Mohamed Limam

107 total papers · 1.6k total citations
64 papers, 1.1k citations indexed

About

Mohamed Limam is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohamed Limam has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 17 papers in Statistics, Probability and Uncertainty and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohamed Limam's work include Advanced Statistical Process Monitoring (17 papers), Face and Expression Recognition (14 papers) and Advanced Statistical Methods and Models (9 papers). Mohamed Limam is often cited by papers focused on Advanced Statistical Process Monitoring (17 papers), Face and Expression Recognition (14 papers) and Advanced Statistical Methods and Models (9 papers). Mohamed Limam collaborates with scholars based in Tunisia, Oman and Germany. Mohamed Limam's co-authors include Lassâad Lakhal, Fédérico Pasin, Hassen Taleb, Claus Weihs, Fŕed́eric Precioso, Nadia Essoussi, Kaoru Hirota, Raffaella A. Del Sarto, Sami Faïz and Sharad Borle and has published in prestigious journals such as Expert Systems with Applications, International Journal of Production Research and Machine Learning.

In The Last Decade

Mohamed Limam

62 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Mohamed Limam 278 251 232 206 191 64 1.1k
Mehdi Ghazanfari 96 0.3× 340 1.4× 205 0.9× 237 1.2× 97 0.5× 78 1.4k
Ali Zeinal Hamadani 408 1.5× 150 0.6× 89 0.4× 63 0.3× 175 0.9× 57 1.2k
Antonie Stam 44 0.2× 309 1.2× 238 1.0× 115 0.6× 335 1.8× 60 1.5k
Kai Meng Tay 255 0.9× 361 1.4× 180 0.8× 45 0.2× 115 0.6× 63 1.1k
Mohammad Hossein Fazel Zarandi 154 0.6× 344 1.4× 209 0.9× 82 0.4× 73 0.4× 66 1.4k
Alper Murat 59 0.2× 435 1.7× 137 0.6× 201 1.0× 22 0.1× 46 1.5k
Alan J. Miller 94 0.3× 179 0.7× 465 2.0× 54 0.3× 179 0.9× 52 1.5k
Wei Liu 100 0.4× 158 0.6× 129 0.6× 208 1.0× 102 0.5× 106 1.2k
J. D. T. Tannock 356 1.3× 114 0.5× 316 1.4× 469 2.3× 143 0.7× 55 1.3k
Shuo Xu 166 0.6× 546 2.2× 59 0.3× 59 0.3× 18 0.1× 98 1.4k

Countries citing papers authored by Mohamed Limam

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Limam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Limam

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026