Loïc Simon
Impact in
- Geology top 10%
- 3D Surveying and Cultural Heritage
Papers in
-
- Image and Signal Denoising Methods 2
- Generative Adversarial Networks and Image Synthesis 2
- Advanced Vision and Imaging 2
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- Adversarial Robustness in Machine Learning 4
- Domain Adaptation and Few-Shot Learning 3
- Explainable Artificial Intelligence (XAI) 2
- Co-authors
- Nikos Paragios (3 shared papers)Olivier Teboul (2 shared papers)Georgios Tziritas (1 shared paper)Jean‐Michel Morel (1 shared paper)Frédéric Jurie (6 shared papers)Julien Rabin (3 shared papers)Jalal Fadili (1 shared paper)Abderrahim Elmoataz (1 shared paper)
In The Last Decade
Loïc Simon
12 papers receiving 102 citations
Peers
Comparison fields: 5 of 40
- Geology 41
- Architecture 5
- Computer Vision and Pattern Recognition 59
- Computer Graphics and Computer-Aided Design 9
- Environmental Engineering 35
Countries citing papers authored by Loïc Simon
This map shows the geographic impact of Loïc Simon'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 Loïc Simon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Loïc Simon more than expected).
Fields of papers citing papers by Loïc Simon
This network shows the impact of papers produced by Loïc Simon. 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 Loïc Simon. The network helps show where Loïc Simon may publish in the future.
Co-authors
The 18 scholars most cited alongside Loïc Simon, 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 | 2009 | 55 | |
| 2 | 2010 | 23 | |
| 3 | 2021 | 6 | |
| 4 | 2016 | 5 | |
| 5 | 2024 | 5 | |
| 6 | 2019 | 3 | |
| 7 | 2011 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2024 | 1 | |
| 10 | Equivalence of several curves assessing the similarity between probability distributions. | 2020 | 1 |
| 11 | Revisiting precision recall definition for generative modeling. | 2019 | 1 |
| 12 | 2022 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2025 | 0 |
About Loïc Simon
Loïc Simon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Epidemiology, Radiology, Nuclear Medicine and Imaging and Applied Microbiology and Biotechnology, having authored 15 papers that have together received 105 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Explainable Artificial Intelligence (XAI) (2 papers), Urinary Tract Infections Management (2 papers), Image and Signal Denoising Methods (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Vision and Imaging (2 papers) and Antibiotic Use and Resistance (2 papers). The work is most often cited by research in Geology (41 citations), Architecture (5 citations), Computer Vision and Pattern Recognition (59 citations), Computer Graphics and Computer-Aided Design (9 citations) and Environmental Engineering (35 citations). Loïc Simon has collaborated with scholars based in France, Canada and Greece. Frequent co-authors include Nikos Paragios, Olivier Teboul, Georgios Tziritas, Jean‐Michel Morel, Frédéric Jurie, Julien Rabin, Jalal Fadili, Abderrahim Elmoataz, Yvain Quéau and Chaohui Wang. Their work appears in journals such as Computer Vision and Image Understanding, Infection Control and Hospital Epidemiology, SIAM Journal on Imaging Sciences, International Journal of Computer Vision and Lecture notes in computer science.
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.