Loïc Peter
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Hippo pathway signaling and YAP/TAZ
- Biophysics top 10%
Papers in
-
- Medical Image Segmentation Techniques 5
- Digital Imaging for Blood Diseases 2
-
- AI in cancer detection 7
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Guillaume Charras (3 shared papers)Alexandre Kabla (1 shared paper)Andrew R. Harris (1 shared paper)Buzz Baum (1 shared paper)Julien Bellis (1 shared paper)Jonathan E. Gale (2 shared papers)Mihoko Kajita (2 shared papers)Tom Duke (2 shared papers)
- Journals
- Medical Image Analysis (5 papers)IEEE Transactions on Medical Imaging (2 papers)Scientific Reports (1 paper)Journal of Cell Science (1 paper)Development (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Loïc Peter
18 papers receiving 525 citations
Peers
Comparison fields: 5 of 102
- Cell Biology 296
- Biophysics 31
- Biomedical Engineering 173
- Computer Vision and Pattern Recognition 77
- Orthopedics and Sports Medicine 32
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
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 258 | |
| 2 | 2014 | 88 | |
| 3 | 2014 | 28 | |
| 4 | 2020 | 21 | |
| 5 | 2014 | 17 | |
| 6 | 2017 | 15 | |
| 7 | 2018 | 15 | |
| 8 | 2016 | 12 | |
| 9 | 2015 | 12 | |
| 10 | 2017 | 11 | |
| 11 | 2001 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2013 | 9 | |
| 14 | 2018 | 8 | |
| 15 | 2022 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2016 | 4 | |
| 18 | 2003 | 2 | |
| 19 | 2021 | 2 |
About Loïc Peter
Loïc Peter is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Cell Biology and Pediatrics, Perinatology and Child Health, having authored 19 papers that have together received 533 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Medical Image Segmentation Techniques (5 papers), Medical Imaging and Analysis (5 papers), Cellular Mechanics and Interactions (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Digital Imaging for Blood Diseases (2 papers), Microtubule and mitosis dynamics (2 papers) and Fetal and Pediatric Neurological Disorders (2 papers). The work is most often cited by research in Cell Biology (296 citations), Biophysics (31 citations), Biomedical Engineering (173 citations), Computer Vision and Pattern Recognition (77 citations) and Orthopedics and Sports Medicine (32 citations). Loïc Peter has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Guillaume Charras, Alexandre Kabla, Andrew R. Harris, Buzz Baum, Julien Bellis, Jonathan E. Gale, Mihoko Kajita, Tom Duke, Yasuyuki Fujita and Nassir Navab. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Medical Imaging, Scientific Reports, Journal of Cell Science and Development.
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.