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.
Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks
2017426 citationsPhilippe Burlina, Neil Joshi et al.JAMA Ophthalmologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of David Freund'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 Freund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Freund more than expected).
This network shows the impact of papers produced by David Freund. 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 Freund. The network helps show where David Freund may publish in the future.
Co-authorship network of co-authors of David Freund
This figure shows the co-authorship network connecting the top 25 collaborators of David Freund.
A scholar is included among the top collaborators of David Freund 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 Freund. David Freund is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Burlina, Philippe, Neil Joshi, Michael Pekala, et al.. (2017). Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks. JAMA Ophthalmology. 135(11). 1170–1170.426 indexed citations breakdown →
Pacheco, Kátia D., Yulia Wolfson, Philippe Burlina, et al.. (2016). Evaluation of automated drusen detection system for fundus photographs of patients with age-related macular degeneration. Investigative Ophthalmology & Visual Science. 57(12). 1611–1611.4 indexed citations
Freund, David, Philippe Burlina, & Neil M. Bressler. (2009). A Machine Learning Approach to the Detection of Intermediate Stage of Age-Related Macular Degeneration. Investigative Ophthalmology & Visual Science. 50(13). 243–243.1 indexed citations
9.
Freund, David, et al.. (2009). Comparison of kernel based PDF estimation methods. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7335. 733508–733508.3 indexed citations
Freund, David & David H. Sliney. (1999). Dependence of retinal model temperature calculations on beam shape and absorption coefficients. 8(4). 229–247.4 indexed citations
Freund, David, Russell L. McCally, Richard A. Farrell, et al.. (1995). Ultrastructure in anterior and posterior stroma of perfused human and rabbit corneas. Relation to transparency.. PubMed. 36(8). 1508–23.81 indexed citations
Freund, David, Russell L. McCally, & Richard A. Farrell. (1991). Light-scattering tests of structure in normal and swollen rabbit corneas. 12(2). 137–143.4 indexed citations
Freund, David. (1982). Upper and Lower Bounds to Two and Three-Electron Systems. PhDT.3 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.