Pablo Musé

505 citations
22 papers · 301 · h-index 11

Impact in

Papers in

Pablo Musé

21 papers receiving 265 citations

Peers

Pablo Musé
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 154
  • Media Technology 52
  • Aerospace Engineering 73
  • Ocean Engineering 44
  • Artificial Intelligence 72
Replace Wolfgang Middelmann with:
Wolfgang Middelmann Germany
Thibaud Ehret France
Qigong Sun China
Massimiliano Pastena Italy
S. Manthira Moorthi India
Jinsong Tang China
Debajyoti Dhar India
E. Coiras Italy
Chuyao Luo China
Pablo Musé relative to Wolfgang Middelmann Germany Wolfgang Middelmann's profile →
Citations per field
00.5×1.5×2.3×
Wolfgang Middelmann · 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 22 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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200872
2 200629
3 201128
4 201425
5 200423
6 201221
7 201413
8 201113
9 201212
10 201911
11 202410
12 20108
13 20128
14
An a contrario approach to hierarchical clustering validity assessment
20048
15 20116
16
Accurate estimates of false alarm number in shape recognition
20045
17
Sur les seuils de reconnaissance des formes
20034
18 20242
19
A Hyperprior Bayesian Approach for Solving Image Inverse Problems
20141
20 20201

About Pablo Musé

Pablo Musé is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Aerospace Engineering and Renewable Energy, Sustainability and the Environment, having authored 22 papers that have together received 301 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (4 papers), Image and Object Detection Techniques (4 papers), Advanced Image Processing Techniques (4 papers), Advanced Vision and Imaging (4 papers), Image Processing Techniques and Applications (3 papers), Solar Radiation and Photovoltaics (3 papers), Photovoltaic System Optimization Techniques (2 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (154 citations), Media Technology (52 citations), Aerospace Engineering (73 citations), Ocean Engineering (44 citations) and Artificial Intelligence (72 citations). Pablo Musé has collaborated with scholars based in France, Uruguay and United States. Frequent co-authors include Jean‐Philippe Avouac, S. Leprince, Julie Delon, Andrés Almansa, Frédéric Sur, Jean‐Michel Morel, Yann Gousseau, Mauricio Delbracio, G. Abal and R. Siri. Their work appears in journals such as SIAM Journal on Imaging Sciences, Journal of Mathematical Imaging and Vision, Solar Energy, International Journal of Computer Vision and IEEE Transactions on Geoscience and Remote Sensing.

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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