Mejdi Trimeche

20 total papers · 1.0k total citations
17 papers, 667 citations indexed

About

Mejdi Trimeche is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Sociology and Political Science. According to data from OpenAlex, Mejdi Trimeche has authored 17 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 2 papers in Sociology and Political Science. Recurrent topics in Mejdi Trimeche's work include Advanced Image Processing Techniques (10 papers), Image and Signal Denoising Methods (9 papers) and Image Retrieval and Classification Techniques (4 papers). Mejdi Trimeche is often cited by papers focused on Advanced Image Processing Techniques (10 papers), Image and Signal Denoising Methods (9 papers) and Image Retrieval and Classification Techniques (4 papers). Mejdi Trimeche collaborates with scholars based in Finland and Italy. Mejdi Trimeche's co-authors include Vladimir Katkovnik, Karen Egiazarian, Alessandro Foi, Markku Vehviläinen, Marius Tico, Sakari Alenius, Moncef Gabbouj, Radu Ciprian Bilcu, Faouzi Alaya Cheikh and Bogdan Cramariuc and has published in prestigious journals such as IEEE Transactions on Image Processing, EURASIP Journal on Advances in Signal Processing and INFM-OAR (INFN Catania).

In The Last Decade

Mejdi Trimeche

15 papers receiving 619 citations

Hit Papers

Practical Poissonian-Gaus... 2008 2026 2014 2020 2008 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mejdi Trimeche 535 309 66 51 45 17 667
Sean Borman 586 1.1× 284 0.9× 39 0.6× 62 1.2× 13 0.3× 11 737
Markku Mäkitalo 526 1.0× 256 0.8× 127 1.9× 128 2.5× 48 1.1× 25 679
Shuochen Su 503 0.9× 234 0.8× 70 1.1× 16 0.3× 21 0.5× 9 608
Khosro Bahrami 549 1.0× 267 0.9× 51 0.8× 25 0.5× 34 0.8× 20 662
Mark Thurston 511 1.0× 142 0.5× 33 0.5× 31 0.6× 36 0.8× 16 742
Jean‐Charles Pinoli 471 0.9× 247 0.8× 32 0.5× 21 0.4× 48 1.1× 54 662
Ikram E. Abdou 475 0.9× 152 0.5× 36 0.5× 40 0.8× 16 0.4× 13 643
Chinmaya Panigrahy 327 0.6× 318 1.0× 56 0.8× 35 0.7× 19 0.4× 18 584
Wenxian Zheng 408 0.8× 232 0.8× 109 1.7× 30 0.6× 29 0.6× 11 723
Changyin Zhou 472 0.9× 452 1.5× 140 2.1× 25 0.5× 56 1.2× 22 640

Countries citing papers authored by Mejdi Trimeche

Since Specialization
Citations

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

Fields of papers citing papers by Mejdi Trimeche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mejdi Trimeche

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

All Works

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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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