Kacem Chehdi

3.7k total citations · 1 hit paper
108 papers, 1.9k citations indexed

About

Kacem Chehdi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Kacem Chehdi has authored 108 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Computer Vision and Pattern Recognition, 65 papers in Media Technology and 14 papers in Artificial Intelligence. Recurrent topics in Kacem Chehdi's work include Image and Signal Denoising Methods (46 papers), Remote-Sensing Image Classification (45 papers) and Advanced Image Fusion Techniques (29 papers). Kacem Chehdi is often cited by papers focused on Image and Signal Denoising Methods (46 papers), Remote-Sensing Image Classification (45 papers) and Advanced Image Fusion Techniques (29 papers). Kacem Chehdi collaborates with scholars based in France, Ukraine and Finland. Kacem Chehdi's co-authors include Benoît Vozel, Vladimir Lukin, Claude Cariou, Nikolay Ponomarenko, Jaakko Astola, Karen Egiazarian, Олег Єремеєв, Lina Jin, Marco Carli and C.‐C. Jay Kuo and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Sensors.

In The Last Decade

Kacem Chehdi

99 papers receiving 1.8k 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, Vladimir Lukin 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
Kacem Chehdi France 18 1.5k 1.1k 217 138 109 108 1.9k
Eli Saber United States 25 2.5k 1.7× 507 0.5× 155 0.7× 104 0.8× 94 0.9× 104 3.0k
Rui Song China 24 992 0.7× 906 0.8× 281 1.3× 214 1.6× 35 0.3× 95 1.7k
Xiangyong Cao China 23 1.3k 0.9× 1.3k 1.2× 200 0.9× 283 2.1× 20 0.2× 81 2.0k
Guixu Zhang China 26 1.4k 1.0× 1000 0.9× 328 1.5× 87 0.6× 53 0.5× 126 2.2k
Valero Laparra Spain 19 532 0.4× 360 0.3× 234 1.1× 151 1.1× 50 0.5× 73 1.4k
Glenn Healey United States 23 2.0k 1.4× 1.3k 1.2× 186 0.9× 302 2.2× 635 5.8× 144 3.1k
Srikumar Ramalingam United States 19 1.4k 1.0× 686 0.6× 145 0.7× 214 1.6× 18 0.2× 39 1.9k
Marc Acheroy Belgium 20 979 0.7× 500 0.5× 150 0.7× 94 0.7× 27 0.2× 102 1.8k
Renwei Dian China 21 2.1k 1.5× 2.5k 2.3× 157 0.7× 189 1.4× 21 0.2× 47 3.0k
Vassilios Chatzis Greece 8 794 0.5× 493 0.5× 248 1.1× 130 0.9× 22 0.2× 29 1.2k

Countries citing papers authored by Kacem Chehdi

Since Specialization
Citations

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

Fields of papers citing papers by Kacem Chehdi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kacem Chehdi

This figure shows the co-authorship network connecting the top 25 collaborators of Kacem Chehdi. A scholar is included among the top collaborators of Kacem Chehdi 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 Kacem Chehdi. Kacem Chehdi 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.
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
2.
Cariou, Claude, Steven Le Moan, & Kacem Chehdi. (2022). A Novel Mean-Shift Algorithm for Data Clustering. IEEE Access. 10. 14575–14585. 31 indexed citations
3.
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
4.
Chehdi, Kacem, et al.. (2022). Unsupervised and Automatic Training Samples Selection Method. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 271–274.
5.
Chehdi, Kacem, et al.. (2021). Hierarchical Unsupervised Partitioning of Large Size Data and Its Application to Hyperspectral Images. Remote Sensing. 13(23). 4874–4874. 4 indexed citations
6.
Cariou, Claude, Steven Le Moan, & Kacem Chehdi. (2020). Improving K-Nearest Neighbor Approaches for Density-Based Pixel Clustering in Hyperspectral Remote Sensing Images. Remote Sensing. 12(22). 3745–3745. 18 indexed citations
7.
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
8.
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
9.
Vaudour, Emmanuelle, et al.. (2016). Regional prediction of soil organic carbon content over temperate croplands using visible near-infrared airborne hyperspectral imagery and synchronous field spectra. International Journal of Applied Earth Observation and Geoinformation. 49. 24–38. 73 indexed citations
10.
Cariou, Claude & Kacem Chehdi. (2015). Unsupervised Nearest Neighbors Clustering With Application to Hyperspectral Images. IEEE Journal of Selected Topics in Signal Processing. 9(6). 1105–1116. 51 indexed citations
11.
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
12.
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
13.
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
14.
Awad, Mohamad M., Kacem Chehdi, & Ahmad Nasri. (2008). Enhancement of the segmentation process of multi-component images using fusion with Genetic Algorithm. 63. 1–6. 2 indexed citations
15.
16.
Cariou, Claude & Kacem Chehdi. (2006). Semi-Rigid Registration of Remote Sensing Airborne Scanner Images. 2. II–825. 1 indexed citations
17.
Vozel, Benoît, et al.. (2003). Adaptive filtering of multiplicative noise by a new differential method. 39. 437–440 vol.1. 7 indexed citations
18.
Chehdi, Kacem, et al.. (2002). Satellite image segmentation using edge-region cooperation. 1. 47–50. 3 indexed citations
19.
Chehdi, Kacem, et al.. (1999). Système aveugle de filtrage d'images numériques. 4 indexed citations
20.
Chehdi, Kacem, et al.. (1996). Identification Of A Degraded Image By A Multiplicative Or Additive Noise. INFM-OAR (INFN Catania). 3 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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