Mohamed Akil

293 total papers · 5.3k total citations
114 papers, 3.4k citations indexed

About

Mohamed Akil is a scholar working on Computer Vision and Pattern Recognition, Rheumatology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mohamed Akil has authored 114 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 22 papers in Rheumatology and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mohamed Akil's work include Systemic Lupus Erythematosus Research (16 papers), Medical Image Segmentation Techniques (15 papers) and Digital Image Processing Techniques (12 papers). Mohamed Akil is often cited by papers focused on Systemic Lupus Erythematosus Research (16 papers), Medical Image Segmentation Techniques (15 papers) and Digital Image Processing Techniques (12 papers). Mohamed Akil collaborates with scholars based in France, United Kingdom and United States. Mohamed Akil's co-authors include Rostom Kachouri, David A. Lewis, Rachida Saouli, Mostefa Ben Naceur, George J. Brewer, Joel E. Kleinman, Caroline Gordon, R S Amos, David Isenberg and Ian N Bruce and has published in prestigious journals such as American Journal of Psychiatry, Biochemical and Biophysical Research Communications and Neuroscience.

In The Last Decade

Mohamed Akil

102 papers receiving 3.3k 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 Akil 1.1k 682 599 570 448 114 3.4k
William R. Ferrell 422 0.4× 297 0.4× 187 0.3× 286 0.5× 675 1.5× 122 5.5k
Alexander U. Brandt 1.1k 1.0× 356 0.5× 817 1.4× 339 0.6× 169 0.4× 190 5.8k
Jens Wuerfel 765 0.7× 294 0.4× 1.7k 2.9× 592 1.0× 206 0.5× 143 6.3k
Daniel Pelletier 713 0.6× 548 0.8× 1.4k 2.3× 298 0.5× 215 0.5× 104 5.8k
Dorothea Buck 296 0.3× 428 0.6× 604 1.0× 114 0.2× 245 0.5× 41 2.5k
Mario Quarantelli 239 0.2× 158 0.2× 1.0k 1.7× 797 1.4× 926 2.1× 139 4.1k
Sven Schippling 1.0k 0.9× 682 1.0× 602 1.0× 314 0.6× 433 1.0× 117 5.7k
Paolo Bosco 717 0.6× 109 0.2× 340 0.6× 408 0.7× 814 1.8× 152 4.7k
Sridar Narayanan 967 0.9× 206 0.3× 2.0k 3.4× 424 0.7× 464 1.0× 136 6.5k
Martina Absinta 648 0.6× 365 0.5× 1.4k 2.4× 649 1.1× 572 1.3× 104 5.6k

Countries citing papers authored by Mohamed Akil

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Akil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Akil

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Akil. A scholar is included among the top collaborators of Mohamed Akil 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 Akil. Mohamed Akil 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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