Etienne Bendjebbar

423 total citations
3 papers, 10 citations indexed

About

Etienne Bendjebbar is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Etienne Bendjebbar has authored 3 papers receiving a total of 10 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 3 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Artificial Intelligence. Recurrent topics in Etienne Bendjebbar's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and Gastrointestinal Tumor Research and Treatment (1 paper). Etienne Bendjebbar is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and Gastrointestinal Tumor Research and Treatment (1 paper). Etienne Bendjebbar collaborates with scholars based in France and United States. Etienne Bendjebbar's co-authors include Audrey Michot, Jean Ogier du Terrail, Jean‐Michel Coindre, Marie Karanian, Raul Perret, Jean-Baptiste Courrèges, Yec’han Laizet, Benoît Schmauch, Isabelle Hostein and Myriam Jean‐Denis and has published in prestigious journals such as Cancer Research, Scientific Reports and npj Precision Oncology.

In The Last Decade

Etienne Bendjebbar

1 paper receiving 10 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Etienne Bendjebbar France	1	6	5	4	2	2	3	10
Jean Ogier du Terrail France	2	6 1.0×	6 1.2×	4 1.0×	2 1.0×	2 1.0×	3	11
M. Lafrenière United States	2	6 1.0×	7 1.4×		2 1.0×		2	10
Roberto Tirabosco United Kingdom	2	6 1.0×	3 0.6×		2 1.0×		4	12
Mariano Oropeza-Aguilar Mexico	3	5 0.8×	5 1.0×				4	8
Tracey Bentall Canada	3	5 0.8×	6 1.2×		1 0.5×	1 0.5×	4	15
Isabel Gonzalez Spain	2	9 1.5×	4 0.8×		2 1.0×		4	15
Francesco Monteduro Italy	2	3 0.5×	7 1.4×		3 1.5×		7	11
Ibrahim Alhabli Canada	3	10 1.7×	3 0.6×				7	12
Martine Otten Netherlands	3	3 0.5×	2 0.4×		2 1.0×	2 1.0×	7	16
Honorio Barranco Spain	3	4 0.7×	8 1.6×			1 0.5×	3	12

Countries citing papers authored by Etienne Bendjebbar

Since Specialization

Citations

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

Fields of papers citing papers by Etienne Bendjebbar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Etienne Bendjebbar

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

All Works

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3 of 3 papers shown

1.

Maussion, Charles, Jean‐Michel Coindre, Jean-Yves Blay, et al.. (2025). Multimodal prediction of metastatic relapse using federated deep learning in soft-tissue sarcoma with a complex genomic profile. Scientific Reports. 15(1). 36588–36588.

2.

Fu, Yu, Marie Karanian, Raul Perret, et al.. (2023). Deep learning predicts patients outcome and mutations from digitized histology slides in gastrointestinal stromal tumor. npj Precision Oncology. 7(1). 71–71. 10 indexed citations

3.

Maussion, Charles, Jean‐Michel Coindre, Jean‐Yves Blay, et al.. (2022). Abstract 1939: Multimodal prediction of metastatic relapse using federated deep learning outperforms state-of-the-art methods in soft-tissue sarcoma. Cancer Research. 82(12_Supplement). 1939–1939.

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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