Théo Estienne

639 total citations
10 papers, 269 citations indexed

About

Théo Estienne is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Théo Estienne has authored 10 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Biomedical Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Théo Estienne's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced X-ray and CT Imaging (3 papers) and Medical Imaging Techniques and Applications (2 papers). Théo Estienne is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced X-ray and CT Imaging (3 papers) and Medical Imaging Techniques and Applications (2 papers). Théo Estienne collaborates with scholars based in France. Théo Estienne's co-authors include Roger Sun, Marvin Lerousseau, Nikos Paragios, Éric Deutsch, Enzo Battistella, Alexandre Carré, Charlotte Robert, Émilie Alvarez Andres, Maria Vakalopoulou and Stéphane Niyoteka and has published in prestigious journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and Annals of the Rheumatic Diseases.

In The Last Decade

Théo Estienne

9 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Théo Estienne France 6 205 80 40 40 32 10 269
Sara Ahmed United States 9 244 1.2× 59 0.7× 75 1.9× 40 1.0× 19 0.6× 33 362
Enzo Battistella France 6 208 1.0× 76 0.9× 40 1.0× 41 1.0× 34 1.1× 14 276
G. Klausner France 6 173 0.8× 55 0.7× 51 1.3× 25 0.6× 19 0.6× 15 265
Émilie Alvarez Andres France 4 182 0.9× 66 0.8× 39 1.0× 35 0.9× 32 1.0× 5 223
Stéphane Niyoteka France 5 187 0.9× 63 0.8× 39 1.0× 32 0.8× 21 0.7× 10 222
Zijian Zhou United States 8 124 0.6× 51 0.6× 34 0.8× 22 0.6× 25 0.8× 16 286
Endre Grøvik Norway 9 219 1.1× 46 0.6× 67 1.7× 22 0.6× 33 1.0× 17 326
Stefan Leger Germany 8 185 0.9× 64 0.8× 27 0.7× 23 0.6× 11 0.3× 13 259

Countries citing papers authored by Théo Estienne

Since Specialization
Citations

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

Fields of papers citing papers by Théo Estienne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Théo Estienne

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

All Works

10 of 10 papers shown
1.
Selmi, T. Aït Si, et al.. (2023). POS0891 AUTOMATIC COMPUTATION OF KNEE OSTEOARTHRITIS SEVERITY USING KNEE X-RAYS AND CONVOLUTIONAL NEURAL NETWORKS. Annals of the Rheumatic Diseases. 82. 753–753.
2.
Bonnin, M., et al.. (2023). Artificial Intelligence Radiographic Analysis Tool for Total Knee Arthroplasty. The Journal of Arthroplasty. 38(7). S199–S207.e2. 22 indexed citations
3.
Bonnin, M., et al.. (2023). POS0160 ARTIFICIAL INTELLIGENCE ALGORITHMS FOR AUTOMATIC STRATIFICATION OF RHEUMATOID ARTHRITIS USING HAND X-RAYS. Annals of the Rheumatic Diseases. 82. 302–302. 1 indexed citations
4.
Sun, Roger, Marvin Lerousseau, Théo Estienne, et al.. (2022). Investigation of radiomics based intra-patient inter-tumor heterogeneity and the impact of tumor subsampling strategies. Scientific Reports. 12(1). 17244–17244. 18 indexed citations
5.
Battistella, Enzo, Maria Vakalopoulou, Roger Sun, et al.. (2021). COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(6). 3317–3331. 3 indexed citations
6.
Sun, Roger, Marvin Lerousseau, Alexandre Carré, et al.. (2021). Intelligence artificielle en radiothérapie : radiomique, pathomique, et prédiction de la survie et de la réponse aux traitements. Cancer/Radiothérapie. 25(6-7). 630–637. 5 indexed citations
7.
Andres, Émilie Alvarez, Lucas Fidon, Maria Vakalopoulou, et al.. (2020). Dosimetry-Driven Quality Measure of Brain Pseudo Computed Tomography Generated From Deep Learning for MRI-Only Radiation Therapy Treatment Planning. International Journal of Radiation Oncology*Biology*Physics. 108(3). 813–823. 27 indexed citations
8.
Carré, Alexandre, G. Klausner, Myriam Edjlali, et al.. (2020). Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics. Scientific Reports. 10(1). 12340–12340. 164 indexed citations
9.
Carré, Alexandre, G. Klausner, Myriam Edjlali, et al.. (2020). PH-0532: Standardization of brain MRI across machines and protocols: bridging the gap for MRI-based radiomics. Radiotherapy and Oncology. 152. S294–S294. 1 indexed citations
10.
Estienne, Théo, Marvin Lerousseau, Maria Vakalopoulou, et al.. (2020). Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation. Frontiers in Computational Neuroscience. 14. 17–17. 28 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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