Islem Rekik

3.9k citations
101 papers · 1.9k · 2 hit papers · h-index 23

Impact in

    • Functional Brain Connectivity Studies
    • EEG and Brain-Computer Interfaces
  • Neurology top 2%
    • Brain Tumor Detection and Classification

Papers in

Islem Rekik

94 papers receiving 1.9k citations

Hit Papers

Graph Neural Networks in Network Neuroscience 2022 · 147 citations
1470+1+2Years since publication50100150200250

Peers

Islem Rekik
Comparison fields: 5 of 129
  • Cognitive Neuroscience 785
  • Neurology 308
  • Radiology, Nuclear Medicine and Imaging 765
  • Health Informatics 30
  • Computer Vision and Pattern Recognition 394
Replace Shuicai Wu with:
Shuicai Wu China
Brent C. Munsell United States
Yuankai Huo United States
İpek Oğuz United States
Yakang Dai China
Chunfeng Lian United States
Stanley Durrleman France
Kai Ma China
Chong-Yaw Wee United States
Kim‐Han Thung United States
Islem Rekik relative to Shuicai Wu China Shuicai Wu's profile →
Citations per field
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Shuicai Wu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Islem Rekik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Islem Rekik Line = papers co-authored together Islem Rekik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Transformers in medical image analysis
Hit paper breakdown →
2022255
2
Graph Neural Networks in Network Neuroscience
Hit paper breakdown →
2022147
3 2018121
4 201299
5 201875
6 202061
7 201848
8 202047
9 202244
10 201842
11 202142
12 201741
13 201640
14 201737
15 201634
16 201833
17 201633
18 201730
19 201924
20 201924

About Islem Rekik

Islem Rekik is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Artificial Intelligence and Neurology, having authored 101 papers that have together received 1.9k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (51 papers), Advanced Neuroimaging Techniques and Applications (37 papers), Advanced MRI Techniques and Applications (13 papers), Brain Tumor Detection and Classification (13 papers), Neonatal and fetal brain pathology (12 papers), EEG and Brain-Computer Interfaces (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Medical Image Segmentation Techniques (8 papers). The work is most often cited by research in Cognitive Neuroscience (785 citations), Neurology (308 citations), Radiology, Nuclear Medicine and Imaging (765 citations), Health Informatics (30 citations) and Computer Vision and Pattern Recognition (394 citations). Islem Rekik has collaborated with scholars based in United Kingdom, Türkiye and United States. Frequent co-authors include Dinggang Shen, Mohamed Ali Mahjoub, Alaa Bessadok, Qian Wang, Gang Li, Weili Lin, Stéphanie Allassonnière, Gan Chen, Ji Wen and Kelei He. Their work appears in journals such as Medical Image Analysis, NeuroImage, Brain Imaging and Behavior, Human Brain Mapping and NeuroImage Clinical.

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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