Simon Jégou
Impact in
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Health Informatics top 5%
Papers in
- Oncology 3
- Lung Cancer Research Studies 2
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- Radiomics and Machine Learning in Medical Imaging 2
- Medical Imaging Techniques and Applications 1
- Co-authors
- Yoshua Bengio (1 shared paper)Michal Drozdzal (1 shared paper)Adriana Romero (1 shared paper)David Vázquez (1 shared paper)Paul Jehanno (4 shared papers)Paul Hérent (3 shared papers)Olivier Dehaene (4 shared papers)Charlie Saillard (3 shared papers)
- Journals
- Diagnostic and Interventional Imaging (3 papers)European Radiology (2 papers)Future Oncology (2 papers)Optics & Laser Technology (1 paper)Materials Characterization (1 paper)
- Partner nations
- FranceSwitzerlandUnited Kingdom
In The Last Decade
Simon Jégou
13 papers receiving 1.8k citations
Simon Jégou's Hit Papers
Peers
Comparison fields: 5 of 135
- Computer Vision and Pattern Recognition 764
- Health Informatics 45
- Radiology, Nuclear Medicine and Imaging 542
- Media Technology 180
- Neurology 108
Countries citing papers authored by Simon Jégou
This map shows the geographic impact of Simon Jégou'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 Simon Jégou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Jégou more than expected).
Fields of papers citing papers by Simon Jégou
This network shows the impact of papers produced by Simon Jégou. 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 Simon Jégou. The network helps show where Simon Jégou may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Jégou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation Hit paper breakdown → | 2017 | 1354 |
| 2 | 2019 | 121 | |
| 3 | 2020 | 104 | |
| 4 | 2019 | 99 | |
| 5 | 2020 | 43 | |
| 6 | 2020 | 28 | |
| 7 | 2023 | 16 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 5 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2018 | 4 | |
| 13 | 2025 | 1 |
About Simon Jégou
Simon Jégou is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Hepatology and Media Technology, having authored 13 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (2 papers), Lung Cancer Research Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Metallurgy and Material Forming (1 paper), Medical Imaging Techniques and Applications (1 paper), Salivary Gland Tumors Diagnosis and Treatment (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Nutrition and Health in Aging (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (764 citations), Health Informatics (45 citations), Radiology, Nuclear Medicine and Imaging (542 citations), Media Technology (180 citations) and Neurology (108 citations). Simon Jégou has collaborated with scholars based in France, Switzerland and United Kingdom. Frequent co-authors include Yoshua Bengio, Michal Drozdzal, Adriana Romero, David Vázquez, Paul Jehanno, Paul Hérent, Olivier Dehaene, Charlie Saillard, Benoît Schmauch and Alain Luciani. Their work appears in journals such as Diagnostic and Interventional Imaging, European Radiology, Future Oncology, Optics & Laser Technology and Materials Characterization.
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.