Renaud Duval

1.5k total citations · 1 hit paper
42 papers, 870 citations indexed

About

Renaud Duval is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Neurology. According to data from OpenAlex, Renaud Duval has authored 42 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Ophthalmology and 7 papers in Neurology. Recurrent topics in Renaud Duval's work include Retinal Imaging and Analysis (20 papers), Retinal and Macular Surgery (10 papers) and Retinal Diseases and Treatments (9 papers). Renaud Duval is often cited by papers focused on Retinal Imaging and Analysis (20 papers), Retinal and Macular Surgery (10 papers) and Retinal Diseases and Treatments (9 papers). Renaud Duval collaborates with scholars based in Canada, United States and United Kingdom. Renaud Duval's co-authors include Fares Antaki, Samir Touma, Daniel Milad, Jonathan El‐Khoury, Farida Chériet, Marie Carole Boucher, Ridha Joober, Marie‐Ève Fortier, Natalie Grizenko and Norbert Schmitz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Medical Imaging.

In The Last Decade

Renaud Duval

40 papers receiving 845 citations

Hit Papers

Evaluating the Performance of ChatGPT in Ophthalmology 2023 2026 2024 2025 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renaud Duval Canada 14 535 351 309 130 78 42 870
Michele Birch United States 4 618 1.2× 212 0.6× 465 1.5× 145 1.1× 91 1.2× 5 984
Daniel Milad Canada 8 272 0.5× 339 1.0× 99 0.3× 95 0.7× 37 0.5× 32 511
Janardhan Vignarajan Australia 15 419 0.8× 54 0.2× 319 1.0× 53 0.4× 113 1.4× 35 836
Sylvia L. Groth United States 15 249 0.5× 100 0.3× 401 1.3× 35 0.3× 63 0.8× 57 637
Michelle E. Tarver United States 14 450 0.8× 96 0.3× 469 1.5× 30 0.2× 171 2.2× 56 922
Kadircan H. Keskinbora Türkiye 12 147 0.3× 113 0.3× 110 0.4× 41 0.3× 84 1.1× 40 629
Zhi Wei Lim Singapore 8 208 0.4× 173 0.5× 118 0.4× 75 0.6× 20 0.3× 13 357
Malvina Eydelman United States 15 403 0.8× 96 0.3× 448 1.4× 29 0.2× 166 2.1× 44 734
Kicky G. van Leeuwen Netherlands 11 611 1.1× 359 1.0× 4 0.0× 196 1.5× 29 0.4× 18 1.0k
Omer Liran United States 9 210 0.4× 488 1.4× 7 0.0× 204 1.6× 51 0.7× 18 722

Countries citing papers authored by Renaud Duval

Since Specialization
Citations

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

Fields of papers citing papers by Renaud Duval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renaud Duval

This figure shows the co-authorship network connecting the top 25 collaborators of Renaud Duval. A scholar is included among the top collaborators of Renaud Duval 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 Renaud Duval. Renaud Duval 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.
Milad, Daniel, Fares Antaki, Jonathan El‐Khoury, et al.. (2025). Code-Free Deep Learning Glaucoma Detection on Color Fundus Images. Ophthalmology Science. 5(4). 100721–100721. 1 indexed citations
2.
Mihalache, Andrew, Daniel Milad, Fares Antaki, et al.. (2025). Performance of DeepSeek-R1 in ophthalmology: an evaluation of clinical decision-making and cost-effectiveness. British Journal of Ophthalmology. 109(9). 976–981. 8 indexed citations
3.
Mihalache, Andrew, Daniel Milad, Marko M. Popovic, et al.. (2025). Performance of Artificial Intelligence-Based Models for Epiretinal Membrane Diagnosis: A Systematic Review and Meta-Analysis. American Journal of Ophthalmology. 277. 420–432.
4.
Milad, Daniel, et al.. (2024). The Role of Artificial Intelligence in Epiretinal Membrane Care: A Scoping Review. Ophthalmology Science. 5(4). 100689–100689. 4 indexed citations
5.
Antaki, Fares, Samir Touma, Daniel Milad, Jonathan El‐Khoury, & Renaud Duval. (2023). Evaluating the Performance of ChatGPT in Ophthalmology. SHILAP Revista de lepidopterología. 3(4). 100324–100324. 306 indexed citations breakdown →
6.
Antaki, Fares, et al.. (2023). MBT: Model-Based Transformer for retinal optical coherence tomography image and video multi-classification. International Journal of Medical Informatics. 178. 105178–105178. 6 indexed citations
7.
Duval, Renaud, et al.. (2022). Focused Attention in Transformers for interpretable classification of retinal images. Medical Image Analysis. 82. 102608–102608. 50 indexed citations
8.
Szigiato, Andrei-Alexandru, Fares Antaki, Samir Touma, et al.. (2022). Risk factors for epiretinal membrane formation and peeling following pars plana vitrectomy for primary rhegmatogenous retinal detachment, an OCT guided analysis. International Journal of Retina and Vitreous. 8(1). 70–70. 5 indexed citations
9.
Touma, Samir, Fares Antaki, & Renaud Duval. (2022). Development of a code-free machine learning model for the classification of cataract surgery phases. Scientific Reports. 12(1). 2398–2398. 30 indexed citations
10.
Antaki, Fares, et al.. (2021). Accuracy of automated machine learning in classifying retinal pathologies from ultra-widefield pseudocolour fundus images. British Journal of Ophthalmology. 107(1). 90–95. 40 indexed citations
11.
Szigiato, Andrei-Alexandru, Javier Mazzaferri, Denise Descovich, et al.. (2020). Correlation of ocular rigidity with intraocular pressure spike after intravitreal injection of bevacizumab in exudative retinal disease. British Journal of Ophthalmology. 105(3). 392–396. 7 indexed citations
12.
Antaki, Fares, et al.. (2020). Predictive modeling of proliferative vitreoretinopathy using automated machine learning by ophthalmologists without coding experience. Scientific Reports. 10(1). 19528–19528. 23 indexed citations
13.
Lesk, Mark R., et al.. (2019). Intraocular Pressure Spikes Following Therapeutic Intravitreal Injections are Correlated with Ocular Rigidity. Investigative Ophthalmology & Visual Science. 60(9). 2249–2249. 2 indexed citations
14.
Ajlan, Radwan, et al.. (2017). Primary rhegmatogenous retinal detachment with inferior retinal breaks postoperative prone positioning results: 1 day versus 7 days. International Journal of Retina and Vitreous. 3(1). 47–47. 11 indexed citations
15.
Duval, Renaud & Pauline T. Merrill. (2015). SPOTTED FEVER GROUP RICKETTSIA RETINITIS IN A TRAVELER TO AFRICA. Retinal Cases & Brief Reports. 10(1). 89–92. 5 indexed citations
16.
17.
Duval, Renaud, et al.. (2013). RATE OF SCLEROTOMY SUTURING IN 23-GAUGE PRIMARY VITRECTOMY. Retina. 34(4). 679–683. 13 indexed citations
18.
Duval, Renaud, et al.. (2013). FACTORS ASSOCIATED WITH OUTCOMES OF PNEUMATIC RETINOPEXY FOR RHEGMATOGENOUS RETINAL DETACHMENTS. Retina. 34(4). 693–699. 20 indexed citations
19.
Duval, Renaud & Sébastien Olivier. (2010). INTRAVITREAL BEVACIZUMAB (AVASTIN) FOR CHOROIDAL NEOVASCULARIZATION ASSOCIATED WITH DEFEROXAMINE RETINOPATHY. Retinal Cases & Brief Reports. 5(3). 233–236. 2 indexed citations
20.
Hamid, Mohammad, Sami P. Moubayed, Renaud Duval, et al.. (2009). Recurrent anterior uveitis after trabeculectomy with mitomycin C. Canadian Journal of Ophthalmology. 44(6). 697–699. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026