Loïc Peter
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Hippo pathway signaling and YAP/TAZ
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- Medical Image Segmentation Techniques
Papers in
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- Medical Image Segmentation Techniques 9
- Digital Imaging for Blood Diseases 3
- Advanced Image and Video Retrieval Techniques 3
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- AI in cancer detection 9
- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Guillaume Charras (3 shared papers)Andrew R. Harris (1 shared paper)Buzz Baum (1 shared paper)Alexandre Kabla (1 shared paper)Julien Bellis (1 shared paper)Nassir Navab (12 shared papers)Jonathan E. Gale (2 shared papers)Diana Mateus (6 shared papers)
- Journals
- Medical Image Analysis (5 papers)IEEE Transactions on Medical Imaging (2 papers)Journal of Cell Science (1 paper)Scientific Reports (1 paper)Nature (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Loïc Peter
24 papers receiving 682 citations
Peers
Comparison fields: 5 of 110
- Cell Biology 310
- Computer Vision and Pattern Recognition 143
- Biophysics 33
- Orthopedics and Sports Medicine 35
- Biomedical Engineering 196
Countries citing papers authored by Loïc Peter
This map shows the geographic impact of Loïc Peter'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 Peter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Loïc Peter more than expected).
Fields of papers citing papers by Loïc Peter
This network shows the impact of papers produced by Loïc Peter. 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 Peter. The network helps show where Loïc Peter may publish in the future.
Co-authors
The 25 scholars most cited alongside Loïc Peter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 283 | |
| 2 | 2014 | 93 | |
| 3 | 2014 | 44 | |
| 4 | 2014 | 30 | |
| 5 | 2020 | 28 | |
| 6 | 2016 | 19 | |
| 7 | 2014 | 18 | |
| 8 | 2015 | 18 | |
| 9 | 2016 | 18 | |
| 10 | 2015 | 17 | |
| 11 | 2018 | 17 | |
| 12 | 2017 | 16 | |
| 13 | 2017 | 14 | |
| 14 | 2013 | 12 | |
| 15 | 2022 | 12 | |
| 16 | 2018 | 11 | |
| 17 | 2001 | 10 | |
| 18 | 2019 | 8 | |
| 19 | 2017 | 6 | |
| 20 | 2016 | 4 |
About Loïc Peter
Loïc Peter is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 28 papers that have together received 688 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), AI in cancer detection (9 papers), Medical Imaging and Analysis (6 papers), Digital Imaging for Blood Diseases (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Cellular Mechanics and Interactions (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Cell Biology (310 citations), Computer Vision and Pattern Recognition (143 citations), Biophysics (33 citations), Orthopedics and Sports Medicine (35 citations) and Biomedical Engineering (196 citations). Loïc Peter has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Guillaume Charras, Andrew R. Harris, Buzz Baum, Alexandre Kabla, Julien Bellis, Nassir Navab, Jonathan E. Gale, Diana Mateus, Yasuyuki Fujita and Tom Duke. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Medical Imaging, Journal of Cell Science, Scientific Reports and Nature.
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.