Jason Kugelman

559 total citations
20 papers, 393 citations indexed

About

Jason Kugelman is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Ophthalmology. According to data from OpenAlex, Jason Kugelman has authored 20 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Biomedical Engineering and 8 papers in Ophthalmology. Recurrent topics in Jason Kugelman's work include Retinal Imaging and Analysis (17 papers), Optical Coherence Tomography Applications (11 papers) and Glaucoma and retinal disorders (5 papers). Jason Kugelman is often cited by papers focused on Retinal Imaging and Analysis (17 papers), Optical Coherence Tomography Applications (11 papers) and Glaucoma and retinal disorders (5 papers). Jason Kugelman collaborates with scholars based in Australia. Jason Kugelman's co-authors include David Alonso‐Caneiro, Michael J. Collins, Scott A. Read, Stephen J. Vincent, Fred K. Chen, Michael Kalloniatis, Janelle Tong, Cara MacNish, Mohammed Bennamoun and Yi Chen and has published in prestigious journals such as Scientific Reports, IEEE Access and British Journal of Ophthalmology.

In The Last Decade

Jason Kugelman

20 papers receiving 388 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jason Kugelman Australia 9 310 214 165 72 42 20 393
Pengxiao Zang United States 14 433 1.4× 353 1.6× 181 1.1× 64 0.9× 46 1.1× 22 532
Freerk G. Venhuizen Netherlands 7 425 1.4× 335 1.6× 159 1.0× 117 1.6× 23 0.5× 11 468
Eric Yuan United States 6 462 1.5× 389 1.8× 119 0.7× 82 1.1× 18 0.4× 9 528
Doug M. Baughman United States 2 402 1.3× 310 1.4× 86 0.5× 81 1.1× 37 0.9× 4 444
Risa Higashita China 12 266 0.9× 181 0.8× 71 0.4× 98 1.4× 45 1.1× 40 333
Huaying Hao China 7 252 0.8× 170 0.8× 93 0.6× 91 1.3× 31 0.7× 24 331
Hiroki Enno Japan 10 373 1.2× 342 1.6× 50 0.3× 47 0.7× 27 0.6× 12 482
Sajib Saha Australia 12 434 1.4× 287 1.3× 91 0.6× 161 2.2× 44 1.0× 58 603
Jianyang Xie China 11 379 1.2× 279 1.3× 96 0.6× 130 1.8× 44 1.0× 31 497

Countries citing papers authored by Jason Kugelman

Since Specialization
Citations

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

Fields of papers citing papers by Jason Kugelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Kugelman

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

All Works

20 of 20 papers shown
1.
Kugelman, Jason, David Alonso‐Caneiro, Scott A. Read, Stephen J. Vincent, & Michael J. Collins. (2024). Enhancing OCT patch-based segmentation with improved GAN data augmentation and semi-supervised learning. Neural Computing and Applications. 36(29). 18087–18105. 5 indexed citations
2.
Tong, Janelle, Jack Phu, David Alonso‐Caneiro, et al.. (2024). Exploring the relationship between 24‐2 visual field and widefield optical coherence tomography data across healthy, glaucoma suspect and glaucoma eyes. Ophthalmic and Physiological Optics. 44(7). 1484–1499. 1 indexed citations
3.
Saha, Sajib, et al.. (2023). Employing texture loss to denoise OCT images using generative adversarial networks. Biomedical Optics Express. 15(4). 2262–2262. 3 indexed citations
4.
Tong, Janelle, David Alonso‐Caneiro, Jason Kugelman, et al.. (2023). Characterisation of the normal human ganglion cell–inner plexiform layer using widefield optical coherence tomography. Ophthalmic and Physiological Optics. 44(2). 457–471. 2 indexed citations
5.
Kugelman, Jason, David Alonso‐Caneiro, Scott A. Read, Stephen J. Vincent, & Michael J. Collins. (2023). Enhanced OCT chorio-retinal segmentation in low-data settings with semi-supervised GAN augmentation using cross-localisation. Computer Vision and Image Understanding. 237. 103852–103852. 3 indexed citations
6.
Kugelman, Jason, David Alonso‐Caneiro, Scott A. Read, & Michael J. Collins. (2022). A review of generative adversarial network applications in optical coherence tomography image analysis. Journal of Optometry. 15. S1–S11. 10 indexed citations
7.
Kugelman, Jason, Scott A. Read, Stephen J. Vincent, et al.. (2022). A comparison of deep learning U-Net architectures for posterior segment OCT retinal layer segmentation. Scientific Reports. 12(1). 14888–14888. 50 indexed citations
8.
Kugelman, Jason, David Alonso‐Caneiro, Scott A. Read, Stephen J. Vincent, & Michael J. Collins. (2022). Semi-supervised learning with cross-localisation in shared GAN latent space for enhanced OCT data augmentation. 1–7. 1 indexed citations
9.
Charng, Jason, et al.. (2022). Deep learning: applications in retinal and optic nerve diseases. Clinical and Experimental Optometry. 106(5). 466–475. 4 indexed citations
10.
Kugelman, Jason, David Alonso‐Caneiro, Scott A. Read, et al.. (2021). Data augmentation for patch-based OCT chorio-retinal segmentation using generative adversarial networks. Neural Computing and Applications. 33(13). 7393–7408. 17 indexed citations
11.
Lingham, Gareth, Jason Kugelman, Jason Charng, et al.. (2021). Conjunctival ultraviolet autofluorescence area decreases with age and sunglasses use. British Journal of Ophthalmology. 107(5). 614–620. 7 indexed citations
12.
MacNish, Cara, et al.. (2021). Deep feature loss to denoise OCT images using deep neural networks. Journal of Biomedical Optics. 26(4). 23 indexed citations
13.
Kugelman, Jason, David Alonso‐Caneiro, Scott A. Read, Stephen J. Vincent, & Michael J. Collins. (2021). OCT chorio-retinal segmentation with adversarial loss. Griffith Research Online (Griffith University, Queensland, Australia). 2. 1–8. 2 indexed citations
14.
Alonso‐Caneiro, David, Jason Kugelman, Janelle Tong, et al.. (2021). Use of uncertainty quantification as a surrogate for layer segmentation error in Stargardt disease retinal OCT images. Griffith Research Online (Griffith University, Queensland, Australia). 1–8. 4 indexed citations
15.
Kugelman, Jason, et al.. (2020). Retinal Boundary Segmentation in Stargardt Disease Optical Coherence Tomography Images Using Automated Deep Learning. Translational Vision Science & Technology. 9(11). 12–12. 31 indexed citations
16.
Kugelman, Jason, David Alonso‐Caneiro, Scott A. Read, et al.. (2020). Effect of Altered OCT Image Quality on Deep Learning Boundary Segmentation. IEEE Access. 8. 43537–43553. 24 indexed citations
17.
Kugelman, Jason, David Alonso‐Caneiro, Scott A. Read, et al.. (2020). Dual image and mask synthesis with GANs for semantic segmentation in optical coherence tomography. Griffith Research Online (Griffith University, Queensland, Australia). 1–8. 3 indexed citations
18.
Kugelman, Jason, David Alonso‐Caneiro, Scott A. Read, et al.. (2019). Automatic choroidal segmentation in OCT images using supervised deep learning methods. Scientific Reports. 9(1). 13298–13298. 96 indexed citations
19.
Kugelman, Jason, David Alonso‐Caneiro, Scott A. Read, et al.. (2019). Constructing Synthetic Chorio-Retinal Patches using Generative Adversarial Networks. UWA Profiles and Research Repository (University of Western Australia). 1–8. 8 indexed citations
20.
Kugelman, Jason, David Alonso‐Caneiro, Scott A. Read, Stephen J. Vincent, & Michael J. Collins. (2018). Automatic segmentation of OCT retinal boundaries using recurrent neural networks and graph search. Biomedical Optics Express. 9(11). 5759–5759. 99 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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