Claudio Stamile

888 total citations
27 papers, 488 citations indexed

About

Claudio Stamile is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Claudio Stamile has authored 27 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pathology and Forensic Medicine and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Claudio Stamile's work include Advanced Neuroimaging Techniques and Applications (18 papers), Multiple Sclerosis Research Studies (10 papers) and Fetal and Pediatric Neurological Disorders (7 papers). Claudio Stamile is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (18 papers), Multiple Sclerosis Research Studies (10 papers) and Fetal and Pediatric Neurological Disorders (7 papers). Claudio Stamile collaborates with scholars based in France, Italy and Lebanon. Claudio Stamile's co-authors include Dominique Sappey‐Marinier, Gabriel Kocevar, Françoise Durand‐Dubief, Aldo Marzullo, Francesco Calimeri, Giorgio Terracina, Salem Hannoun, François Cotton, Sandra Vukusic and Sabine Van Huffel and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Cerebral Blood Flow & Metabolism.

In The Last Decade

Claudio Stamile

26 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudio Stamile France 13 189 131 88 67 63 27 488
Annemie Ribbens Belgium 14 265 1.4× 253 1.9× 142 1.6× 67 1.0× 63 1.0× 37 752
Muhamed Baraković Switzerland 13 363 1.9× 189 1.4× 119 1.4× 56 0.8× 15 0.2× 46 593
Hui Jing Yu United States 11 139 0.7× 83 0.6× 81 0.9× 45 0.7× 41 0.7× 38 452
Nathan Gaw United States 8 176 0.9× 72 0.5× 95 1.1× 24 0.4× 131 2.1× 20 534
Sushmita Datta United States 17 342 1.8× 539 4.1× 62 0.7× 92 1.4× 49 0.8× 27 933
Eloy Roura Spain 11 208 1.1× 171 1.3× 37 0.4× 52 0.8× 101 1.6× 18 666
Saori Koshino Japan 13 373 2.0× 52 0.4× 131 1.5× 19 0.3× 99 1.6× 19 632
Jing Wan China 14 224 1.2× 27 0.2× 228 2.6× 76 1.1× 87 1.4× 31 692
Alexandre Guimond Canada 9 375 2.0× 70 0.5× 92 1.0× 38 0.6× 64 1.0× 14 769
Yong Chu United States 9 307 1.6× 65 0.5× 51 0.6× 38 0.6× 119 1.9× 17 497

Countries citing papers authored by Claudio Stamile

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Stamile

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Stamile

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

All Works

20 of 20 papers shown
1.
Sappey‐Marinier, Dominique, Gabriel Kocevar, Salem Hannoun, et al.. (2022). Case Report: True Motor Recovery of Upper Limb Beyond 5 Years Post-stroke. Frontiers in Neurology. 13. 804528–804528. 5 indexed citations
2.
Stamile, Claudio, Aldo Marzullo, Frederik Maes, et al.. (2022). Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome. Frontiers in Robotics and AI. 9. 926255–926255. 7 indexed citations
3.
Marzullo, Aldo, et al.. (2021). Ensemble Learning for Multiple Sclerosis Disability Estimation Using Brain Structural Connectivity. Brain Connectivity. 12(5). 476–488. 11 indexed citations
4.
Marzullo, Aldo, et al.. (2021). Data augmentation using generative adversarial neural networks on brain structural connectivity in multiple sclerosis. Computer Methods and Programs in Biomedicine. 206. 106113–106113. 48 indexed citations
5.
Calimeri, Francesco, Francesco Cauteruccio, Aldo Marzullo, et al.. (2019). A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders. Università Politecnica delle Marche (Università Politecnica delle Marche). 19 indexed citations
6.
Marzullo, Aldo, Gabriel Kocevar, Claudio Stamile, et al.. (2019). Classification of Multiple Sclerosis Clinical Profiles via Graph Convolutional Neural Networks. Frontiers in Neuroscience. 13. 594–594. 49 indexed citations
7.
Delon‐Martin, Chantal, Gabriel Kocevar, Claudio Stamile, et al.. (2019). Topological Modification of Brain Networks Organization in Children With High Intelligence Quotient: A Resting-State fMRI Study. Frontiers in Human Neuroscience. 13. 241–241. 11 indexed citations
8.
Marzullo, Aldo, Gabriel Kocevar, Claudio Stamile, et al.. (2019). Prediction of Multiple Sclerosis Patient Disability from Structural Connectivity using Convolutional Neural Networks. PubMed. 2019. 2087–2090. 13 indexed citations
9.
Calimeri, Francesco, Aldo Marzullo, Claudio Stamile, & Giorgio Terracina. (2018). Graph based neural networks for automatic classification of multiple sclerosis clinical courses.. The European Symposium on Artificial Neural Networks. 11 indexed citations
10.
Hannoun, Salem, Gabriel Kocevar, Claudio Stamile, et al.. (2018). Evidence of axonal damage in cerebellar peduncles without T2-lesions in multiple sclerosis. European Journal of Radiology. 108. 114–119. 10 indexed citations
11.
Ion‐Mărgineanu, Adrian, Gabriel Kocevar, Claudio Stamile, et al.. (2017). Machine Learning Approach for Classifying Multiple Sclerosis Courses by Combining Clinical Data with Lesion Loads and Magnetic Resonance Metabolic Features. Frontiers in Neuroscience. 11. 398–398. 48 indexed citations
12.
Stamile, Claudio, Gabriel Kocevar, François Cotton, & Dominique Sappey‐Marinier. (2017). A genetic algorithm-based model for longitudinal changes detection in white matter fiber-bundles of patient with multiple sclerosis. Computers in Biology and Medicine. 84. 182–188. 4 indexed citations
13.
Hannoun, Salem, Gabriel Kocevar, Claudio Stamile, et al.. (2017). Hemispheric Differences in White Matter Microstructure between Two Profiles of Children with High Intelligence Quotient vs. Controls: A Tract-Based Spatial Statistics Study. Frontiers in Neuroscience. 11. 173–173. 28 indexed citations
14.
Kocevar, Gabriel, Claudio Stamile, Salem Hannoun, et al.. (2017). Weekly follow up of acute lesions in three early multiple sclerosis patients using MR spectroscopy and diffusion. Journal of Neuroradiology. 45(2). 108–113. 6 indexed citations
15.
Stamile, Claudio, Gabriel Kocevar, François Cotton, et al.. (2016). Multiparametric Non-Negative Matrix Factorization for Longitudinal Variations Detection in White-Matter Fiber Bundles. IEEE Journal of Biomedical and Health Informatics. 21(5). 1393–1402. 5 indexed citations
16.
Stamile, Claudio, Gabriel Kocevar, François Cotton, et al.. (2016). A Sensitive and Automatic White Matter Fiber Tracts Model for Longitudinal Analysis of Diffusion Tensor Images in Multiple Sclerosis. PLoS ONE. 11(5). e0156405–e0156405. 12 indexed citations
17.
Cauteruccio, Francesco, Claudio Stamile, Giorgio Terracina, Domenico Ursino, & Dominique Sappey‐Marinier. (2016). An automated string-based approach to extracting and characterizing White Matter fiber-bundles. Computers in Biology and Medicine. 77. 64–75. 15 indexed citations
18.
Calimeri, Francesco, Aldo Marzullo, Claudio Stamile, & Giorgio Terracina. (2016). Optic Disc Detection Using Fine Tuned Convolutional Neural Networks. 69–75. 15 indexed citations
19.
Kocevar, Gabriel, Claudio Stamile, Salem Hannoun, et al.. (2016). Graph Theory-Based Brain Connectivity for Automatic Classification of Multiple Sclerosis Clinical Courses. Frontiers in Neuroscience. 10. 478–478. 67 indexed citations
20.
Cauteruccio, Francesco, et al.. (2015). An automated string-based approach to White Matter fiber-bundles clustering. 6. 1–8. 11 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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