Stéphane Niyoteka

451 total citations
10 papers, 222 citations indexed

About

Stéphane Niyoteka is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Artificial Intelligence. According to data from OpenAlex, Stéphane Niyoteka has authored 10 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Radiation and 3 papers in Artificial Intelligence. Recurrent topics in Stéphane Niyoteka's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Radiotherapy Techniques (5 papers) and Medical Imaging Techniques and Applications (4 papers). Stéphane Niyoteka is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Radiotherapy Techniques (5 papers) and Medical Imaging Techniques and Applications (4 papers). Stéphane Niyoteka collaborates with scholars based in France, Netherlands and Denmark. Stéphane Niyoteka's co-authors include Roger Sun, Alexandre Carré, Éric Deutsch, Charlotte Robert, Enzo Battistella, Maria Vakalopoulou, Marvin Lerousseau, Théo Estienne, Samy Ammari and Émilie Alvarez Andres and has published in prestigious journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and Radiotherapy and Oncology.

In The Last Decade

Stéphane Niyoteka

10 papers receiving 219 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stéphane Niyoteka France 5 187 63 39 32 27 10 222
Émilie Alvarez Andres France 4 182 1.0× 66 1.0× 39 1.0× 35 1.1× 24 0.9× 5 223
Théo Estienne France 6 205 1.1× 80 1.3× 40 1.0× 40 1.3× 24 0.9× 10 269
Enzo Battistella France 6 208 1.1× 76 1.2× 40 1.0× 41 1.3× 24 0.9× 14 276
G. Klausner France 6 173 0.9× 55 0.9× 51 1.3× 25 0.8× 24 0.9× 15 265
Jason Cheng United States 8 131 0.7× 71 1.1× 46 1.2× 29 0.9× 35 1.3× 16 285
Roelant S. Eijgelaar Netherlands 7 190 1.0× 32 0.5× 131 3.4× 29 0.9× 7 0.3× 13 286
M.A.M. Meheissen Egypt 8 88 0.5× 26 0.4× 12 0.3× 24 0.8× 61 2.3× 10 213
Alain Jungo Switzerland 5 103 0.6× 26 0.4× 22 0.6× 36 1.1× 20 0.7× 9 164
Endre Grøvik Norway 9 219 1.2× 46 0.7× 67 1.7× 22 0.7× 32 1.2× 17 326
Marko Grahovac Austria 7 175 0.9× 62 1.0× 36 0.9× 40 1.3× 3 0.1× 12 206

Countries citing papers authored by Stéphane Niyoteka

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Niyoteka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphane Niyoteka

This figure shows the co-authorship network connecting the top 25 collaborators of Stéphane Niyoteka. A scholar is included among the top collaborators of Stéphane Niyoteka 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 Stéphane Niyoteka. Stéphane Niyoteka 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.
Rouhi, Rahimeh, Stéphane Niyoteka, Alexandre Carré, et al.. (2024). Automatic gross tumor volume segmentation with failure detection for safe implementation in locally advanced cervical cancer. Physics and Imaging in Radiation Oncology. 30. 100578–100578. 5 indexed citations
2.
Carré, Alexandre, Stéphane Niyoteka, Cristina Veres, et al.. (2024). Deep-Learning for Rapid Estimation of the Out-of-Field Dose in External Beam Photon Radiation Therapy – A Proof of Concept. International Journal of Radiation Oncology*Biology*Physics. 120(1). 253–264. 1 indexed citations
3.
Carré, Alexandre, Enzo Battistella, Stéphane Niyoteka, et al.. (2022). AutoComBat: a generic method for harmonizing MRI-based radiomic features. Scientific Reports. 12(1). 12762–12762. 11 indexed citations
4.
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
5.
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
6.
Niyoteka, Stéphane, Thomas Berger, Lars Fokdal, et al.. (2021). Impact of interfractional target motion in locally advanced cervical cancer patients treated with spot scanning proton therapy using an internal target volume strategy. Physics and Imaging in Radiation Oncology. 17. 84–90. 4 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.
Andres, Editha, Lucas Fidon, Maria Vakalopoulou, et al.. (2019). PO-1002 Pseudo Computed Tomography generation using 3D deep learning – Application to brain radiotherapy. Radiotherapy and Oncology. 133. S553–S553. 1 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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