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.
Optical Coherence Tomography Angiography Vessel Density in Healthy, Glaucoma Suspect, and Glaucoma Eyes
2016391 citationsAdeleh Yarmohammadi, Linda M. Zangwill et al.Investigative Ophthalmology & Visual Scienceprofile →
Relationship between Optical Coherence Tomography Angiography Vessel Density and Severity of Visual Field Loss in Glaucoma
2016328 citationsAdeleh Yarmohammadi, Linda M. Zangwill et al.Ophthalmologyprofile →
Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
2018224 citationsMark Christopher, Akram Belghith et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Akram Belghith
Since
Specialization
Citations
This map shows the geographic impact of Akram Belghith'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 Akram Belghith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akram Belghith more than expected).
This network shows the impact of papers produced by Akram Belghith. 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 Akram Belghith. The network helps show where Akram Belghith may publish in the future.
Co-authorship network of co-authors of Akram Belghith
This figure shows the co-authorship network connecting the top 25 collaborators of Akram Belghith.
A scholar is included among the top collaborators of Akram Belghith 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 Akram Belghith. Akram Belghith is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Christopher, Mark, Christopher Bowd, James A. Proudfoot, et al.. (2021). Performance of Deep Learning Models to Detect Glaucoma Using Unsegmented Radial and Circle OCT Scans of the Optic Nerve Head. Investigative Ophthalmology & Visual Science. 62(8). 1014–1014.1 indexed citations
14.
Rezapour, Jasmin, Christopher Bowd, Akram Belghith, et al.. (2021). Macular thickness and vessel density in glaucoma eyes with and without high axial myopia. Investigative Ophthalmology & Visual Science. 62(8). 2431–2431.1 indexed citations
15.
Christopher, Mark, Christopher Bowd, Akram Belghith, et al.. (2020). Deep Learning Models Based on Unsegmented OCT RNFL Circle Scans Provide Accurate Detection of Glaucoma and High Resolution Prediction of Visual Field Damage. Investigative Ophthalmology & Visual Science. 61(7). 1439–1439.2 indexed citations
16.
Yarmohammadi, Adeleh, Linda M. Zangwill, Alberto Diniz‐Filho, et al.. (2016). OCT Angiography Vessel Density in Normal, Glaucoma Suspects and Glaucoma Eyes: Structural and Functional Associations in the Diagnostic Innovations in Glaucoma Study (DIGS). Investigative Ophthalmology & Visual Science. 57(12). 2958–2958.5 indexed citations
17.
Hammel, Naama, Akram Belghith, Felipe A. Medeiros, et al.. (2016). Diagnostic Innovations in Glaucoma Study (DIGS): Comparing the Rates of Macular Ganglion Cell layer loss in Healthy, non-progressing Glaucoma and progressing glaucoma Eyes. Investigative Ophthalmology & Visual Science. 57(12). 373–373.2 indexed citations
18.
Belghith, Akram, Siamak Yousefi, Jameson Merkow, et al.. (2016). Diabetic retinopathy detection from image to classification using deep convolutional neural network. Investigative Ophthalmology & Visual Science. 57(12). 5961–5961.3 indexed citations
Hammel, Naama, Akram Belghith, Felipe A. Medeiros, et al.. (2015). Diagnostic Innovations in Glaucoma Study (DIGS): Comparing the Rates of Peripapillary Retinal Nerve Fiber layer and Ganglion Cell-Inner Plexiform Layer Loss in Healthy and Glaucoma Eyes. Investigative Ophthalmology & Visual Science. 56(7). 4568–4568.1 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.