David Usher

981 citations
12 papers · 825 · h-index 7

Impact in

Papers in

David Usher

12 papers receiving 725 citations

Peers

David Usher
Comparison fields: 5 of 61
  • Ophthalmology 504
  • Radiology, Nuclear Medicine and Imaging 672
  • Computer Vision and Pattern Recognition 342
  • Health Information Management 66
  • Signal Processing 54
Replace Xinting Gao with:
Xinting Gao Singapore
Thomas Hurtut Canada
Pakinee Aimmanee Thailand
Siti Raihanah Abdani Malaysia
Thitiporn Chanwimaluang Thailand
Bashir Al-Diri United Kingdom
Ronan Danno France
Amina Jameel Pakistan
Ramon Pires Brazil
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Citations per field
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Citations per year

Countries citing papers authored by David Usher

Since Specialization
Citations

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

Fields of papers citing papers by David Usher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside David Usher, 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 David Usher Line = papers co-authored together David Usher links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2002437
2 2003250
3 200252
4 200834
5 200718
6 200814
7 201211
8
Accurate Retinal Blood Vessel Segmentation by Using Multi-Resolution Matched Filtering and Directional Region Growing
20043
9
Retinal blood vessel extraction by using multi-resolution matched filtering and directional region growing segmentation
20023
10
Impact of Eye Motion and Active vs. Passive Eye Tracking on Refractive Crosslinking
20191
11
Topographically Guided Corneal Cross-Linking
20131
12
The automated diagnosis of diabetic retinopathy.
20011

About David Usher

David Usher is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Signal Processing, Information Systems and Health Information Management, having authored 12 papers that have together received 825 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (6 papers), Biometric Identification and Security (3 papers), User Authentication and Security Systems (3 papers), Glaucoma and retinal disorders (2 papers), Corneal surgery and disorders (2 papers), Corneal Surgery and Treatments (1 paper), Artificial Intelligence in Healthcare (1 paper) and Remote Sensing in Agriculture (1 paper). The work is most often cited by research in Ophthalmology (504 citations), Radiology, Nuclear Medicine and Imaging (672 citations), Computer Vision and Pattern Recognition (342 citations), Health Information Management (66 citations) and Signal Processing (54 citations). David Usher has collaborated with scholars based in United Kingdom, Slovakia and United States. Frequent co-authors include James F Boyce, Tom H. Williamson, Ebenezer Kojo Gyesi Mensah, Sadhna Bhasin Lal, Chanjira Sinthanayothin, Helen Cook, Stephen Nussey, Alistair M. S. Smith, Martin J. Wooster and Annie K. Powell. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Diabetic Medicine, International Journal of Remote Sensing, Journal of Ophthalmology and IEICE Transactions on Information and Systems.

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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