Alain Jungo

493 total citations
9 papers, 164 citations indexed

About

Alain Jungo is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Biomedical Engineering. According to data from OpenAlex, Alain Jungo has authored 9 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Genetics and 2 papers in Biomedical Engineering. Recurrent topics in Alain Jungo's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Retinal Imaging and Analysis (3 papers) and Medical Imaging Techniques and Applications (3 papers). Alain Jungo is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Retinal Imaging and Analysis (3 papers) and Medical Imaging Techniques and Applications (3 papers). Alain Jungo collaborates with scholars based in Switzerland, France and Dominican Republic. Alain Jungo's co-authors include Mauricio Reyes, Olivier Scheidegger, Ekin Ermiş, Urspeter Knecht, Evelyn Herrmann, Daniel M. Aebersold, Raphael Meier, Michael K. Fix, Peter Manser and Pierre G. Carlier and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Frontiers in Neuroscience and Medical Image Analysis.

In The Last Decade

Alain Jungo

9 papers receiving 162 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alain Jungo Switzerland	5	103	49	39	36	26	9	164
Domenique M. J. Müller Netherlands	6	105 1.0×	30 0.6×	39 1.0×	19 0.5×	17 0.7×	10	217
Jason Cheng United States	8	131 1.3×	98 2.0×	121 3.1×	29 0.8×	71 2.7×	16	285
Ehab A. AlBadawy United States	8	168 1.6×	69 1.4×	38 1.0×	177 4.9×	22 0.8×	9	331
Émilie Alvarez Andres France	4	182 1.8×	32 0.7×	23 0.6×	35 1.0×	66 2.5×	5	223
Hyungseob Shin South Korea	8	144 1.4×	36 0.7×	20 0.5×	25 0.7×	47 1.8×	11	203
Suchismita Das India	5	87 0.8×	91 1.9×	69 1.8×	69 1.9×	29 1.1×	16	207
Enzo Battistella France	6	208 2.0×	34 0.7×	24 0.6×	41 1.1×	76 2.9×	14	276
Urspeter Knecht Switzerland	10	237 2.3×	68 1.4×	102 2.6×	37 1.0×	47 1.8×	20	332
Stéphane Niyoteka France	5	187 1.8×	21 0.4×	18 0.5×	32 0.9×	63 2.4×	10	222
Sheeba J. Sujit United States	7	117 1.1×	71 1.4×	83 2.1×	50 1.4×	48 1.8×	10	304

Countries citing papers authored by Alain Jungo

Since Specialization

Citations

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

Fields of papers citing papers by Alain Jungo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alain Jungo

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

All Works

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9 of 9 papers shown

Jungo, Alain, Mattia Schmid, Raphael Sznitman, et al.. (2025). GEYEDANCE: An OCT-Enhanced Multi-Modal Feedback Platform for Robot-Assisted Ophthalmic Surgery. IEEE Transactions on Medical Robotics and Bionics. 7(3). 1017–1028. 2 indexed citations

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

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

Jungo, Alain, et al.. (2020). Analyzing the Quality and Challenges of Uncertainty Estimations for Brain Tumor Segmentation. Frontiers in Neuroscience. 14. 282–282. 53 indexed citations

Jungo, Alain, et al.. (2020). pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis. Computer Methods and Programs in Biomedicine. 198. 105796–105796. 27 indexed citations

Jungo, Alain, et al.. (2020). Spatially regularized parametric map reconstruction for fast magnetic resonance fingerprinting. Medical Image Analysis. 64. 101741–101741. 19 indexed citations

Ermiş, Ekin, Alain Jungo, Raphael Meier, et al.. (2020). Fully automated brain resection cavity delineation for radiation target volume definition in glioblastoma patients using deep learning. Radiation Oncology. 15(1). 100–100. 51 indexed citations

Jungo, Alain, Ekin Ermiş, Hossein Hemmatazad, et al.. (2019). Organs at Risk Delineation for Brain Tumor Radiation Planning in Patients with Glioblastoma Using Deep Learning. International Journal of Radiation Oncology*Biology*Physics. 105(1). E718–E719. 1 indexed citations

Herrmann, Evelyn, Ekin Ermiş, Alain Jungo, et al.. (2018). P01.088 Brain resection cavity delineation for radiation target volume definition in glioblastoma patients using deep learning. Neuro-Oncology. 20(suppl_3). iii250–iii251. 3 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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