William Paul

1.0k total citations
17 papers, 402 citations indexed

About

William Paul is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, William Paul has authored 17 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Ophthalmology. Recurrent topics in William Paul's work include Retinal Imaging and Analysis (5 papers), Retinal Diseases and Treatments (3 papers) and Robot Manipulation and Learning (2 papers). William Paul is often cited by papers focused on Retinal Imaging and Analysis (5 papers), Retinal Diseases and Treatments (3 papers) and Robot Manipulation and Learning (2 papers). William Paul collaborates with scholars based in United States, Thailand and Canada. William Paul's co-authors include Philippe Burlina, Neil M. Bressler, Neil Joshi, Kátia D. Pacheco, Jon Lewis, T. Y. Alvin Liu, Alexey Tumanov, Ion Stoica, Robert Nishihara and Philipp Moritz and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security, JAMA Network Open and Computers in Biology and Medicine.

In The Last Decade

William Paul

16 papers receiving 357 citations

Peers

William Paul
Laura Vardoulakis United States
Jon Rueda Spain
Maia Jacobs United States
Kay Li Canada
Amanda Neitzel United States
Helen Smith United Kingdom
Caio C. Vieira Machado United Kingdom
Laura Vardoulakis United States
William Paul
Citations per year, relative to William Paul William Paul (= 1×) peers Laura Vardoulakis

Countries citing papers authored by William Paul

Since Specialization
Citations

This map shows the geographic impact of William Paul'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 William Paul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Paul more than expected).

Fields of papers citing papers by William Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Paul. 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 William Paul. The network helps show where William Paul may publish in the future.

Co-authorship network of co-authors of William Paul

This figure shows the co-authorship network connecting the top 25 collaborators of William Paul. A scholar is included among the top collaborators of William Paul 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 William Paul. William Paul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Zhou, Ashley, William Paul, Philippe Burlina, et al.. (2025). Estimating Visual Acuity With Spectacle Correction From Fundus Photos Using Artificial Intelligence. JAMA Network Open. 8(1). e2453770–e2453770. 2 indexed citations
2.
Paul, William, et al.. (2023). Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures. IEEE Transactions on Information Forensics and Security. 19. 1630–1645. 2 indexed citations
3.
Paul, William, Philippe Burlina, Neil Joshi, et al.. (2023). Accuracy of Artificial Intelligence in Estimating Best-Corrected Visual Acuity From Fundus Photographs in Eyes With Diabetic Macular Edema. JAMA Ophthalmology. 141(7). 677–677. 11 indexed citations
4.
Paul, William, et al.. (2022). Rényi Fair Information Bottleneck for Image Classification. 11–15. 2 indexed citations
5.
Burlina, Philippe, Neil Joshi, William Paul, Kátia D. Pacheco, & Neil M. Bressler. (2021). Addressing Artificial Intelligence Bias in Retinal Diagnostics. Translational Vision Science & Technology. 10(2). 13–13. 76 indexed citations
6.
Burlina, Philippe, William Paul, T. Y. Alvin Liu, & Neil M. Bressler. (2021). Detecting Anomalies in Retinal Diseases Using Generative, Discriminative, and Self-supervised Deep Learning. JAMA Ophthalmology. 140(2). 185–185. 18 indexed citations
7.
Paul, William, I-Jeng Wang, Fady Alajaji, & Philippe Burlina. (2020). Unsupervised Semantic Attribute Discovery and Control in Generative Models.. arXiv (Cornell University). 2 indexed citations
8.
Burlina, Philippe, et al.. (2020). AI-based detection of erythema migrans and disambiguation against other skin lesions. Computers in Biology and Medicine. 125. 103977–103977. 17 indexed citations
10.
Fox, Roy, Richard Shin, William Paul, et al.. (2018). Hierarchical Imitation Learning via Variational Inference of Control Programs. 1 indexed citations
11.
Nishihara, Robert, Philipp Moritz, Stephanie Wang, et al.. (2017). Real-Time Machine Learning. 106–110. 35 indexed citations
13.
Howard, Ayanna & William Paul. (2006). A 3D Virtual Environment for Exploratory Learning in Mobile Robot Control. SMARTech Repository (Georgia Institute of Technology). 1. 306–310. 4 indexed citations
14.
Paul, William. (2006). Icons of Grief: Val Lewton's Home Front Pictures. Journal of American History. 93(1). 272–273. 1 indexed citations
15.
Paul, William. (2004). Breaking the Fourth Wall: ?Belascoism?, Modernism, and a 3-DKiss Me Kate. Film History. 16(3). 229–242. 5 indexed citations
16.
Paul, William & Jon Lewis. (2002). Hollywood v. Hard Core: How the Struggle over Censorship Saved the Modern Film Industry. Journal of American History. 89(3). 1081–1081. 18 indexed citations
17.
Paul, William. (1982). Homosexuality: Social, Psychological, and Biological Issues. Andalas University Repository (Andalas University). 156 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.

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