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.
IMI—The Dynamic Choroid: New Insights, Challenges, and Potential Significance for Human Myopia
202390 citationsScott A. Read, David Alonso‐Caneiro et al.Investigative Ophthalmology & Visual Scienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by David Alonso‐Caneiro
Since
Specialization
Citations
This map shows the geographic impact of David Alonso‐Caneiro'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 Alonso‐Caneiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Alonso‐Caneiro more than expected).
Fields of papers citing papers by David Alonso‐Caneiro
This network shows the impact of papers produced by David Alonso‐Caneiro. 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 Alonso‐Caneiro. The network helps show where David Alonso‐Caneiro may publish in the future.
Co-authorship network of co-authors of David Alonso‐Caneiro
This figure shows the co-authorship network connecting the top 25 collaborators of David Alonso‐Caneiro.
A scholar is included among the top collaborators of David Alonso‐Caneiro 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 David Alonso‐Caneiro. David Alonso‐Caneiro is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kalloniatis, Michael, et al.. (2020). Development of a High-Density Spatially Localized Model of the Human Retina. Investigative Ophthalmology & Visual Science. 61(7). 497–497.3 indexed citations
14.
Alonso‐Caneiro, David, et al.. (2018). Automatic segmentation of retinal and choroidal thickness in OCT images using convolutional neural networks. Investigative Ophthalmology & Visual Science. 59(9). 1732–1732.1 indexed citations
15.
Alonso‐Caneiro, David, Scott A. Read, Stephen J. Vincent, & Michael J. Collins. (2017). Binarization of choroidal tissue in optical coherence tomography. QUT ePrints (Queensland University of Technology).1 indexed citations
Read, Scott A., et al.. (2016). Response of the anterior sclera to accommodation in myopes and emmetropes. QUT ePrints (Queensland University of Technology).1 indexed citations
18.
Read, Scott A., David Alonso‐Caneiro, Stephen J. Vincent, & Michael J. Collins. (2015). Longitudinal changes in choroidal thickness in childhood. Investigative Ophthalmology & Visual Science. 56(7). 2964–2964.1 indexed citations
19.
Alonso‐Caneiro, David, Scott A. Read, & Michael J. Collins. (2013). Use of super-resolution image reconstruction techniques in optical coherence tomography. Investigative Ophthalmology & Visual Science. 54(15). 5536–5536.1 indexed citations
20.
Alonso‐Caneiro, David, et al.. (2010). Lateral shearing interferometry, dynamic wavefront sensing, and high-speed videokeratoscopy for noninvasive assessment of tear film surface characteristics : a comparitive study. Faculty of Health; Institute of Health and Biomedical Innovation.1 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.