Grégoire Pau

4.5k total citations · 1 hit paper
19 papers, 1.5k citations indexed

About

Grégoire Pau is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Signal Processing. According to data from OpenAlex, Grégoire Pau has authored 19 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Molecular Biology and 7 papers in Signal Processing. Recurrent topics in Grégoire Pau's work include Image and Signal Denoising Methods (10 papers), Advanced Data Compression Techniques (10 papers) and Video Coding and Compression Technologies (4 papers). Grégoire Pau is often cited by papers focused on Image and Signal Denoising Methods (10 papers), Advanced Data Compression Techniques (10 papers) and Video Coding and Compression Technologies (4 papers). Grégoire Pau collaborates with scholars based in France, Germany and United States. Grégoire Pau's co-authors include Wolfgang Huber, Michael Boutros, Florian Fuchs, Jan O. Korbel, Anna Jauch, Julien Gagneur, Paul Theodor Pyl, Manu M. Tekkedil, Jonathan J. M. Landry and Adrian M. Stütz and has published in prestigious journals such as Bioinformatics, PLoS ONE and Hepatology.

In The Last Decade

Grégoire Pau

18 papers receiving 1.5k citations

Hit Papers

EBImage—an R package for image processing with applicatio... 2010 2026 2015 2020 2010 100 200 300 400

Peers

Grégoire Pau
Comparison fields: 5 of 156
  • Molecular Biology 904
  • Biophysics 190
  • Genetics 174
  • Oncology 131
  • Epidemiology 131
Replace Taijiao Jiang with:
Taijiao Jiang China
Roland F. Schwarz Germany
Winfried Wiegraebe United States
Brian E. Hall United States
Hailiang Mei Netherlands
Eva Bártová Czechia
Florian Hahne United States
Daniel B. Burkhardt Australia
Andrew Filby United Kingdom
Yan Mei China
Taijiao Jiang China View profile →
Citations per field, relative to Grégoire Pau
Grégoire Pau · 1×
Citations per year, relative to Grégoire Pau
Grégoire Pau · 1×

Countries citing papers authored by Grégoire Pau

Since Specialization
Citations

This map shows the geographic impact of Grégoire Pau'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 Grégoire Pau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grégoire Pau more than expected).

Fields of papers citing papers by Grégoire Pau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grégoire Pau. 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 Grégoire Pau. The network helps show where Grégoire Pau may publish in the future.

Co-authorship network of co-authors of Grégoire Pau

This figure shows the co-authorship network connecting the top 25 collaborators of Grégoire Pau. A scholar is included among the top collaborators of Grégoire Pau 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 Grégoire Pau. Grégoire Pau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 5
2 95
3 296
4 84
5 11
6 335
7
EBImage—an R package for image processing with applications to cellular phenotypes breakdown →
491
8 108
9 2
10 12
11 7
12 1
13 0
14 1
15 6
16 1
17 10
18 30
19 11

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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