Kacem Chehdi

77 papers and 1.5k indexed citations i.

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 77 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Vision and Pattern Recognition, 54 papers in Media Technology and 12 papers in Artificial Intelligence. Recurrent topics in Kacem Chehdi’s work include Remote-Sensing Image Classification (43 papers), Image and Signal Denoising Methods (32 papers) and Advanced Image Fusion Techniques (23 papers). Kacem Chehdi is often cited by papers focused on Remote-Sensing Image Classification (43 papers), Image and Signal Denoising Methods (32 papers) and Advanced Image Fusion Techniques (23 papers). Kacem Chehdi collaborates with scholars based in France, Ukraine and Finland. Kacem Chehdi's co-authors include Benoît Vozel, Vladimir Lukin, Claude Cariou, Jaakko Astola, Nikolay Ponomarenko, Karen Egiazarian, Federica Battisti, Lina Jin, Marco Carli and C.‐C. Jay Kuo and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Kacem Chehdi i

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.

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).

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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2025