Alexandre H. Thiéry

59 papers receiving 1.7k citations

Peers

Alexandre H. Thiéry
Comparison fields: 5 of 133
  • Ophthalmology 259
  • Statistics and Probability 210
  • Radiology, Nuclear Medicine and Imaging 304
  • Cancer Research 188
  • Artificial Intelligence 337
Replace Hwee Kuan Lee with:
Hwee Kuan Lee Singapore
Guy Wolf Canada
Dongxiao Zhu United States
Kevin R. Moon United States
Sach Mukherjee United Kingdom
Bernard Fertil France
Sebastian Pölsterl Germany
Miao Liao China
David Simcha United States
Stephanie A. Harmon United States
Alexandre H. Thiéry relative to Hwee Kuan Lee Singapore Hwee Kuan Lee's profile →
Citations per field
00.5×5×10×16.2×
Hwee Kuan Lee · 1×
Citations per year

Countries citing papers authored by Alexandre H. Thiéry

Since Specialization
Citations

This map shows the geographic impact of Alexandre H. Thiéry'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 Alexandre H. Thiéry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre H. Thiéry more than expected).

Fields of papers citing papers by Alexandre H. Thiéry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexandre H. Thiéry. 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 Alexandre H. Thiéry. The network helps show where Alexandre H. Thiéry may publish in the future.

Co-authors

The 25 scholars most cited alongside Alexandre H. Thiéry, 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 Alexandre H. Thiéry Line = papers co-authored together Alexandre H. Thiéry links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021219
2 2022178
3 2018163
4 201493
5 202078
6 201975
7 201668
8 202267
9 201866
10 201665
11 201254
12 202147
13 201644
14 202044
15 202537
16 202132
17 202031
18 202128
19 202228
20 202328

About Alexandre H. Thiéry

Alexandre H. Thiéry is a scholar working on Ophthalmology, Statistics and Probability, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 1.7k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (16 papers), Glaucoma and retinal disorders (14 papers), Markov Chains and Monte Carlo Methods (11 papers), Optical Coherence Tomography Applications (8 papers), Statistical Methods and Inference (7 papers), Bayesian Methods and Mixture Models (6 papers), Gaussian Processes and Bayesian Inference (5 papers) and Handwritten Text Recognition Techniques (3 papers). The work is most often cited by research in Ophthalmology (259 citations), Statistics and Probability (210 citations), Radiology, Nuclear Medicine and Imaging (304 citations), Cancer Research (188 citations) and Artificial Intelligence (337 citations). Alexandre H. Thiéry has collaborated with scholars based in Singapore, United Kingdom and Switzerland. Frequent co-authors include Michaël J. A. Girard, Yuk Kei Wan, W.S. Sho Goh, Jonathan Göke, Ploy N. Pratanwanich, Christopher Hendra, Sripad Krishna Devalla, Tin Aung, Tin A. Tun and Hadrien Verbois. Their work appears in journals such as Investigative Ophthalmology & Visual Science, American Journal of Ophthalmology, Translational Vision Science & Technology, The Annals of Statistics and Biomedical Optics Express.

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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