Christopher Bowd

11.3k total citations · 2 hit papers
218 papers, 8.5k citations indexed

About

Christopher Bowd is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Christopher Bowd has authored 218 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 190 papers in Ophthalmology, 184 papers in Radiology, Nuclear Medicine and Imaging and 24 papers in Biomedical Engineering. Recurrent topics in Christopher Bowd's work include Glaucoma and retinal disorders (189 papers), Retinal Imaging and Analysis (149 papers) and Retinal Diseases and Treatments (114 papers). Christopher Bowd is often cited by papers focused on Glaucoma and retinal disorders (189 papers), Retinal Imaging and Analysis (149 papers) and Retinal Diseases and Treatments (114 papers). Christopher Bowd collaborates with scholars based in United States, Germany and Brazil. Christopher Bowd's co-authors include Linda M. Zangwill, Robert N. Weinreb, Felipe A. Medeiros, Pamela A. Sample, Michael H. Goldbaum, Akram Belghith, Christopher A. Girkin, Jeffrey M. Liebmann, Gianmarco Vizzeri and Remo Susanna and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Christopher Bowd

212 papers receiving 8.3k citations

Hit Papers

Evaluation of retinal nerve fiber layer, optic nerve head... 2005 2026 2012 2019 2005 2018 100 200 300 400 500
What are hit papers?

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.

  1. Evaluation of retinal nerve fiber layer, optic nerve head, and macular thickness measurements for glaucoma detection using optical coherence tomography
    2005 534 citations Linda M. Zangwill, Christopher Bowd et al. American Journal of Ophthalmology profile →
  2. Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
    2018 224 citations Mark Christopher, Akram Belghith et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Bowd United States 53 7.9k 6.5k 1.4k 613 371 218 8.5k
Gadi Wollstein United States 50 7.9k 1.0× 6.3k 1.0× 2.9k 2.1× 734 1.2× 300 0.8× 245 9.1k
Pamela A. Sample United States 57 8.3k 1.0× 6.3k 1.0× 785 0.6× 907 1.5× 139 0.4× 158 8.7k
Hans G. Lemij Netherlands 35 3.2k 0.4× 2.7k 0.4× 664 0.5× 311 0.5× 197 0.5× 141 4.1k
Mani Baskaran Singapore 45 5.6k 0.7× 4.9k 0.8× 721 0.5× 352 0.6× 278 0.7× 225 6.3k
David F. Garway‐Heath United Kingdom 53 9.1k 1.1× 6.9k 1.1× 656 0.5× 801 1.3× 146 0.4× 249 10.1k
Aiko Iwase Japan 38 5.5k 0.7× 4.3k 0.7× 237 0.2× 371 0.6× 113 0.3× 135 5.9k
Mona K. Garvin United States 33 4.2k 0.5× 4.1k 0.6× 1.3k 0.9× 409 0.7× 949 2.6× 130 5.3k
Shamira Perera Singapore 32 2.9k 0.4× 2.4k 0.4× 434 0.3× 189 0.3× 92 0.2× 159 3.3k
Delia Cabrera DeBuc United States 26 1.6k 0.2× 1.6k 0.2× 575 0.4× 211 0.3× 150 0.4× 113 2.2k
Michael D. Twa United States 35 1.7k 0.2× 2.7k 0.4× 1.1k 0.8× 144 0.2× 94 0.3× 131 3.3k

Countries citing papers authored by Christopher Bowd

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Bowd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Bowd

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Bowd. A scholar is included among the top collaborators of Christopher Bowd 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 Christopher Bowd. Christopher Bowd 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.
Walker, Evan Harris, Christopher Bowd, Akram Belghith, et al.. (2025). Performance of General-Purpose Vision Language Models and Ophthalmology Foundation Models in Glaucoma Detection and Function Prediction. Translational Vision Science & Technology. 14(11). 31–31.
2.
Bowd, Christopher, Akram Belghith, Michael H. Goldbaum, et al.. (2025). Deep Learning Approach Predicts Longitudinal Retinal Nerve Fiber Layer Thickness Changes. Bioengineering. 12(2). 139–139.
3.
Bowd, Christopher, Jasmin Rezapour, Akram Belghith, et al.. (2024). Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma Detection. Translational Vision Science & Technology. 13(1). 23–23. 8 indexed citations
4.
Rezapour, Jasmin, Akram Belghith, Christopher Bowd, et al.. (2024). Diagnostic Accuracy of Optic Nerve Head and Macula OCT Parameters for Detecting Glaucoma in Eyes With and Without High Axial Myopia. American Journal of Ophthalmology. 266. 77–91. 5 indexed citations
5.
Bowd, Christopher, Akram Belghith, Jasmin Rezapour, et al.. (2024). Wide-Field Optical Coherence Tomography Imaging Improves Rate of Change Detection in Progressing Glaucomatous Eyes Compared With Standard-Field Imaging. Investigative Ophthalmology & Visual Science. 65(8). 18–18.
6.
Christopher, Mark, Rubèn González, Bharanidharan Radha Saseendrakumar, et al.. (2024). Proactive Decision Support for Glaucoma Treatment: Predicting Surgical Interventions with Clinically Available Data. Bioengineering. 11(2). 140–140. 7 indexed citations
7.
Micheletti, Eleonora, Nevin W. El-Nimri, Takashi Nishida, et al.. (2023). Central visual field damage in glaucoma eyes with choroidal microvasculature dropout with and without high axial myopia. British Journal of Ophthalmology. 108(3). 372–379. 8 indexed citations
8.
Zangwill, Linda M., James A. Proudfoot, Christopher A. Girkin, et al.. (2023). Racial Differences in Diagnostic Accuracy of Retinal Nerve Fiber Layer Thickness in Primary Open-Angle Glaucoma. American Journal of Ophthalmology. 259. 7–14. 1 indexed citations
9.
Christopher, Mark, James A. Proudfoot, Christopher Bowd, et al.. (2022). A Deep Learning Approach to Improve Retinal Structural Predictions and Aid Glaucoma Neuroprotective Clinical Trial Design. Ophthalmology Glaucoma. 6(2). 147–159. 11 indexed citations
10.
Rezapour, Jasmin, Christopher Bowd, Akram Belghith, et al.. (2022). Macula structural and vascular differences in glaucoma eyes with and without high axial myopia. British Journal of Ophthalmology. 107(9). 1286–1294. 15 indexed citations
11.
Rezapour, Jasmin, James A. Proudfoot, Christopher Bowd, et al.. (2021). Bruch Membrane Opening Detection Accuracy in Healthy Eyes and Eyes With Glaucoma With and Without Axial High Myopia in an American and Korean Cohort. American Journal of Ophthalmology. 237. 221–234. 17 indexed citations
12.
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
13.
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
14.
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
15.
Moghimi, Sasan, Linda M. Zangwill, Huiyuan Hou, et al.. (2019). Association of superficial and deep macula vessel density with past visual field progression in glaucoma. Investigative Ophthalmology & Visual Science. 60(9). 3038–3038. 1 indexed citations
16.
Moghimi, Sasan, Linda M. Zangwill, Rafaella C. Penteado, et al.. (2018). Macular and Optic Nerve Head Vessel Density and Progressive Retinal Nerve Fiber Layer Loss in Glaucoma. Ophthalmology. 125(11). 1720–1728. 119 indexed citations
17.
Balasubramanian, M., et al.. (2010). Detecting Glaucomatous Changes Using Only One Optic Nerve Head Scan Per Exam. Investigative Ophthalmology & Visual Science. 51(13). 2723–2723. 2 indexed citations
18.
Jang, Gil‐Jin, Tzyy‐Ping Jung, Christopher Bowd, et al.. (2009). Unsupervised Machine Learning With Independent Component Analysis Identifies Patterns of Glaucomatous Visual Field Loss in SITA Fields. Investigative Ophthalmology & Visual Science. 50(13). 5283–5283. 1 indexed citations
19.
Medeiros, F. A., Christopher Bowd, Pamela A. Sample, et al.. (2004). Predicting Early Glaucomatous Visual Field Loss Using the Heidelberg Retina Tomograph. Investigative Ophthalmology & Visual Science. 45(13). 3305–3305. 1 indexed citations
20.
Medeiros, F. A., Pamela A. Sample, Linda M. Zangwill, Christopher Bowd, & Robert N. Weinreb. (2003). Corneal Thickness as a Risk Factor for Visual field Loss in Patients with Glaucomatous Optic Neuropathy. Investigative Ophthalmology & Visual Science. 44(13). 1043–1043.

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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