Benjamin Billot
- Radiology, Nuclear Medicine and Imaging top 5%
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Neurology
- Psychiatry and Mental health
- Co-authors
- Juan Eugenio IglesiasAdrian V. DalcaBruce FischlDouglas N. GreveKoen Van LeemputAxel ThielscherOula PuontiColin Magdamo
- Topics
- Medical Image Segmentation Techniques (6 papers)Advanced MRI Techniques and Applications (5 papers)Functional Brain Connectivity Studies (4 papers)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Benjamin Billot
17 papers receiving 617 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Radiology, Nuclear Medicine and Imaging 259
- Cognitive Neuroscience 154
- Computer Vision and Pattern Recognition 100
- Neurology 75
- Psychiatry and Mental health 70
Countries citing papers authored by Benjamin Billot
This map shows the geographic impact of Benjamin Billot'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 Benjamin Billot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Billot more than expected).
Fields of papers citing papers by Benjamin Billot
This network shows the impact of papers produced by Benjamin Billot. 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 Benjamin Billot. The network helps show where Benjamin Billot may publish in the future.
Co-authorship network of co-authors of Benjamin Billot
This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Billot. A scholar is included among the top collaborators of Benjamin Billot 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 Benjamin Billot. Benjamin Billot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 78 | |
| 5 | 10 | |
| 6 | SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retrainingbreakdown → | 195 |
| 7 | 75 | |
| 8 | 49 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | 47 | |
| 12 | 6 | |
| 13 | Learning Multi-Modal Image Registration without Real Data | 1 |
| 14 | A Learning Strategy for Contrast-agnostic MRI Segmentation | 3 |
| 15 | 115 | |
| 16 | Deep Reinforcement Learning for Subpixel Neural Tracking | 7 |
| 17 | Image Synthesis with a Convolutional Capsule Generative Adversarial Network | 10 |
About Benjamin Billot
Benjamin Billot is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 623 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Advanced MRI Techniques and Applications (5 papers) and Functional Brain Connectivity Studies (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (259 citations), Cognitive Neuroscience (154 citations) and Neurology (56 citations). Benjamin Billot has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Juan Eugenio Iglesias, Adrian V. Dalca, Bruce Fischl, Douglas N. Greve, Koen Van Leemput, Axel Thielscher, Oula Puonti, Colin Magdamo, Steven E. Arnold and Sudeshna Das. Their work appears in journals such as Proceedings of the National Academy of Sciences, NeuroImage and Radiology.
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.