Benoît Vozel

3.1k total citations · 1 hit paper
88 papers, 1.5k citations indexed

About

Benoît Vozel is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Benoît Vozel has authored 88 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computer Vision and Pattern Recognition, 56 papers in Media Technology and 8 papers in Aerospace Engineering. Recurrent topics in Benoît Vozel's work include Image and Signal Denoising Methods (60 papers), Advanced Image Fusion Techniques (41 papers) and Remote-Sensing Image Classification (26 papers). Benoît Vozel is often cited by papers focused on Image and Signal Denoising Methods (60 papers), Advanced Image Fusion Techniques (41 papers) and Remote-Sensing Image Classification (26 papers). Benoît Vozel collaborates with scholars based in France, Ukraine and Finland. Benoît Vozel's co-authors include Kacem Chehdi, Vladimir Lukin, Karen Egiazarian, Nikolay Ponomarenko, Jaakko Astola, Олег Єремеєв, Lina Jin, Marco Carli, C.‐C. Jay Kuo and Federica Battisti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Benoît Vozel

82 papers receiving 1.4k citations

Hit Papers

Image database TID2013: Peculiarities, results and perspe... 2014 2026 2018 2022 2014 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Image database TID2013: Peculiarities, results and perspectives
    2014 837 citations Nikolay Ponomarenko, Олег Єремеєв et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoît Vozel France 16 1.3k 858 104 59 59 88 1.5k
Kacem Chehdi France 18 1.5k 1.1× 1.1k 1.3× 109 1.0× 217 3.7× 80 1.4× 108 1.9k
Zhihao Wang China 4 980 0.8× 553 0.6× 41 0.4× 75 1.3× 43 0.7× 7 1.3k
Huanjing Yue China 22 1.2k 0.9× 743 0.9× 37 0.4× 116 2.0× 57 1.0× 74 1.6k
Catalina Sbert Spain 18 1.2k 1.0× 561 0.7× 115 1.1× 40 0.7× 55 0.9× 39 1.5k
Zongju Peng China 22 1.1k 0.8× 379 0.4× 87 0.8× 44 0.7× 77 1.3× 145 1.5k
Jianrui Cai Hong Kong 9 2.4k 1.9× 1.4k 1.6× 72 0.7× 76 1.3× 65 1.1× 9 2.6k
Wei‐Sheng Lai United States 19 2.1k 1.7× 967 1.1× 34 0.3× 62 1.1× 62 1.1× 27 2.4k
Yan‐Tsung Peng Taiwan 14 1.8k 1.4× 877 1.0× 85 0.8× 26 0.4× 36 0.6× 52 2.0k
Pedro Garcı́a-Sevilla Spain 8 409 0.3× 555 0.6× 19 0.2× 110 1.9× 43 0.7× 22 922

Countries citing papers authored by Benoît Vozel

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Vozel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Vozel

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Vozel. A scholar is included among the top collaborators of Benoît Vozel 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 Benoît Vozel. Benoît Vozel 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.
Vozel, Benoît, et al.. (2024). POST-FILTERING OF LOSSY COMPRESSED NOISY IMAGES AND ITS EFFICIENCY PREDICTION. SHILAP Revista de lepidopterología. 8(3). 39–45.
2.
Lukin, Vladimir, et al.. (2024). Lossy Compression of Single-channel Noisy Images by Modern Coders. Remote Sensing. 16(12). 2093–2093. 2 indexed citations
3.
Lukin, Vladimir, et al.. (2023). BPG-Based Lossy Compression of Three-Channel Noisy Images with Prediction of Optimal Operation Existence and Its Parameters. Remote Sensing. 15(6). 1669–1669. 4 indexed citations
4.
Wang, Yuding, Kacem Chehdi, Claude Cariou, & Benoît Vozel. (2023). Data Stream Unsupervised Partitioning Based on Optimized Fuzzy C-Means. SPIRE - Sciences Po Institutional REpository. 7265–7268. 1 indexed citations
5.
Uss, Mikhail, Benoît Vozel, Vladimir Lukin, & Kacem Chehdi. (2022). Exhaustive Search of Correspondences between Multimodal Remote Sensing Images Using Convolutional Neural Network. Sensors. 22(3). 1231–1231. 6 indexed citations
6.
Lukin, Vladimir, et al.. (2022). Prediction of Parameters in Optimal Operation Point for BPG-based Lossy Compression of Noisy Images. SPIRE - Sciences Po Institutional REpository. 9(2). 4–12. 5 indexed citations
7.
Єремеєв, Олег, Vladimir Lukin, Krzysztof Okarma, Karen Egiazarian, & Benoît Vozel. (2022). On properties of visual quality metrics in remote sensing applications. Electronic Imaging. 34(10). 354–1. 4 indexed citations
8.
Lukin, Vladimir, et al.. (2021). Discrete Atomic Transform-Based Lossy Compression of Three-Channel Remote Sensing Images with Quality Control. Remote Sensing. 14(1). 125–125. 15 indexed citations
9.
Vozel, Benoît, et al.. (2021). Similarity Measure with Additional Modality Information for Multimodal Remote Sensing Images. SPIRE - Sciences Po Institutional REpository. 3245–3248. 1 indexed citations
10.
Krivenko, Sergey, et al.. (2018). MSE and PSNR prediction for ADCT coder applied to lossy image compression. HAL (Le Centre pour la Communication Scientifique Directe). 613–618. 3 indexed citations
11.
Abramov, Sergey, et al.. (2018). PRE-REQUISITES FOR SMART LOSSY COMPRESSION OF NOISY REMOTE SENSING IMAGES. Telecommunications and Radio Engineering. 77(3). 225–241. 1 indexed citations
12.
Abramov, Sergey, et al.. (2017). Prediction of Compression Ratio for DCT-Based Coders With Application to Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(1). 257–270. 15 indexed citations
13.
Lukin, Vladimir, Sergey Abramov, Benoît Vozel, et al.. (2016). ON REQUIREMENTS TO ACCURACY OF NOISE VARIANCE ESTIMATION IN PREDICTION OF DCT-BASED FILTER EFFICIENCY. Telecommunications and Radio Engineering. 75(2). 139–154. 2 indexed citations
14.
Abramov, Sergey, et al.. (2015). Performance prediction for 3D filtering of multichannel images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9643. 96430D–96430D. 2 indexed citations
15.
Uss, Mikhail, Benoît Vozel, Vladimir Lukin, & Kacem Chehdi. (2013). Image informative maps for component-wise estimating parameters of signal-dependent noise. Journal of Electronic Imaging. 22(1). 13019–13019. 26 indexed citations
16.
Lukin, Vladimir, et al.. (2012). Image DCT coefficient statistics and their use in blind noise variance estimation. HAL (Le Centre pour la Communication Scientifique Directe). 316–319. 14 indexed citations
17.
Lukin, Vladimir, et al.. (2010). Classification of filtered multichannel images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7830. 78300M–78300M. 3 indexed citations
18.
19.
Vozel, Benoît, et al.. (2003). Adaptive filtering of multiplicative noise by a new differential method. 39. 437–440 vol.1. 7 indexed citations
20.
Chehdi, Kacem, et al.. (1999). Système aveugle de filtrage d'images numériques. 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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