Pablo Musé

1.0k citations
27 papers · 710 · h-index 11

Impact in

Papers in

    • Image Retrieval and Classification Techniques 6
    • Medical Image Segmentation Techniques 4
    • Digital Media Forensic Detection 4
    • Image and Signal Denoising Methods 4
    • Advanced Image Processing Techniques 3
    • Advanced Image and Video Retrieval Techniques 3

Pablo Musé

24 papers receiving 675 citations

Peers

Pablo Musé
Comparison fields: 5 of 68
  • Geophysics 158
  • Aerospace Engineering 245
  • Computer Vision and Pattern Recognition 187
  • Computer Graphics and Computer-Aided Design 31
  • Environmental Engineering 89
Replace Paul Hill with:
Paul Hill United Kingdom
Hongwei Li China
K. Veeraswamy India
Xiaoxing He China
Guangyu Xu China
Sina Montazeri Germany
Pablo Musé France
D. Nüesch Switzerland
Pietro Guccione Italy
Roy Edgar Hansen Norway
Pablo Musé relative to Paul Hill United Kingdom Paul Hill's profile →
Citations per field
00.5×5.2×
Paul Hill · 1×
Citations per year

Countries citing papers authored by Pablo Musé

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Musé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pablo Musé, 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 Pablo Musé Line = papers co-authored together Pablo Musé 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 2011128
2 2010126
3 201192
4 200977
5 200656
6 202245
7 201443
8 201734
9 200923
10 201420
11 202113
12 20239
13 20138
14 20097
15
Topology Constraints in Graphical Models
20126
16 20126
17 20173
18 20093
19 20133
20 20063

About Pablo Musé

Pablo Musé is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Oncology and Aerospace Engineering, having authored 27 papers that have together received 710 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (6 papers), Medical Image Segmentation Techniques (4 papers), Digital Media Forensic Detection (4 papers), Image Processing Techniques and Applications (4 papers), Image and Signal Denoising Methods (4 papers), Advanced Image Processing Techniques (3 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Geophysics (158 citations), Aerospace Engineering (245 citations), Computer Vision and Pattern Recognition (187 citations), Computer Graphics and Computer-Aided Design (31 citations) and Environmental Engineering (89 citations). Pablo Musé has collaborated with scholars based in Uruguay, France and United States. Frequent co-authors include M. Simons, Yunung Nina Lin, E. A. Hetland, Christopher J. DiCaprio, Rodrigo Alonso-Suárez, Germán Capdehourat, P. S. Agram, Jean‐Michel Morel, Yann Gousseau and Danan Dong. Their work appears in journals such as IEEE Transactions on Computational Imaging, IEEE Transactions on Geoscience and Remote Sensing, Journal of Geophysical Research Atmospheres, International Journal of Computer Vision and Journal of Mathematical Imaging and Vision.

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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