Stanley Durrleman
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Psychiatry and Mental health top 2%
- Artificial Intelligence top 5%
- Neurology top 2%
- Co-authors
- Alain TrouvéNicholas AyacheXavier PennecOlivier ColliotGuido GerigAlexandre RoutierNinon BurgosSimona Bottani
- Topics
- Morphological variations and asymmetry (33 papers)Medical Image Segmentation Techniques (28 papers)Advanced Neuroimaging Techniques and Applications (21 papers)
- Journals
- Nature CommunicationsIEEE Transactions on Pattern Analysis and Machine IntelligenceNeuroImage
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Stanley Durrleman
94 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Computer Vision and Pattern Recognition 546
- Radiology, Nuclear Medicine and Imaging 531
- Psychiatry and Mental health 468
- Artificial Intelligence 413
- Neurology 372
Countries citing papers authored by Stanley Durrleman
This map shows the geographic impact of Stanley Durrleman'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 Stanley Durrleman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanley Durrleman more than expected).
Fields of papers citing papers by Stanley Durrleman
This network shows the impact of papers produced by Stanley Durrleman. 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 Stanley Durrleman. The network helps show where Stanley Durrleman may publish in the future.
Co-authorship network of co-authors of Stanley Durrleman
This figure shows the co-authorship network connecting the top 25 collaborators of Stanley Durrleman. A scholar is included among the top collaborators of Stanley Durrleman 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 Stanley Durrleman. Stanley Durrleman 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 | 0 | |
| 3 | 14 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 31 | |
| 8 | 17 | |
| 9 | 8 | |
| 10 | 0 | |
| 11 | 58 | |
| 12 | 27 | |
| 13 | 113 | |
| 14 | 22 | |
| 15 | Reconstructing early hominin brain evolution from South African Australopithecus endocasts | 1 |
| 16 | A mixed-effects model with time reparametrization for longitudinal univariate manifold-valued data | 3 |
| 17 | 4 | |
| 18 | 15 | |
| 19 | 68 | |
| 20 | 53 |
About Stanley Durrleman
Stanley Durrleman is a scholar working on Computational Mathematics, Geometry and Topology and Computer Vision and Pattern Recognition, having authored 98 papers that have together received 2.4k indexed citations. Recurring topics across this work include Morphological variations and asymmetry (33 papers), Medical Image Segmentation Techniques (28 papers) and Advanced Neuroimaging Techniques and Applications (21 papers). The work is most often cited by research in Neurology (372 citations), Geometry and Topology (343 citations) and Computational Mathematics (22 citations). Stanley Durrleman has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Alain Trouvé, Nicholas Ayache, Xavier Pennec, Olivier Colliot, Guido Gerig, Alexandre Routier, Ninon Burgos, Simona Bottani, Junhao Wen and Jorge Samper‐Gonzàlez. Their work appears in journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.
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.