Gilles Puy

1.9k total citations
42 papers, 826 citations indexed

About

Gilles Puy is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gilles Puy has authored 42 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Mechanics, 17 papers in Computer Vision and Pattern Recognition and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gilles Puy's work include Sparse and Compressive Sensing Techniques (18 papers), Advanced MRI Techniques and Applications (8 papers) and Medical Imaging Techniques and Applications (7 papers). Gilles Puy is often cited by papers focused on Sparse and Compressive Sensing Techniques (18 papers), Advanced MRI Techniques and Applications (8 papers) and Medical Imaging Techniques and Applications (7 papers). Gilles Puy collaborates with scholars based in France, Switzerland and United Kingdom. Gilles Puy's co-authors include Pierre Vandergheynst, Alexandre Boulch, Renaud Marlet, Rémi Gribonval, Yves Wiaux, Spyros Gidaris, Andrei Bursuc, Nicolas Tremblay, Mike Davies and Patrick Pérez and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Information Theory and IEEE Transactions on Image Processing.

In The Last Decade

Gilles Puy

41 papers receiving 800 citations

Peers

Gilles Puy
Comparison fields: 5 of 81
  • Computational Mechanics 321
  • Computer Vision and Pattern Recognition 289
  • Radiology, Nuclear Medicine and Imaging 196
  • Artificial Intelligence 194
  • Environmental Engineering 94
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Citations per field, relative to Gilles Puy
Gilles Puy · 1×
Citations per year, relative to Gilles Puy
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Countries citing papers authored by Gilles Puy

Since Specialization
Citations

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

Fields of papers citing papers by Gilles Puy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gilles Puy

This figure shows the co-authorship network connecting the top 25 collaborators of Gilles Puy. A scholar is included among the top collaborators of Gilles Puy 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 Gilles Puy. Gilles Puy 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
# Work Indexed citations
1 1
2 10
3 11
4 27
5 59
6 44
7 9
8
LightConvPoint: convolution for points
1
9 2
10 7
11 3
12 95
13 15
14 7
15
Joint reconstruction of misaligned images from incomplete measurements for cardiac MRI
1
16 13
17
Robust joint reconstruction of misaligned images using semi-parametric dictionaries
2
18 33
19 49
20 7

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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