Mehdi Rahim

1.2k total citations · 1 hit paper
14 papers, 692 citations indexed

About

Mehdi Rahim is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Psychiatry and Mental health. According to data from OpenAlex, Mehdi Rahim has authored 14 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 3 papers in Artificial Intelligence and 3 papers in Psychiatry and Mental health. Recurrent topics in Mehdi Rahim's work include Functional Brain Connectivity Studies (7 papers), Neural dynamics and brain function (3 papers) and AI in cancer detection (2 papers). Mehdi Rahim is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Neural dynamics and brain function (3 papers) and AI in cancer detection (2 papers). Mehdi Rahim collaborates with scholars based in France, Germany and United Kingdom. Mehdi Rahim's co-authors include Gaël Varoquaux, Alexandre Abraham, Bertrand Thirion, Milham Michael, Kamalaker Dadi, Darya Chyzhyk, Steffi G. Riedel‐Heller, Franziskus Liem, Jana Kynast and Julia M. Huntenburg and has published in prestigious journals such as NeuroImage, Journal of Biomechanics and Neuropsychopharmacology.

In The Last Decade

Mehdi Rahim

14 papers receiving 690 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Predicting brain-age from multimodal imaging data captures cognitive impairment

2016 304 citations Franziskus Liem, Gaël Varoquaux et al. NeuroImage profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mehdi Rahim France	8	476	216	129	89	65	14	692
Jana Kynast Germany	9	323 0.7×	184 0.9×	193 1.5×	57 0.6×	51 0.8×	10	612
Ziliang Zhu United States	11	185 0.4×	168 0.8×	62 0.5×	61 0.7×	26 0.4×	21	733
Shile Qi United States	19	795 1.7×	282 1.3×	242 1.9×	249 2.8×	55 0.8×	58	1.2k
Hamdi Eryilmaz United States	13	453 1.0×	140 0.6×	69 0.5×	128 1.4×	11 0.2×	24	682
Rudra P. K. Poudel United Kingdom	5	264 0.6×	167 0.8×	104 0.8×	25 0.3×	78 1.2×	5	582
Mireille Nieuwenhuis Netherlands	5	457 1.0×	247 1.1×	244 1.9×	101 1.1×	32 0.5×	6	655
Anil Rao United Kingdom	13	402 0.8×	588 2.7×	249 1.9×	48 0.5×	31 0.5×	19	1.1k
Pradeep Reddy Raamana Canada	11	502 1.1×	206 1.0×	202 1.6×	106 1.2×	32 0.5×	25	737
Yeerfan Jiaerken China	22	347 0.7×	463 2.1×	179 1.4×	41 0.5×	26 0.4×	65	1.2k
Dongjin Kwon United States	16	258 0.5×	119 0.6×	68 0.5×	92 1.0×	9 0.1×	31	707

Countries citing papers authored by Mehdi Rahim

Since Specialization

Citations

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

Fields of papers citing papers by Mehdi Rahim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehdi Rahim

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

All Works

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14 of 14 papers shown

Boubacar, Habiboulaye Amadou, et al.. (2021). HeartPredict algorithm: Machine intelligence for the early detection of heart failure. Intelligence-Based Medicine. 5. 100044–100044. 1 indexed citations

Filippi, Irina, Nicolas Hoertel, Éric Artiges, et al.. (2019). Family history of alcohol use disorder is associated with brain structural and functional changes in healthy first-degree relatives. European Psychiatry. 62. 107–115. 13 indexed citations

Rahim, Mehdi, Bertrand Thirion, & Gaël Varoquaux. (2019). Population shrinkage of covariance (PoSCE) for better individual brain functional-connectivity estimation. Medical Image Analysis. 54. 138–148. 20 indexed citations

Dadi, Kamalaker, Mehdi Rahim, Alexandre Abraham, et al.. (2019). Benchmarking functional connectome-based predictive models for resting-state fMRI. NeuroImage. 192. 115–134. 212 indexed citations

Dubol, Manon, Christian Trichard, Claire Leroy, et al.. (2017). Dopamine Transporter and Reward Anticipation in a Dimensional Perspective: A Multimodal Brain Imaging Study. Neuropsychopharmacology. 43(4). 820–827. 40 indexed citations

Rahim, Mehdi, Bertrand Thirion, Danilo Bzdok, Irène Buvat, & Gaël Varoquaux. (2017). Joint prediction of multiple scores captures better individual traits from brain images. NeuroImage. 158. 145–154. 26 indexed citations

Liem, Franziskus, Gaël Varoquaux, Jana Kynast, et al.. (2016). Predicting brain-age from multimodal imaging data captures cognitive impairment. NeuroImage. 148. 179–188. 304 indexed citations breakdown →

Rahim, Mehdi, Bertrand Thirion, Claude Comtat, & Gaël Varoquaux. (2016). Transmodal Learning of Functional Networks for Alzheimer's Disease Prediction. IEEE Journal of Selected Topics in Signal Processing. 10(7). 1204–1213. 21 indexed citations

Rahim, Mehdi, Philippe Ciuciu, & Salma Bougacha. (2016). Impact of perceptual learning on resting-state fMRI connectivity: A supervised classification study. 134. 250–254. 1 indexed citations

10.

González-Castro, V́ıctor, Johan Debayle, Mehdi Rahim, et al.. (2015). Automatic classification of skin lesions using color mathematical morphology-based texture descriptors. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9534. 953409–953409. 6 indexed citations

11.

González-Castro, V́ıctor, Johan Debayle, Mehdi Rahim, et al.. (2015). Texture descriptors based on adaptive neighborhoods for classification of pigmented skin lesions. Journal of Electronic Imaging. 24(6). 61104–61104. 6 indexed citations

12.

Chen, Zhuowei, et al.. (2014). Female patient-specific finite element modeling of pelvic organ prolapse (POP). Journal of Biomechanics. 48(2). 238–245. 35 indexed citations

13.

Rahim, Mehdi, et al.. (2012). A Diffeomorphic Mapping Based Characterization of Temporal Sequences: Application to the Pelvic Organ Dynamics Assessment. Journal of Mathematical Imaging and Vision. 47(1-2). 151–164. 4 indexed citations

14.

Rahim, Mehdi, et al.. (2010). Pelvic Organs Dynamic Feature Analysis for MRI Sequence Discrimination. 3. 2496–2499. 3 indexed citations

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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