Nicolas Papadakis

2.3k citations
65 papers · 1.0k indexed · h-index 20

Nicolas Papadakis

60 papers receiving 1.0k citations

Peers

Nicolas Papadakis
Comparison fields: 5 of 111
  • Computer Vision and Pattern Recognition 483
  • Media Technology 130
  • Conservation 42
  • Computer Graphics and Computer-Aided Design 36
  • Radiation 67
Replace Anna Tonazzini with:
Anna Tonazzini Italy
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J. Bobin France
Y. Moudden France
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Citations per field
00.5×4.8×
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Citations per year

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

The 25 scholars most cited alongside Nicolas Papadakis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nicolas Papadakis Line = papers co-authored together Nicolas Papadakis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 202028
4 20206
5 20206
6 20201
7 20198
8
A multi-task U-net for segmentation with lazy labels
20196
9 201917
10
Log-PCA versus Geodesic PCA of histograms in the Wasserstein space
20171
11 201614
12 20159
13
Scale space and variational methods in computer vision : 5th International Conference, SSVM 2015, Lège-Cap Ferret, France, May 31-June 4, 2015 : proceedings
20151
14 201573
15 201542
16 20124
17 201036
18 201043
19 20102
20 19907

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), Meteorological Phenomena and Simulations (9 papers), Sparse and Compressive Sensing Techniques (8 papers), Image and Signal Denoising Methods (8 papers), Nuclear Physics and Applications (7 papers), Advanced Image Processing Techniques (6 papers) and Image Enhancement Techniques (6 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 IEEE Transactions on Image Processing, Journal of Mathematical Imaging and Vision, Tellus A Dynamic Meteorology and Oceanography, SIAM Journal on Imaging Sciences and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

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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