Frédéric Sur

1.5k total citations
55 papers, 1.1k citations indexed

About

Frédéric Sur is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering and Media Technology. According to data from OpenAlex, Frédéric Sur has authored 55 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 14 papers in Civil and Structural Engineering and 14 papers in Media Technology. Recurrent topics in Frédéric Sur's work include Optical measurement and interference techniques (31 papers), Structural Health Monitoring Techniques (14 papers) and Advanced Vision and Imaging (14 papers). Frédéric Sur is often cited by papers focused on Optical measurement and interference techniques (31 papers), Structural Health Monitoring Techniques (14 papers) and Advanced Vision and Imaging (14 papers). Frédéric Sur collaborates with scholars based in France, Argentina and Jordan. Frédéric Sur's co-authors include Michel Grédiac, Benoît Blaysat, Jean‐Michel Morel, François Berry, Frédéric Cao, Yann Gousseau, Pablo Musé, Marie‐Odile Berger, José-Luis Lisani and Pablo Musé and has published in prestigious journals such as IEEE Transactions on Image Processing, Journal of Chemical Theory and Computation and International Journal for Numerical Methods in Engineering.

In The Last Decade

Frédéric Sur

51 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frédéric Sur France 21 833 279 227 190 126 55 1.1k
Liping Yu China 19 964 1.2× 397 1.4× 338 1.5× 321 1.7× 227 1.8× 38 1.3k
Jin Liang China 16 487 0.6× 130 0.5× 112 0.5× 254 1.3× 113 0.9× 67 932
Ce Liu China 16 354 0.4× 207 0.7× 89 0.4× 67 0.4× 78 0.6× 77 944
Hong Zhao China 17 892 1.1× 384 1.4× 130 0.6× 355 1.9× 69 0.5× 101 1.2k
Yuankun Liu China 19 609 0.7× 216 0.8× 91 0.4× 300 1.6× 138 1.1× 69 1.0k
Jean‐Charles Passieux France 20 324 0.4× 100 0.4× 244 1.1× 290 1.5× 466 3.7× 58 1.2k
Roger M. Groves Netherlands 24 608 0.7× 177 0.6× 467 2.1× 548 2.9× 737 5.8× 154 1.9k
Mengchao Ma China 21 527 0.6× 362 1.3× 214 0.9× 334 1.8× 24 0.2× 121 1.6k
Beiwen Li United States 24 1.3k 1.5× 586 2.1× 119 0.5× 709 3.7× 38 0.3× 82 1.6k
Kah Bin Lim Singapore 19 478 0.6× 181 0.6× 23 0.1× 155 0.8× 71 0.6× 65 931

Countries citing papers authored by Frédéric Sur

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Sur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Sur

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Sur. A scholar is included among the top collaborators of Frédéric Sur 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 Frédéric Sur. Frédéric Sur 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
1.
Sur, Frédéric, Benoît Blaysat, & Michel Grédiac. (2024). Characterizing the measurement resolution and measurement bias of Sampling Moiré. Optics and Lasers in Engineering. 177. 108130–108130. 4 indexed citations
2.
Blaysat, Benoît, et al.. (2024). OpenLSA: An open-source toolbox for computing full-field displacements from images of periodic patterns. SoftwareX. 27. 101826–101826. 2 indexed citations
3.
4.
5.
Berry, François, et al.. (2022). A lightweight convolutional neural network as an alternative to DIC to measure in-plane displacement fields. Optics and Lasers in Engineering. 161. 107367–107367. 18 indexed citations
6.
Sur, Frédéric, Benoît Blaysat, & Michel Grédiac. (2021). On Biases in Displacement Estimation for Image Registration, with a Focus on Photomechanics. Journal of Mathematical Imaging and Vision. 63(7). 777–806. 18 indexed citations
7.
Blaysat, Benoît, Jan Neggers, Michel Grédiac, & Frédéric Sur. (2020). Towards Criteria Characterizing the Metrological Performance of Full-field Measurement Techniques. Experimental Mechanics. 60(3). 393–407. 22 indexed citations
8.
Grédiac, Michel, Benoît Blaysat, & Frédéric Sur. (2019). Comparing several spectral methods used to extract displacement fields from checkerboard images. Optics and Lasers in Engineering. 127. 105984–105984. 18 indexed citations
9.
Grédiac, Michel, Benoît Blaysat, & Frédéric Sur. (2018). Extracting Displacement and Strain Fields from Checkerboard Images with the Localized Spectrum Analysis. Experimental Mechanics. 59(2). 207–218. 30 indexed citations
10.
Sur, Frédéric, Benoît Blaysat, & Michel Grédiac. (2016). Determining displacement and strain maps immune from aliasing effect with the grid method. Optics and Lasers in Engineering. 86. 317–328. 25 indexed citations
11.
Blaysat, Benoît, Michel Grédiac, & Frédéric Sur. (2016). On the Propagation of Camera Sensor Noise to Displacement Maps Obtained by DIC - an Experimental Study. Experimental Mechanics. 56(6). 919–944. 36 indexed citations
12.
Blaysat, Benoît, Michel Grédiac, & Frédéric Sur. (2016). Effect of interpolation on noise propagation from images to DIC displacement maps. International Journal for Numerical Methods in Engineering. 108(3). 213–232. 30 indexed citations
13.
Berger, Marie‐Odile, et al.. (2015). Simulation de point de vue pour la mise en correspondance et la localisation. Traitement du signal. 32(2-3). 169–194. 1 indexed citations
14.
Sur, Frédéric & Michel Grédiac. (2013). Enhancing with deconvolution the metrological performance of the grid method for in-plane strain measurement. HAL (Le Centre pour la Communication Scientifique Directe). 1563–1567. 4 indexed citations
15.
Grédiac, Michel, Frédéric Sur, Claudiu Bădulescu, & Jean‐Denis Mathias. (2013). Using deconvolution to improve the metrological performance of the grid method. Optics and Lasers in Engineering. 51(6). 716–734. 25 indexed citations
16.
Sur, Frédéric, et al.. (2010). Determining point correspondences between two views under geometric constraint and photometric consistency. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
17.
Berger, Marie‐Odile, et al.. (2010). Transitive Closure Based Visual Words for Point Matching in Video Sequence. HAL (Le Centre pour la Communication Scientifique Directe). 3300–3303. 1 indexed citations
18.
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
19.
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
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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