Stanley Durrleman

5.7k citations
98 papers · 2.4k indexed · 1 hit paper · h-index 26

Stanley Durrleman

94 papers receiving 2.3k citations

Hit Papers

Convolutional neural networks for classification of Alzhe...4232020202620222024100200300400

Peers

Stanley Durrleman
Comparison fields: 5 of 148
  • Neurology 372
  • Geometry and Topology 343
  • Computational Mathematics 22
  • Psychiatry and Mental health 468
  • Computer Vision and Pattern Recognition 546
Replace Shantanu H. Joshi with:
Shantanu H. Joshi United States
Mirza Faisal Beg Canada
İpek Oğuz United States
Daniel S. Marcus United States
Tracy H. Wang United States
Andrew L. Janke Australia
Hans J. Johnson United States
Marcel Prastawa United States
Yonggang Shi United States
Kilian M. Pohl United States
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Citations per field
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Shantanu H. Joshi · 1×
Citations per year

Countries citing papers authored by Stanley Durrleman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Stanley Durrleman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stanley Durrleman Line = papers co-authored together Stanley Durrleman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202314
4 20237
5 20216
6 20202
7 202031
8 202017
9 20208
10 20200
11 202058
12 202027
13 2018113
14 201822
15
Reconstructing early hominin brain evolution from South African Australopithecus endocasts
20161
16
A mixed-effects model with time reparametrization for longitudinal univariate manifold-valued data
20153
17 20134
18 201315
19 201168
20 201153

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), Advanced Neuroimaging Techniques and Applications (21 papers), Dementia and Cognitive Impairment Research (15 papers), Functional Brain Connectivity Studies (12 papers), Alzheimer's disease research and treatments (11 papers), Statistical Methods and Inference (8 papers) and Parkinson's Disease Mechanisms and Treatments (7 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.

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