Jacques Froment

712 citations
27 papers · 569 · h-index 10

Impact in

Papers in

Jacques Froment

26 papers receiving 532 citations

Peers

Jacques Froment
Comparison fields: 5 of 42
  • Computer Vision and Pattern Recognition 450
  • Mathematical Physics 27
  • Signal Processing 19
  • Media Technology 19
  • Computer Graphics and Computer-Aided Design 7
Replace Triet Minh Le with:
Triet Minh Le United States
M.K. Ozkan United States
Pavel Mrázek⋆ Germany
Andrés Solé Spain
Agnieszka Lisowska Poland
Victor T. Tom United States
Ginmo Chung United States
Jooyoung Hahn South Korea
Peyma Oskoui United States
Gloria Haro Spain
Jacques Froment relative to Triet Minh Le United States Triet Minh Le's profile →
Citations per field
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Triet Minh Le · 1×
Citations per year

Countries citing papers authored by Jacques Froment

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Froment

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Jacques Froment, 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 Jacques Froment Line = papers co-authored together Jacques Froment links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003132
2 200592
3 201474
4 200263
5 199258
6 200620
7 200414
8 201714
9 199912
10 200112
11 200210
12 201210
13 20059
14 20038
15 20177
16 19996
17 19995
18 20005
19 19903
20 20073

About Jacques Froment

Jacques Froment is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Mathematical Physics, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 569 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (14 papers), Advanced Data Compression Techniques (9 papers), Image Retrieval and Classification Techniques (3 papers), Advanced X-ray and CT Imaging (3 papers), Medical Image Segmentation Techniques (3 papers), Medical Imaging Techniques and Applications (2 papers), Advanced Image Fusion Techniques (2 papers) and Numerical methods in inverse problems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (450 citations), Mathematical Physics (27 citations), Signal Processing (19 citations), Media Technology (19 citations) and Computer Graphics and Computer-Aided Design (7 citations). Jacques Froment has collaborated with scholars based in France, Spain and China. Frequent co-authors include Stéphane Mallat, Xiaoqin Zhang, B. Coll, Quansheng Liu, Xiaoqun Zhang, Jean‐Michel Morel, Bernard Rougé, Dimitris Visvikis, Jean‐Pierre Tasu and Nicolas Courty. Their work appears in journals such as ESAIM Control Optimisation and Calculus of Variations, Journal of Mathematical Imaging and Vision, Journal of Visual Communication and Image Representation, SIAM Journal on Scientific Computing and IEEE Transactions on Radiation and Plasma Medical Sciences.

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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