Mohamed Akil

5.3k citations
114 papers · 3.4k indexed · h-index 30
Topics
Systemic Lupus Erythematosus Research (16 papers)Medical Image Segmentation Techniques (15 papers)Digital Image Processing Techniques (12 papers)

In The Last Decade

Mohamed Akil

102 papers receiving 3.3k citations

Peers

Mohamed Akil
Comparison fields: 5 of 154
  • Rheumatology 1.1k
  • Immunology 684
  • Radiology, Nuclear Medicine and Imaging 601
  • Cellular and Molecular Neuroscience 573
  • Cognitive Neuroscience 448
Replace Alexander U. Brandt with:
Alexander U. Brandt Germany
Niels Bergsland United States
Paolo Bosco Italy
Vittorio Martinelli Italy
Michael G. Dwyer United States
Andrew Chan Germany
Sridar Narayanan Canada
Sven Schippling Germany
Dorothea Buck Germany
Myriam Schluep Switzerland
Mohamed Akil relative to Alexander U. Brandt Germany Alexander U. Brandt's profile →
Citations per field
00.5×2.6×
Alexander U. Brandt · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 10
2 1
3 2
4 17
5
Response to Rituximab in Patients with Refractory Systemic Lupus Erythematosus (SLE): Results from a National Multicentre Register
1
6 1
7 7
8
Cognitive Radio Spectrum E volution Prediction using A rtificial Neural Networks based Multivariate T ime Series Modelling
9
9 148
10 6
11 29
12 49
13 34
14 63
15 52
16 100
17 0
18 0
19 79
20 279

About Mohamed Akil

Mohamed Akil is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Rheumatology, having authored 114 papers that have together received 3.4k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (16 papers), Medical Image Segmentation Techniques (15 papers) and Digital Image Processing Techniques (12 papers). The work is most often cited by research in Rheumatology (1.1k citations), Neurology (287 citations) and Immunology (684 citations). Mohamed Akil has collaborated with scholars based in France, United Kingdom and United States. Frequent 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 Cynthia Shannon Weickert. Their work appears in journals such as American Journal of Psychiatry, Biochemical and Biophysical Research Communications and Neuroscience.

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