Islem Rekik

3.9k total citations · 2 hit papers
101 papers, 1.9k citations indexed

About

Islem Rekik is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Islem Rekik has authored 101 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Cognitive Neuroscience, 52 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Islem Rekik's work include Functional Brain Connectivity Studies (51 papers), Advanced Neuroimaging Techniques and Applications (37 papers) and Brain Tumor Detection and Classification (13 papers). Islem Rekik is often cited by papers focused on Functional Brain Connectivity Studies (51 papers), Advanced Neuroimaging Techniques and Applications (37 papers) and Brain Tumor Detection and Classification (13 papers). Islem Rekik collaborates with scholars based in United Kingdom, Türkiye and United States. Islem Rekik's co-authors include Dinggang Shen, Mohamed Ali Mahjoub, Alaa Bessadok, Qian Wang, Gang Li, Weili Lin, Stéphanie Allassonnière, Ji Wen, Kelei He and Gan Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Scientific Reports.

In The Last Decade

Islem Rekik

94 papers receiving 1.9k 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.

Transformers in medical image analysis

2022 255 citations Islem Rekik, Dinggang Shen et al. profile →
Graph Neural Networks in Network Neuroscience

2022 147 citations Mohamed Ali Mahjoub, Islem Rekik et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Islem Rekik United Kingdom	23	785	765	445	394	308	101	1.9k
Yuankai Huo United States	29	376 0.5×	1.1k 1.4×	613 1.4×	729 1.9×	213 0.7×	183	2.7k
Enzo Ferrante Argentina	19	477 0.6×	812 1.1×	602 1.4×	563 1.4×	206 0.7×	65	2.3k
İpek Oğuz United States	24	402 0.5×	886 1.2×	211 0.5×	540 1.4×	221 0.7×	118	2.6k
Kai Ma China	27	593 0.8×	764 1.0×	717 1.6×	730 1.9×	135 0.4×	118	2.5k
Shuicai Wu China	28	486 0.6×	827 1.1×	325 0.7×	326 0.8×	208 0.7×	171	2.3k
Stanley Durrleman France	26	334 0.4×	531 0.7×	413 0.9×	546 1.4×	372 1.2×	98	2.4k
Chunfeng Lian United States	31	397 0.5×	975 1.3×	867 1.9×	752 1.9×	497 1.6×	96	2.9k
Zhong Xue United States	27	368 0.5×	1.3k 1.8×	434 1.0×	943 2.4×	252 0.8×	127	2.9k
Ahmed Soliman United States	22	243 0.3×	1.2k 1.6×	335 0.8×	345 0.9×	143 0.5×	109	2.0k
Zhongxiang Ding China	23	335 0.4×	1.2k 1.5×	431 1.0×	215 0.5×	247 0.8×	126	2.2k

Countries citing papers authored by Islem Rekik

Since Specialization

Citations

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

Fields of papers citing papers by Islem Rekik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Islem Rekik

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Geng, et al.. (2025). Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios. IEEE Transactions on Medical Imaging. PP. 1–1.

Akdağ, Hatice Camgöz, et al.. (2023). Comparative survey of multigraph integration methods for holistic brain connectivity mapping. Medical Image Analysis. 85. 102741–102741. 3 indexed citations

Akdağ, Hatice Camgöz, et al.. (2022). Multigraph classification using learnable integration network with application to gender fingerprinting. Neural Networks. 151. 250–263. 6 indexed citations

Rekik, Islem, et al.. (2021). Predicting cognitive scores with graph neural networks through sample selection learning. Brain Imaging and Behavior. 16(3). 1123–1138. 6 indexed citations

Khalifa, Anouar Ben, et al.. (2020). Brain graph super-resolution for boosting neurological disorder diagnosis using unsupervised multi-topology connectional brain template learning. Medical Image Analysis. 65. 101768–101768. 12 indexed citations

Chen, Gaoxiang, Qun Li, Fuqian Shi, Islem Rekik, & Zhifang Pan. (2020). RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields. NeuroImage. 211. 116620–116620. 61 indexed citations

Rekik, Islem, et al.. (2020). Adversarial brain multiplex prediction from a single brain network with application to gender fingerprinting. Medical Image Analysis. 67. 101843–101843. 3 indexed citations

Zhao, Feng, et al.. (2019). Two‐Phase Incremental Kernel PCA for Learning Massive or Online Datasets. Complexity. 2019(1). 8 indexed citations

McKenna, S.J., et al.. (2019). Predicting full-scale and verbal intelligence scores from functional Connectomic data in individuals with autism Spectrum disorder. Brain Imaging and Behavior. 14(5). 1769–1778. 20 indexed citations

10.

Rekik, Islem, et al.. (2019). Estimation of connectional brain templates using selective multi-view network normalization. Medical Image Analysis. 59. 101567–101567. 24 indexed citations

11.

Zhang, Lichi, Dong Nie, Xiaohuan Cao, et al.. (2018). Automatic brain labeling via multi-atlas guided fully convolutional networks. Medical Image Analysis. 51. 157–168. 19 indexed citations

12.

Lisowska, Anna, et al.. (2018). Joint Pairing and Structured Mapping of Convolutional Brain Morphological Multiplexes for Early Dementia Diagnosis. Brain Connectivity. 9(1). 22–36. 33 indexed citations

13.

Benkarim, Oualid, Gerard Sanromà, Gemma Piella, et al.. (2018). Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding. Lecture notes in computer science. 11072. 620–627. 2 indexed citations

14.

Rekik, Islem, Gang Li, Weili Lin, & Dinggang Shen. (2018). Estimation of shape and growth brain network atlases for connectomic brain mapping in developing infants. PubMed. 2018. 985–989. 2 indexed citations

15.

Wen, Hongwei, Yue Liu, Islem Rekik, et al.. (2017). Disrupted topological organization of structural networks revealed by probabilistic diffusion tractography in Tourette syndrome children. Human Brain Mapping. 38(8). 3988–4008. 41 indexed citations

16.

Rekik, Islem, Gang Li, Pew‐Thian Yap, et al.. (2017). Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI. NeuroImage. 152. 411–424. 11 indexed citations

17.

Rekik, Islem, Gang Li, Weili Lin, & Dinggang Shen. (2017). Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains. Lecture notes in computer science. 10265. 385–397. 9 indexed citations

18.

Rekik, Islem, Gang Li, Pew‐Thian Yap, et al.. (2016). A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data. Lecture notes in computer science. 9900. 210–218. 3 indexed citations

19.

Rekik, Islem, Gang Li, Guorong Wu, Weili Lin, & Dinggang Shen. (2015). Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework. Lecture notes in computer science. 9467. 197–204. 12 indexed citations

20.

Rekik, Islem, Stéphanie Allassonnière, Marie Luby, Trevor Carpenter, & Joanna M. Wardlaw. (2015). Phase-based metamorphosis of diffusion lesion in relation to perfusion values in acute ischemic stroke. NeuroImage Clinical. 9. 44–49.

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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