Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Retinal image analysis: Concepts, applications and potential
2005454 citationsNiall Patton, Tariq Aslam et al.Progress in Retinal and Eye Researchprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Yogesan Kanagasingam
Since
Specialization
Citations
This map shows the geographic impact of Yogesan Kanagasingam'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 Yogesan Kanagasingam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yogesan Kanagasingam more than expected).
Fields of papers citing papers by Yogesan Kanagasingam
This network shows the impact of papers produced by Yogesan Kanagasingam. 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 Yogesan Kanagasingam. The network helps show where Yogesan Kanagasingam may publish in the future.
Co-authorship network of co-authors of Yogesan Kanagasingam
This figure shows the co-authorship network connecting the top 25 collaborators of Yogesan Kanagasingam.
A scholar is included among the top collaborators of Yogesan Kanagasingam based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Yogesan Kanagasingam. Yogesan Kanagasingam is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Raman, Rajiv, et al.. (2020). Assessment of vessel parameters as a micro vascular biomarker using a Retinal Vessel Analysis System (VASP). Investigative Ophthalmology & Visual Science. 61(7). 496–496.1 indexed citations
Saha, Sajib, Di Xiao, Basura Fernando, et al.. (2017). Deep Learning Based Decision Support System for Automated Diagnosis of Age-related Macular Degeneration (AMD). Investigative Ophthalmology & Visual Science. 58(8). 25–25.6 indexed citations
9.
Chen, Tingting, Ling Jin, Jun Wang, et al.. (2017). A Mobile Phone Message Reminder to Improve Adherence of Diabetic Patients for Scheduled Eye Care in Rural China: A Randomized Clinical Trial. Investigative Ophthalmology & Visual Science. 58(8). 2896–2896.1 indexed citations
Eikelboom, Robert H., et al.. (2000). Compression of images of the cornea and retina for telemedicine. UWA Profiles and Research Repository (University of Western Australia). 6(1). 30–37.1 indexed citations
Kanagasingam, Yogesan, Ian J. Constable, Robert H. Eikelboom, & Paul P. van Saarloos. (1998). Tele‐ophthalmic screening using digital imaging devices. Australian and New Zealand Journal of Ophthalmology. 26(S1). S9–11.31 indexed citations
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.