Nicolas Wiest-Daesslé
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Cognitive Neuroscience
- Computational Mechanics
- Co-authors
- Sylvain PrimaChristian BarillotSean MorrisseyPierrick CoupéOlivier CommowickRachid DericheMaxime DescoteauxCamille Maumet
- Topics
- Advanced Neuroimaging Techniques and Applications (10 papers)Advanced MRI Techniques and Applications (6 papers)Medical Image Segmentation Techniques (5 papers)
- Cited by
- Computational MathematicsRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Partner nations
- FranceGermanySwitzerland
In The Last Decade
Nicolas Wiest-Daesslé
13 papers receiving 466 citations
Peers
Comparison fields: 5 of 69
- Radiology, Nuclear Medicine and Imaging 283
- Computer Vision and Pattern Recognition 198
- Media Technology 66
- Cognitive Neuroscience 62
- Computational Mechanics 48
Countries citing papers authored by Nicolas Wiest-Daesslé
This map shows the geographic impact of Nicolas Wiest-Daesslé'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 Nicolas Wiest-Daesslé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Wiest-Daesslé more than expected).
Fields of papers citing papers by Nicolas Wiest-Daesslé
This network shows the impact of papers produced by Nicolas Wiest-Daesslé. 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 Nicolas Wiest-Daesslé. The network helps show where Nicolas Wiest-Daesslé may publish in the future.
Co-authorship network of co-authors of Nicolas Wiest-Daesslé
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Wiest-Daesslé. A scholar is included among the top collaborators of Nicolas Wiest-Daesslé 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 Nicolas Wiest-Daesslé. Nicolas Wiest-Daesslé is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 29 | |
| 4 | 15 | |
| 5 | 6 | |
| 6 | 32 | |
| 7 | Multifiber Deterministic Streamline Tractography of the Corticospinal Tract Based on a New Diffusion Model | 1 |
| 8 | Comparison of 3 Diffusion Models to Track the Hand Motor Fibers within the Corticospinal Tract Using Functional, Anatomical and Diffusion MRI | 1 |
| 9 | 75 | |
| 10 | 215 | |
| 11 | Automated DTI analysis of MS lesions and their contralateral regions of interest using the mid-sagittal plane as a reference | 0 |
| 12 | 66 | |
| 13 | 15 | |
| 14 | 10 | |
| 15 | 5 | |
| 16 | 5 |
About Nicolas Wiest-Daesslé
Nicolas Wiest-Daesslé is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Nuclear and High Energy Physics, having authored 16 papers that have together received 487 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (10 papers), Advanced MRI Techniques and Applications (6 papers) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Computational Mathematics (10 citations), Radiology, Nuclear Medicine and Imaging (283 citations) and Computer Vision and Pattern Recognition (198 citations). Nicolas Wiest-Daesslé has collaborated with scholars based in France, Germany and Switzerland. Frequent co-authors include Sylvain Prima, Christian Barillot, Sean Morrissey, Pierrick Coupé, Olivier Commowick, Rachid Deriche, Maxime Descoteaux, Camille Maumet, Xavier Morandi and Romuald Seizeur. Their work appears in journals such as Stem Cell Reports, Lecture notes in computer science and European Journal of Cell Biology.
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.