Thomas Hurtut

788 citations
25 papers · 486 · h-index 10

Impact in

Papers in

Thomas Hurtut

23 papers receiving 462 citations

Peers

Thomas Hurtut
Comparison fields: 5 of 65
  • Ophthalmology 219
  • Computer Graphics and Computer-Aided Design 85
  • Radiology, Nuclear Medicine and Imaging 304
  • Computer Vision and Pattern Recognition 255
  • Health Information Management 38
Replace Yuming Jiang with:
Yuming Jiang China
G. Yang United States
Mohammad Eslami Iran
Sundaresh Ram United States
Yinghua Fu China
Minfeng Xu China
Yakun Chang China
Erik J. Bekkers Netherlands
Sima Sahu India
James M. Coggins United States
Thomas Hurtut relative to Yuming Jiang China Yuming Jiang's profile →
Citations per field
00.5×9.7×
Yuming Jiang · 1×
Citations per year

Countries citing papers authored by Thomas Hurtut

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Hurtut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Hurtut. 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 Thomas Hurtut. The network helps show where Thomas Hurtut may publish in the future.

Co-authors

The 16 scholars most cited alongside Thomas Hurtut, 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 Thomas Hurtut Line = papers co-authored together Thomas Hurtut links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015206
2 201651
3 200949
4 201323
5 201622
6 200821
7 201917
8 201416
9 201415
10 201413
11 20179
12 20118
13 20177
14 20207
15 20214
16 20214
17 20243
18 20123
19 20182
20 20172

About Thomas Hurtut

Thomas Hurtut is a scholar working on Computer Vision and Pattern Recognition, Ophthalmology, Radiology, Nuclear Medicine and Imaging, Computer Graphics and Computer-Aided Design and Computational Mechanics, having authored 25 papers that have together received 486 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (7 papers), Glaucoma and retinal disorders (6 papers), Computer Graphics and Visualization Techniques (6 papers), 3D Shape Modeling and Analysis (5 papers), Data Visualization and Analytics (4 papers), Retinal Diseases and Treatments (4 papers), Digital Imaging for Blood Diseases (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Ophthalmology (219 citations), Computer Graphics and Computer-Aided Design (85 citations), Radiology, Nuclear Medicine and Imaging (304 citations), Computer Vision and Pattern Recognition (255 citations) and Health Information Management (38 citations). Thomas Hurtut has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Farida Chériet, J. M. Pierre Langlois, Lama Séoud, Joëlle Thollot, Bruno Galerne, Romain Vergne, Francis Schmitt, Yann Gousseau, Yann Gousseau and Julien Rabin. Their work appears in journals such as Information Visualization, Computer Graphics Forum, Computerized Medical Imaging and Graphics, ACM Transactions on Graphics and Computers & Graphics.

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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