Raphael Sznitman

3.6k total citations
120 papers, 1.8k citations indexed

About

Raphael Sznitman is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Raphael Sznitman has authored 120 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Radiology, Nuclear Medicine and Imaging, 37 papers in Ophthalmology and 33 papers in Computer Vision and Pattern Recognition. Recurrent topics in Raphael Sznitman's work include Retinal Imaging and Analysis (36 papers), Glaucoma and retinal disorders (17 papers) and Optical Coherence Tomography Applications (16 papers). Raphael Sznitman is often cited by papers focused on Retinal Imaging and Analysis (36 papers), Glaucoma and retinal disorders (17 papers) and Optical Coherence Tomography Applications (16 papers). Raphael Sznitman collaborates with scholars based in Switzerland, United States and United Kingdom. Raphael Sznitman's co-authors include Pascal Fua, Bruno Jedynak, Gregory D. Hager, Martin S. Zinkernagel, Russell H. Taylor, Rogério Richa, Pablo Márquez-Neila, Thomas Kurmann, Sebastián Wolf and Ksenia Konyushkova and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Raphael Sznitman

114 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Raphael Sznitman Switzerland	23	647	455	420	379	255	120	1.8k
Hideo Yokota Japan	24	596 0.9×	309 0.7×	271 0.6×	535 1.4×	123 0.5×	175	3.0k
A. Santos Spain	27	1.6k 2.4×	768 1.7×	159 0.4×	629 1.7×	243 1.0×	192	3.6k
Gareth Funka-Lea United States	14	790 1.2×	1.7k 3.7×	78 0.2×	324 0.9×	260 1.0×	32	2.4k
María J. Ledesma‐Carbayo Spain	23	1.4k 2.2×	442 1.0×	145 0.3×	418 1.1×	129 0.5×	139	2.4k
Hideki Atsumi Japan	17	1.2k 1.8×	1.3k 2.8×	53 0.1×	459 1.2×	176 0.7×	46	2.8k
Karel J. Zuiderveld Netherlands	13	660 1.0×	2.1k 4.7×	180 0.4×	311 0.8×	285 1.1×	37	3.2k
Vicente Grau United Kingdom	30	1.2k 1.9×	943 2.1×	227 0.5×	669 1.8×	310 1.2×	144	3.5k
Dwarikanath Mahapatra Switzerland	23	905 1.4×	1.1k 2.3×	352 0.8×	207 0.5×	464 1.8×	87	1.8k
David Stein United States	18	181 0.3×	158 0.3×	198 0.5×	107 0.3×	188 0.7×	57	1.8k
Zeike A. Taylor United Kingdom	23	897 1.4×	694 1.5×	34 0.1×	783 2.1×	277 1.1×	73	2.5k

Countries citing papers authored by Raphael Sznitman

Since Specialization

Citations

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

Fields of papers citing papers by Raphael Sznitman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphael Sznitman

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

All Works

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20 of 20 papers shown

Desideri, Lorenzo Ferro, Enrico Bernardi, Alain Jungo, et al.. (2024). Artificial Intelligence–Enhanced OCT Biomarkers Analysis in Macula-off Rhegmatogenous Retinal Detachment Patients. Translational Vision Science & Technology. 13(10). 21–21. 5 indexed citations

Caldelari, Reto, et al.. (2024). Machine learning for predicting Plasmodium liver stage development in vitro using microscopy imaging. Computational and Structural Biotechnology Journal. 24. 334–342. 2 indexed citations

Chavignon, Arthur, et al.. (2024). RF-ULM: Ultrasound Localization Microscopy Learned From Radio-Frequency Wavefronts. IEEE Transactions on Medical Imaging. 43(9). 3253–3262. 5 indexed citations

Wolf, Sebastián, et al.. (2024). DeepPyramid+: medical image segmentation using Pyramid View Fusion and Deformable Pyramid Reception. International Journal of Computer Assisted Radiology and Surgery. 19(5). 851–859. 6 indexed citations

Hong, Jimin, Matthias Brendel, Kjell Erlandsson, et al.. (2023). Forecasting the Pharmacokinetics With Limited Early Frames in Dynamic Brain PET Imaging Using Neural Ordinary Differential Equation. IEEE Transactions on Radiation and Plasma Medical Sciences. 7(6). 607–617. 3 indexed citations

Couture, Olivier, et al.. (2023). Learning Super-Resolution Ultrasound Localization Microscopy from Radio-Frequency Data. 1–4. 2 indexed citations

Jungo, Alain, et al.. (2023). Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery. International Journal of Computer Assisted Radiology and Surgery. 18(6). 1085–1091. 3 indexed citations

Guo, Rui, Song Xue, Jiaxi Hu, et al.. (2022). Using domain knowledge for robust and generalizable deep learning-based CT-free PET attenuation and scatter correction. Nature Communications. 13(1). 5882–5882. 36 indexed citations

Eichhorn, Christian, Simon Greulich, Chiara Bucciarelli‐Ducci, et al.. (2022). Multiparametric Cardiovascular Magnetic Resonance Approach in Diagnosing, Monitoring, and Prognostication of Myocarditis. JACC. Cardiovascular imaging. 15(7). 1325–1338. 71 indexed citations

10.

Jacques, Marc‐Antoine, Maciej Dobrzyński, Paolo Armando Gagliardi, Raphael Sznitman, & Olivier Pertz. (2021). CODEX, a neural network approach to explore signaling dynamics landscapes. Molecular Systems Biology. 17(4). e10026–e10026. 17 indexed citations

11.

Schindler, Kaspar, Tobias Nef, Maxime O. Baud, et al.. (2021). NeuroTec Sitem-Insel Bern: Closing the Last Mile in Neurology. SHILAP Revista de lepidopterología. 5(2). 13–13. 13 indexed citations

12.

Sznitman, Raphael, et al.. (2021). A positive/unlabeled approach for the segmentation of medical sequences using point-wise supervision. Medical Image Analysis. 73. 102185–102185. 5 indexed citations

13.

Taghavi, Katayoun, Mulindi Mwanahamuntu, Partha Basu, et al.. (2020). Screening test accuracy to improve detection of precancerous lesions of the cervix in women living with HIV: a study protocol. BMJ Open. 10(12). e037955–e037955. 3 indexed citations

14.

Mendizábal, Andrea, Raphael Sznitman, & Stéphane Cotin. (2019). Force classification during robotic interventions through simulation-trained neural networks. International Journal of Computer Assisted Radiology and Surgery. 14(9). 1601–1610. 15 indexed citations

15.

Hoehn, René, et al.. (2019). Evaluation of Sequentially Optimized Reconstruction Strategy in visual field testing in normal subjects and glaucoma patients.. Investigative Ophthalmology & Visual Science. 60(9). 2477–2477. 1 indexed citations

16.

Pica, Alessia, Jan Hrbáček, Damien C. Weber, et al.. (2019). A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation maps. SERVAL (Université de Lausanne). 102. 370–379. 3 indexed citations

17.

Márquez-Neila, Pablo, et al.. (2019). Patient-attentive sequential strategy for perimetry-based visual field acquisition. Medical Image Analysis. 54. 179–192. 5 indexed citations

18.

Anschuetz, Lukas, Markus Huth, Raphael Sznitman, et al.. (2018). Association Between Residual Inhibition and Neural Activity in Patients with Tinnitus: Protocol for a Controlled Within- and Between-Subject Comparison Study. JMIR Research Protocols. 8(1). e12270–e12270. 9 indexed citations

19.

Enzmann, Volker, et al.. (2015). Assessment of ultra-high resolution optical coherence tomography for monitoring tissue effects caused by laser photocoagulation of ex-vivo porcine retina. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9321. 932112–932112. 4 indexed citations

20.

Sznitman, Raphael, et al.. (2015). Model-Independent Phenotyping of C. elegans Locomotion Using Scale-Invariant Feature Transform. PLoS ONE. 10(3). e0122326–e0122326. 9 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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