Pablo Musé

505 total citations
22 papers, 301 citations indexed

About

Pablo Musé is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Pablo Musé has authored 22 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Media Technology. Recurrent topics in Pablo Musé's work include Image and Object Detection Techniques (4 papers), Advanced Vision and Imaging (4 papers) and Advanced Image Processing Techniques (4 papers). Pablo Musé is often cited by papers focused on Image and Object Detection Techniques (4 papers), Advanced Vision and Imaging (4 papers) and Advanced Image Processing Techniques (4 papers). Pablo Musé collaborates with scholars based in France, Uruguay and United States. Pablo Musé's co-authors include Jean‐Philippe Avouac, S. Leprince, Andrés Almansa, Julie Delon, Frédéric Sur, Jean‐Michel Morel, Yann Gousseau, Mauricio Delbracio, G. Abal and R. Siri and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Solar Energy and Pattern Recognition.

In The Last Decade

Pablo Musé

21 papers receiving 265 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Pablo Musé France	11	154	73	72	52	44	22	301
Ury Naftaly Israel	4	46 0.3×	75 1.0×	120 1.7×	13 0.3×	23 0.5×	10	314
Massimiliano Pastena Italy	8	35 0.2×	185 2.5×	41 0.6×	38 0.7×	17 0.4×	29	366
Florian M. Savoy United States	10	67 0.4×	29 0.4×	86 1.2×	42 0.8×	5 0.1×	22	260
Youming Wu China	9	119 0.8×	150 2.1×	40 0.6×	110 2.1×	24 0.5×	24	301
Christopher F. Barnes United States	12	255 1.7×	61 0.8×	54 0.8×	50 1.0×	35 0.8×	49	450
Huiyao Wan China	8	164 1.1×	229 3.1×	50 0.7×	47 0.9×	34 0.8×	13	308
Gopalan Ravichandran United States	8	183 1.2×	107 1.5×	32 0.4×	103 2.0×	52 1.2×	26	376
David W. Paglieroni United States	11	279 1.8×	65 0.9×	17 0.2×	57 1.1×	51 1.2×	36	396
Wei Hao China	11	178 1.2×	19 0.3×	33 0.5×	50 1.0×	8 0.2×	52	354
Chuyao Luo China	12	83 0.5×	29 0.4×	77 1.1×	23 0.4×	13 0.3×	35	407

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-authorship network of co-authors of Pablo Musé

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Musé. A scholar is included among the top collaborators of Pablo Musé 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 Pablo Musé. Pablo Musé is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Musé, Pablo, et al.. (2024). Image Forgery Detection Based on Noise Inspection: Analysis and Refinement of the Noisesniffer Method. Image Processing On Line. 14. 86–115. 2 indexed citations

Musé, Pablo, et al.. (2024). U-Flow: A U-Shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold. Journal of Mathematical Imaging and Vision. 66(4). 678–696. 10 indexed citations

Musé, Pablo, et al.. (2022). Forensic Similarity for Source Camera Model Comparison. Image Processing On Line. 12. 480–489.

Monzón, Pablo, et al.. (2021). A drawing robot pipeline with artist-inspired execution. 461–466. 1 indexed citations

Facciolo, Gabriele, et al.. (2020). Cnn-Assisted Coverings In The Space Of Tilts: Best Affine Invariant Performances With The Speed Of Cnns. SPIRE - Sciences Po Institutional REpository. 1. 2201–2205. 1 indexed citations

Aguerrebere, Cecilia, Andrés Almansa, Yann Gousseau, Julie Delon, & Pablo Musé. (2014). A Hyperprior Bayesian Approach for Solving Image Inverse Problems. 1 indexed citations

Alonso-Suárez, Rodrigo, G. Abal, Pablo Musé, & R. Siri. (2014). Satellite-derived Solar Irradiation Map for Uruguay. Energy Procedia. 57. 1237–1246. 13 indexed citations

Aguerrebere, Cecilia, Julie Delon, Yann Gousseau, & Pablo Musé. (2014). Best Algorithms for HDR Image Generation. A Study of Performance Bounds. SIAM Journal on Imaging Sciences. 7(1). 1–34. 25 indexed citations

Delbracio, Mauricio, Andrés Almansa, Jean‐Michel Morel, & Pablo Musé. (2012). Subpixel Point Spread Function Estimation from Two Photographs at Different Distances. SIAM Journal on Imaging Sciences. 5(4). 1234–1260. 8 indexed citations

10.

Delbracio, Mauricio, Pablo Musé, & Andrés Almansa. (2012). Non-parametric Sub-pixel Local Point Spread Function Estimation. Image Processing On Line. 2. 8–21. 12 indexed citations

11.

Alonso-Suárez, Rodrigo, G. Abal, R. Siri, & Pablo Musé. (2012). Brightness-dependent Tarpley model for global solar radiation estimation using GOES satellite images: Application to Uruguay. Solar Energy. 86(11). 3205–3215. 21 indexed citations

12.

Abal, G., et al.. (2011). Global Solar Irradiation Assesment in Uruguay Using Tarpley's Model and Goes Satellite Images. 1–12. 6 indexed citations

13.

Tepper, Mariano, Pablo Musé, Andrés Almansa, & Marta Mejail. (2011). Automatically finding clusters in normalized cuts. Pattern Recognition. 44(7). 1372–1386. 13 indexed citations

14.

Fiori, Michele, et al.. (2010). Automatic colon polyp flagging via geometric and texture features. PubMed. 3. 3170–3173. 8 indexed citations

15.

Leprince, S., Pablo Musé, & Jean‐Philippe Avouac. (2008). In-Flight CCD Distortion Calibration for Pushbroom Satellites Based on Subpixel Correlation. IEEE Transactions on Geoscience and Remote Sensing. 46(9). 2675–2683. 72 indexed citations

16.

Cao, Frédéric, Julie Delon, Agnès Desolneux, Pablo Musé, & Frédéric Sur. (2006). A Unified Framework for Detecting Groups and Application to Shape Recognition. Journal of Mathematical Imaging and Vision. 27(2). 91–119. 29 indexed citations

17.

Musé, Pablo, Frédéric Sur, Frédéric Cao, Yann Gousseau, & Jean‐Michel Morel. (2004). Accurate estimates of false alarm number in shape recognition. OpenGrey (Institut de l'Information Scientifique et Technique). 5 indexed citations

18.

Musé, Pablo, et al.. (2004). Unsupervised thresholds for shape matching. 3. II–647. 23 indexed citations

19.

Cao, Frédéric, Julie Delon, Agnès Desolneux, Pablo Musé, & Frédéric Sur. (2004). An a contrario approach to hierarchical clustering validity assessment. OpenGrey (Institut de l'Information Scientifique et Technique). 15. 8 indexed citations

20.

Musé, Pablo, Frédéric Sur, & Jean‐Michel Morel. (2003). Sur les seuils de reconnaissance des formes. Traitement du signal. 20(3). 279–294. 4 indexed citations

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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