5). 2513–2522. 4 indexed citations
17.
Papadakis, Nicolas & Aurélie Bugeau. (2010). Tracking with Occlusions via Graph Cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(1). 144–157. 36 indexed citations
18.
Papadakis, Nicolas, Edoardo Provenzi, & Vicent Caselles. (2010). A Variational Model for Histogram Transfer of Color Images. IEEE Transactions on Image Processing. 20(6). 1682–1695. 43 indexed citations
19.
Papadakis, Nicolas, Antonio Baeza, Aurélie Bugeau, et al.. (2010). Virtual Camera Synthesis for Soccer Game Replays. INFM-OAR (INFN Catania). 142. 97–106. 2 indexed citations
20.
Papadakis, Nicolas, Y. Cassagnou, R. Dayras, et al.. (1990). Global features of intermediate mass fragment cross sections in Ne induced interactions. Physics Letters B. 240(3-4). 317–321. 7 indexed citations

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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