David Usher

978 citations
11 papers · 719 · h-index 6

Impact in

Papers in

David Usher

11 papers receiving 621 citations

Peers

David Usher
Comparison fields: 5 of 62
  • Ophthalmology 503
  • Radiology, Nuclear Medicine and Imaging 609
  • Computer Vision and Pattern Recognition 295
  • Health Information Management 58
  • Signal Processing 33
Replace João V. B. Soares with:
João V. B. Soares United States
Thitiporn Chanwimaluang Thailand
Siti Raihanah Abdani Malaysia
Xinting Gao Singapore
Pakinee Aimmanee Thailand
Ronan Danno France
Thomas Hurtut Canada
Ramon Pires Brazil
Rubina Sarki Australia
Agata Mosinska Switzerland
David Usher relative to João V. B. Soares United States João V. B. Soares's profile →
Citations per field
00.5×1.5×2.4×
João V. B. Soares · 1×
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 19 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

11 of 11 papers shown
#Work
1 2002386
2 2003222
3 200249
4 200829
5 200813
6 201211
7
Retinal blood vessel extraction by using multi-resolution matched filtering and directional region growing segmentation
20023
8
Accurate Retinal Blood Vessel Segmentation by Using Multi-Resolution Matched Filtering and Directional Region Growing
20043
9
The automated diagnosis of diabetic retinopathy.
20011
10
Topographically Guided Corneal Cross-Linking
20131
11
Impact of Eye Motion and Active vs. Passive Eye Tracking on Refractive Crosslinking
20191

About David Usher

David Usher is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 11 papers that have together received 719 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (5 papers), Glaucoma and retinal disorders (4 papers), Retinal Diseases and Treatments (3 papers), Corneal surgery and disorders (2 papers), Biometric Identification and Security (2 papers), User Authentication and Security Systems (2 papers), Remote-Sensing Image Classification (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Ophthalmology (503 citations), Radiology, Nuclear Medicine and Imaging (609 citations), Computer Vision and Pattern Recognition (295 citations), Health Information Management (58 citations) and Signal Processing (33 citations). David Usher has collaborated with scholars based in United Kingdom, Slovakia and Canada. Frequent co-authors include J.F. Boyce, Tom H. Williamson, Ebenezer Kojo Gyesi Mensah, Helen Cook, Sadhna Lal, Chanjira Sinthanayothin, 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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