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Nicolas Papadakis

Nicolas Papadakis publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, on topics such as Photoacoustic and Ultrasonic Imaging, Sparse and Compressive Sensing Techniques and Image and Signal Denoising Methods.

World rank
#927,626
of 1,633,909 ranked researchers
Rank in France
#57,505
of 96,116
Works
52
Citations
101
Citations per work
1.9

What does Nicolas Papadakis research?

Computer Vision and Pattern Recognition: 19.4%Artificial Intelligence: 15.3%Biomedical Engineering: 9.7%Radiology, Nuclear Medicine and Imaging: 6.9%other fields: 48.7%19%top field
Computer Vision and Pattern Recognition19.4%Artificial Intelligence15.3%Biomedical Engineering9.7%Radiology, Nuclear Medicine and Imaging6.9%other fields48.7%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Computer Vision and Pattern Recognition19% of their works
  2. 2Artificial Intelligence15% of their works
  3. 3Biomedical Engineering10% of their works
  4. 4Radiology, Nuclear Medicine and Imaging7% of their works
  5. 5Computational Mechanics7% of their works
  6. 6Media Technology6% of their works

Research topics

Which keywords describe Nicolas Papadakis's research?

The keywords of their largest research topics: Sparse Representation, Wavelet Transform, Deep Learning, Compressed Sensing, Meta-Learning, Photoacoustic Imaging, Signal Recovery and Tomography.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 20 words, with their numbers
  1. Sparse Representation72 topics
  2. Wavelet Transform62 topics
  3. Deep Learning52 topics
  4. Compressed Sensing41 topic
  5. Meta-Learning42 topics
  6. Photoacoustic Imaging41 topic
  7. Signal Recovery41 topic
  8. Tomography41 topic
  9. Image Denoising31 topic
  10. Image Fusion31 topic
  11. Multispectral31 topic
  12. Sparse Representations31 topic
  13. Domain Adaptation21 topic
  14. Hyperparameter Optimization21 topic
  15. Image Segmentation21 topic
  16. Medical Image Analysis21 topic
  17. Noisy Labels21 topic
  18. Persistent Homology21 topic
  19. Topological Methods21 topic
  20. Transfer Learning21 topic

Where does Nicolas Papadakis work?

Nicolas Papadakis's main affiliation in the publication record is Institut de Mathématiques de Bordeaux, France.

How many publications and citations does Nicolas Papadakis have?

Science Explorer counts 52 works and 101 citations for Nicolas Papadakis, ranking #927,626 of 1,633,909 researchers worldwide on the composite score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.