Ahmed E. Fetit

426 total citations
12 papers, 169 citations indexed

About

Ahmed E. Fetit is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ahmed E. Fetit has authored 12 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pediatrics, Perinatology and Child Health and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ahmed E. Fetit's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Neonatal and fetal brain pathology (4 papers) and Fetal and Pediatric Neurological Disorders (2 papers). Ahmed E. Fetit is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Neonatal and fetal brain pathology (4 papers) and Fetal and Pediatric Neurological Disorders (2 papers). Ahmed E. Fetit collaborates with scholars based in United Kingdom, Germany and Canada. Ahmed E. Fetit's co-authors include Theodoros N. Arvanitis, Jan Novák, Andrew C. Peet, Richard G. Grundy, Dorothee P. Auer, Daniel Rodriguez Gutierrez, Chris Clark, Soroosh Afyouni, Alex S. F. Doney and Tom MacGillivray and has published in prestigious journals such as Scientific Reports, NMR in Biomedicine and Communications Biology.

In The Last Decade

Ahmed E. Fetit

11 papers receiving 167 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahmed E. Fetit United Kingdom 7 122 51 35 21 20 12 169
Domenique M. J. Müller Netherlands 6 105 0.9× 75 1.5× 19 0.5× 11 0.5× 39 1.9× 10 217
Debanjan Haldar United States 9 66 0.5× 54 1.1× 9 0.3× 18 0.9× 51 2.5× 22 250
Seyyed Ali Hosseini Iran 7 114 0.9× 36 0.7× 19 0.5× 31 1.5× 6 0.3× 28 150
Amir Shafaat Iran 4 53 0.4× 34 0.7× 13 0.4× 17 0.8× 19 0.9× 6 131
Amer Alaref Canada 10 122 1.0× 6 0.1× 44 1.3× 51 2.4× 15 0.8× 25 259
Roxana Améli France 7 68 0.6× 54 1.1× 10 0.3× 33 1.6× 32 1.6× 20 161
Stéphane Niyoteka France 5 187 1.5× 39 0.8× 32 0.9× 23 1.1× 18 0.9× 10 222
Taman Upadhaya France 6 103 0.8× 18 0.4× 58 1.7× 26 1.2× 14 0.7× 12 142
Émilie Alvarez Andres France 4 182 1.5× 39 0.8× 35 1.0× 21 1.0× 23 1.1× 5 223
Marko Grahovac Austria 7 175 1.4× 36 0.7× 40 1.1× 41 2.0× 14 0.7× 12 206

Countries citing papers authored by Ahmed E. Fetit

Since Specialization
Citations

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

Fields of papers citing papers by Ahmed E. Fetit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ahmed E. Fetit. 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 Ahmed E. Fetit. The network helps show where Ahmed E. Fetit may publish in the future.

Co-authorship network of co-authors of Ahmed E. Fetit

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

All Works

12 of 12 papers shown
1.
Karolis, Vyacheslav, Sean P. Fitzgibbon, Lucilio Cordero‐Grande, et al.. (2023). Maturational networks of human fetal brain activity reveal emerging connectivity patterns prior to ex-utero exposure. Communications Biology. 6(1). 661–661. 9 indexed citations
2.
Fetit, Ahmed E., et al.. (2022). Accurate segmentation of neonatal brain MRI with deep learning. Frontiers in Neuroinformatics. 16. 1006532–1006532. 5 indexed citations
3.
Fetit, Ahmed E., Amir Alansary, Lucilio Cordero‐Grande, et al.. (2020). A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling. Spiral (Imperial College London). 241–261. 2 indexed citations
4.
Fetit, Ahmed E., et al.. (2020). Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain. Spiral (Imperial College London). 230–240.
5.
Fetit, Ahmed E., Alex S. F. Doney, Stephen Hogg, et al.. (2019). A multimodal approach to cardiovascular risk stratification in patients with type 2 diabetes incorporating retinal, genomic and clinical features. Scientific Reports. 9(1). 3591–3591. 23 indexed citations
6.
Fetit, Ahmed E., Jan Novák, Daniel Rodriguez Gutierrez, et al.. (2017). Radiomics in paediatric neuro‐oncology: A multicentre study on MRI texture analysis. NMR in Biomedicine. 31(1). 44 indexed citations
7.
Fetit, Ahmed E., Jan Novák, Daniel Rodriguez Gutierrez, et al.. (2015). 3D Texture Analysis of Heterogeneous MRI Data for Diagnostic Classification of Childhood Brain Tumours.. PubMed. 213. 19–22. 7 indexed citations
8.
Afyouni, Soroosh, Ahmed E. Fetit, & Theodoros N. Arvanitis. (2015). #DigitalHealth: Exploring Users' Perspectives through Social Media Analysis. Studies in health technology and informatics. 213. 243–6. 7 indexed citations
9.
Fetit, Ahmed E., Omar Khan, Soroosh Afyouni, et al.. (2015). An Extensible Neuroimaging e-Repository for Clinical Trials of Paediatric Brain Tumours.. PubMed. 213. 49–52. 2 indexed citations
10.
Fetit, Ahmed E., Jan Novák, Andrew C. Peet, & Theodoros N. Arvanitis. (2015). Three‐dimensional textural features of conventional MRI improve diagnostic classification of childhood brain tumours. NMR in Biomedicine. 28(9). 1174–1184. 56 indexed citations
11.
Fetit, Ahmed E., Jan Novák, Andrew C. Peet, & Theodoros N. Arvanitis. (2014). 3D texture analysis of MR images to improve classification of paediatric brain tumours: a preliminary study.. PubMed. 202. 213–6. 12 indexed citations
12.
Fetit, Ahmed E., Jan Novák, Daniel Rodriguez Gutierrez, et al.. (2013). MRI texture analysis in paediatric oncology: a preliminary study.. PubMed. 190. 169–71. 2 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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