Salim Kanoun

100 total papers · 1.9k total citations
41 papers, 870 citations indexed

About

Salim Kanoun is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Salim Kanoun has authored 41 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Pathology and Forensic Medicine and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Salim Kanoun's work include Lymphoma Diagnosis and Treatment (21 papers), Medical Imaging Techniques and Applications (19 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). Salim Kanoun is often cited by papers focused on Lymphoma Diagnosis and Treatment (21 papers), Medical Imaging Techniques and Applications (19 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). Salim Kanoun collaborates with scholars based in France, Belgium and United States. Salim Kanoun's co-authors include Alina Berriolo-Riedinger, Olivier Casasnovas, François Brunotte, Olivier Humbert, Alexandre Cochet, Inna Dygai‐Cochet, Cédric Rossi, Michel Toubeau, C. Legouge and Michel Meignan and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Salim Kanoun

38 papers receiving 864 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Salim Kanoun 563 518 284 151 129 41 870
Stéphanie Becker 472 0.8× 614 1.2× 273 1.0× 259 1.7× 123 1.0× 56 1.0k
Simon Buus 426 0.8× 447 0.9× 411 1.4× 212 1.4× 181 1.4× 19 917
Byung Hyun Byun 570 1.0× 141 0.3× 409 1.4× 169 1.1× 74 0.6× 46 895
Tima Davidson 483 0.9× 350 0.7× 305 1.1× 243 1.6× 87 0.7× 79 1.0k
Anne Lerberg Nielsen 377 0.7× 329 0.6× 255 0.9× 174 1.2× 123 1.0× 46 954
Michele Gregianin 441 0.8× 430 0.8× 349 1.2× 122 0.8× 190 1.5× 42 971
Cristina Gámez‐Cenzano 475 0.8× 138 0.3× 310 1.1× 192 1.3× 141 1.1× 53 965
Valerie Reed 162 0.3× 382 0.7× 254 0.9× 284 1.9× 209 1.6× 43 860
Bogdan Małkowski 356 0.6× 299 0.6× 225 0.8× 131 0.9× 125 1.0× 70 778
Chieh Lin 519 0.9× 432 0.8× 145 0.5× 214 1.4× 169 1.3× 27 927

Countries citing papers authored by Salim Kanoun

Since Specialization
Citations

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

Fields of papers citing papers by Salim Kanoun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salim Kanoun

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

All Works

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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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