Gabriel Kocevar

616 total citations
25 papers, 407 citations indexed

About

Gabriel Kocevar 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, Gabriel Kocevar has authored 25 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Pathology and Forensic Medicine and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Gabriel Kocevar's work include Advanced Neuroimaging Techniques and Applications (16 papers), Multiple Sclerosis Research Studies (9 papers) and Fetal and Pediatric Neurological Disorders (5 papers). Gabriel Kocevar is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (16 papers), Multiple Sclerosis Research Studies (9 papers) and Fetal and Pediatric Neurological Disorders (5 papers). Gabriel Kocevar collaborates with scholars based in France, Lebanon and United States. Gabriel Kocevar's co-authors include Dominique Sappey‐Marinier, Claudio Stamile, Salem Hannoun, François Cotton, Françoise Durand‐Dubief, Sandra Vukusic, Francesco Calimeri, Giorgio Terracina, Aldo Marzullo and Sabine Van Huffel and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of the American Society of Nephrology.

In The Last Decade

Gabriel Kocevar

23 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriel Kocevar France 12 149 133 71 58 53 25 407
Rebecca J. McLean United Kingdom 13 151 1.0× 120 0.9× 63 0.9× 46 0.8× 200 3.8× 27 706
Gesche Neckelmann Norway 13 86 0.6× 173 1.3× 125 1.8× 20 0.3× 154 2.9× 16 645
Fredric K. Cantor United States 13 104 0.7× 376 2.8× 68 1.0× 24 0.4× 75 1.4× 22 755
Teresa Costabile Italy 16 69 0.5× 447 3.4× 35 0.5× 16 0.3× 105 2.0× 34 709
Fardin Nabizadeh Iran 13 46 0.3× 100 0.8× 33 0.5× 12 0.2× 60 1.1× 62 476
Paul Bronzlik Germany 12 115 0.8× 78 0.6× 73 1.0× 7 0.1× 68 1.3× 25 358
Raquel Alarcia Spain 14 266 1.8× 84 0.6× 32 0.5× 14 0.2× 437 8.2× 30 1.0k
Justin M. Honce United States 16 139 0.9× 175 1.3× 64 0.9× 16 0.3× 64 1.2× 39 641
Raffaello Canapicchi Italy 12 139 0.9× 67 0.5× 58 0.8× 253 4.4× 120 2.3× 20 628
Einar August Høgestøl Norway 9 84 0.6× 56 0.4× 111 1.6× 29 0.5× 47 0.9× 21 327

Countries citing papers authored by Gabriel Kocevar

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Kocevar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Kocevar

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Kocevar. A scholar is included among the top collaborators of Gabriel Kocevar 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 Gabriel Kocevar. Gabriel Kocevar 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.
Kocevar, Gabriel, et al.. (2022). Growth charts for small sample sizes using unsupervised clustering: Application to canine early growth. Veterinary Research Communications. 47(2). 693–706. 2 indexed citations
3.
Hannoun, Salem, Gabriel Kocevar, Delphine Maucort‐Boulch, et al.. (2021). Signal Intensity Evaluation in the Dentate Nucleus and Subcortical Gray Matter. Clinical Neuroradiology. 32(3). 677–685. 4 indexed citations
4.
5.
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
6.
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
7.
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
8.
Frindel, Carole, et al.. (2018). Overcoming Challenges of Cranial Nerve Tractography: A Targeted Review. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
9.
Hannoun, Salem, Gabriel Kocevar, Fabien Rollot, et al.. (2018). Weekly enhanced T1-weighted MRI with Gadobutrol injections in MS patients: Is there a signal intensity increase in the dentate nucleus and the globus pallidus?. European Journal of Radiology. 105. 204–208. 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.
Kocevar, Gabriel, Claudio Stamile, Salem Hannoun, et al.. (2018). Brain structural connectivity correlates with fluid intelligence in children: A DTI graph analysis. Intelligence. 72. 67–75. 18 indexed citations
12.
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
13.
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
14.
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
15.
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
16.
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
17.
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
18.
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
19.
Luauté, Jacques, et al.. (2015). La lésion fonctionnelle dans la conversion hystérique : des aliénistes à l’imagerie cérébrale. Annales Médico-psychologiques revue psychiatrique. 173(3). 267–274.
20.
Lemoine, Sandrine, et al.. (2015). Intracellular Phosphate Dynamics in Muscle Measured by Magnetic Resonance Spectroscopy during Hemodialysis. Journal of the American Society of Nephrology. 27(7). 2062–2068. 16 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

Breakdown of academic impact, for papers by Rebecca J. McLean Breakdown of academic impact, for papers by Gesche Neckelmann Breakdown of academic impact, for papers by Fredric K. Cantor Breakdown of academic impact, for papers by Teresa Costabile Breakdown of academic impact, for papers by Fardin Nabizadeh Breakdown of academic impact, for papers by Paul Bronzlik Breakdown of academic impact, for papers by Raquel Alarcia Breakdown of academic impact, for papers by Justin M. Honce Breakdown of academic impact, for papers by Raffaello Canapicchi Breakdown of academic impact, for papers by Einar August Høgestøl
Rankless by CCL
2026