Jean‐Michel Morel

35.4k citations
329 papers · 23.4k indexed · 11 hit papers · h-index 52
Topics
Image and Signal Denoising Methods (72 papers)Advanced Vision and Imaging (56 papers)Medical Image Segmentation Techniques (52 papers)
Partner nations
FranceSpainUnited States

In The Last Decade

Jean‐Michel Morel

307 papers receiving 21.9k citations

Hit Papers

A Non-Local Algorithm for Image Denoising19922026200320142005200519922009199210002.0k3.0k4.0k

Peers

Jean‐Michel Morel
Comparison fields: 5 of 196
  • Computer Vision and Pattern Recognition 16.9k
  • Media Technology 6.5k
  • Computational Mechanics 2.9k
  • Aerospace Engineering 2.7k
  • Radiology, Nuclear Medicine and Imaging 1.7k
Replace Stéphane Mallat with:
Stéphane Mallat France
Tony F. Chan United States
Ingrid Daubechies United States
Olivier Faugeras France
Ron Kimmel Israel
Hamid R. Sheikh United States
Zhou Wang China
Thomas Pock Austria
Alfred M. Bruckstein⋆ Israel
Jian Sun China
Jean‐Michel Morel relative to Stéphane Mallat France Stéphane Mallat's profile →
Citations per field
00.5×1.5×
Stéphane Mallat · 1×
Citations per year

Countries citing papers authored by Jean‐Michel Morel

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Michel Morel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Michel Morel. 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 Jean‐Michel Morel. The network helps show where Jean‐Michel Morel may publish in the future.

Co-authorship network of co-authors of Jean‐Michel Morel

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Michel Morel. A scholar is included among the top collaborators of Jean‐Michel Morel 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 Jean‐Michel Morel. Jean‐Michel Morel 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
#WorkIndexed citations
1 7
2 0
3 0
4 0
5 2
6 3
7 6
8 3
9 4
10 43
11 3
12 2
13 21
14 0
15 6
16 9
17 72
18 27
19
Trois applications des mathématiques
0
20 3

About Jean‐Michel Morel

Jean‐Michel Morel is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 329 papers that have together received 23.4k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (72 papers), Advanced Vision and Imaging (56 papers) and Medical Image Segmentation Techniques (52 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (16.9k citations), Media Technology (6.5k citations) and Computer Graphics and Computer-Aided Design (824 citations). Jean‐Michel Morel has collaborated with scholars based in France, Spain and United States. Frequent co-authors include Antoni Buades, B. Coll, Pierre-Louis Lions, Luis Álvarez, Guoshen Yu, Rafael Grompone von Gioi, Grégory Randall, Jérémie Jakubowicz, Catalina Sbert and Sergio Solimini. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Environmental Science & Technology.

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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