Hamza Kebiri

412 total citations
9 papers, 159 citations indexed

About

Hamza Kebiri is a scholar working on Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Hamza Kebiri has authored 9 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pediatrics, Perinatology and Child Health, 7 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Genetics. Recurrent topics in Hamza Kebiri's work include Fetal and Pediatric Neurological Disorders (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Neonatal and fetal brain pathology (4 papers). Hamza Kebiri is often cited by papers focused on Fetal and Pediatric Neurological Disorders (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Neonatal and fetal brain pathology (4 papers). Hamza Kebiri collaborates with scholars based in Switzerland, United States and Netherlands. Hamza Kebiri's co-authors include Meritxell Bach Cuadra, Priscille de Dumast, András Jakab, Pietro Maggi, Raimund Kottke, Martina Absinta, Reza Rahmanzadeh, Francesco La Rosa, Po‐Jui Lu and Renaud Du Pasquier and has published in prestigious journals such as Scientific Reports, Medical Image Analysis and Frontiers in Neurology.

In The Last Decade

Hamza Kebiri

8 papers receiving 158 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hamza Kebiri Switzerland	6	66	64	43	31	29	9	159
Lianrui Zuo United States	6	12 0.2×	125 2.0×	59 1.4×	81 2.6×	11 0.4×	25	209
Ivan Coronado United States	8	16 0.2×	145 2.3×	56 1.3×	84 2.7×	101 3.5×	12	330
Ahmed E. Fetit United Kingdom	7	15 0.2×	122 1.9×	35 0.8×	14 0.5×	2 0.1×	12	169
Domenique M. J. Müller Netherlands	6	8 0.1×	105 1.6×	19 0.4×	30 1.0×	15 0.5×	10	217
Hanpei Miao China	9	8 0.1×	164 2.6×	37 0.9×	42 1.4×	20 0.7×	21	253
Pietro Antonio Cicalese United States	6	5 0.1×	83 1.3×	36 0.8×	8 0.3×	12 0.4×	8	265
Hoon Dong Kim South Korea	9	6 0.1×	183 2.9×	19 0.4×	32 1.0×	28 1.0×	24	291
Janine Olesch Germany	6	5 0.1×	87 1.4×	25 0.6×	35 1.1×	3 0.1×	7	144
Bohao Zhang China	8	14 0.2×	26 0.4×	5 0.1×	8 0.3×	5 0.2×	31	132
Ho Hin Lee United States	8	11 0.2×	108 1.7×	64 1.5×	89 2.9×	2 0.1×	30	210

Countries citing papers authored by Hamza Kebiri

Since Specialization

Citations

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

Fields of papers citing papers by Hamza Kebiri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamza Kebiri

This figure shows the co-authorship network connecting the top 25 collaborators of Hamza Kebiri. A scholar is included among the top collaborators of Hamza Kebiri 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 Hamza Kebiri. Hamza Kebiri 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:

9 of 9 papers shown

Kebiri, Hamza, Farnaz Delavari, Dimitri Van De Ville, João Jorge, & Meritxell Bach Cuadra. (2025). Functional organization of the neonatal thalamus across development depicted by functional MRI. Imaging Neuroscience. 3.

Kebiri, Hamza, Ali Gholipour, R. P. Lin, et al.. (2024). Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study. Medical Image Analysis. 95. 103186–103186. 8 indexed citations

Lin, R. P., Ali Gholipour, Jean‐Philippe Thiran, et al.. (2024). Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–5. 2 indexed citations

Kebiri, Hamza, Erick J. Canales‐Rodríguez, Priscille de Dumast, et al.. (2022). Through-Plane Super-Resolution With Autoencoders in Diffusion Magnetic Resonance Imaging of the Developing Human Brain. Frontiers in Neurology. 13. 827816–827816. 3 indexed citations

Roy, Christopher, Tom Hilbert, Priscille de Dumast, et al.. (2022). A Fetal Brain magnetic resonance Acquisition Numerical phantom (FaBiAN). Scientific Reports. 12(1). 8682–8682. 7 indexed citations

Kebiri, Hamza, et al.. (2021). Multi-view convolutional neural networks for automated ocular structure and tumor segmentation in retinoblastoma. Scientific Reports. 11(1). 14590–14590. 22 indexed citations

Dumast, Priscille de, Pierre Deman, Hamza Kebiri, et al.. (2021). Fetal Brain Biometric Measurements on 3D Super-Resolution Reconstructed T2-Weighted MRI: An Intra- and Inter-observer Agreement Study. Frontiers in Pediatrics. 9. 639746–639746. 13 indexed citations

Payette, Kelly, Priscille de Dumast, Hamza Kebiri, et al.. (2021). An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset. Zurich Open Repository and Archive (University of Zurich). 61 indexed citations

Rosa, Francesco La, Hamza Kebiri, Po‐Jui Lu, et al.. (2020). RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis. NeuroImage Clinical. 28. 102412–102412. 43 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.

Explore authors with similar magnitude of impact