Samir Touma

817 total citations · 1 hit paper
14 papers, 456 citations indexed

About

Samir Touma is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Family Practice. According to data from OpenAlex, Samir Touma has authored 14 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ophthalmology, 7 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Family Practice. Recurrent topics in Samir Touma's work include Retinal Imaging and Analysis (4 papers), Ocular Diseases and Behçet’s Syndrome (4 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Samir Touma is often cited by papers focused on Retinal Imaging and Analysis (4 papers), Ocular Diseases and Behçet’s Syndrome (4 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Samir Touma collaborates with scholars based in Canada, United Kingdom and France. Samir Touma's co-authors include Fares Antaki, Renaud Duval, Daniel Milad, Jonathan El‐Khoury, Charles‐Édouard Giguère, Pearse A. Keane, Mark A. Chia, Andrei-Alexandru Szigiato, Marie Carole Boucher and Marie‐Josée Aubin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Vision Research.

In The Last Decade

Samir Touma

13 papers receiving 445 citations

Hit Papers

align trajectories

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.

Evaluating the Performance of ChatGPT in Ophthalmology

2023 306 citations Fares Antaki, Samir Touma et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samir Touma Canada	6	326	264	96	96	59	14	456
Jonathan El‐Khoury Canada	5	300 0.9×	216 0.8×	57 0.6×	87 0.9×	57 1.0×	13	391
Daniel Milad Canada	8	339 1.0×	272 1.0×	99 1.0×	95 1.0×	62 1.1×	32	511
Ryan S. Huang Canada	11	290 0.9×	231 0.9×	65 0.7×	117 1.2×	49 0.8×	73	460
Hanzhou Li United States	6	182 0.6×	146 0.6×	15 0.2×	85 0.9×	15 0.3×	24	350
Philip Rothschild Australia	3	117 0.4×	86 0.3×	49 0.5×	29 0.3×	15 0.3×	6	207
Sebastian Brodehl Germany	5	417 1.3×	278 1.1×	11 0.1×	127 1.3×	47 0.8×	7	566
Takanobu Hirosawa Japan	9	309 0.9×	161 0.6×	8 0.1×	158 1.6×	90 1.5×	31	489
Henry David Jeffry Hogg United Kingdom	10	133 0.4×	125 0.5×	89 0.9×	30 0.3×	8 0.1×	48	329
Patricia L. Zadnik Sullivan United States	3	292 0.9×	167 0.6×	8 0.1×	90 0.9×	50 0.8×	5	353
Y Zhang China	7	99 0.3×	70 0.3×	55 0.6×	36 0.4×	14 0.2×	33	258

Countries citing papers authored by Samir Touma

Since Specialization

Citations

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

Fields of papers citing papers by Samir Touma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samir Touma

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

All Works

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14 of 14 papers shown

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

Milad, Daniel, Fares Antaki, Charles‐Édouard Giguère, et al.. (2024). Assessing the medical reasoning skills of GPT-4 in complex ophthalmology cases. British Journal of Ophthalmology. 108(10). 1398–1405. 31 indexed citations

Touma, Samir, et al.. (2024). Comparing code-free deep learning models to expert-designed models for detecting retinal diseases from optical coherence tomography. International Journal of Retina and Vitreous. 10(1). 37–37. 4 indexed citations

Milad, Daniel, et al.. (2024). Automated Machine Learning versus Expert-Designed Models in Ocular Toxoplasmosis: Detection and Lesion Localization Using Fundus Images. Ocular Immunology and Inflammation. 32(9). 2061–2067. 6 indexed citations

Touma, Samir, et al.. (2023). Natural History of Untreated Optic Neuritis Associated With Mild COVID-19 Infection. Cureus. 15(7). e42168–e42168.

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 →

Antaki, Fares, Daniel Milad, Mark A. Chia, et al.. (2023). Capabilities of GPT-4 in ophthalmology: an analysis of model entropy and progress towards human-level medical question answering. British Journal of Ophthalmology. 108(10). 1371–1378. 59 indexed citations

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

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.

Szigiato, Andrei-Alexandru, et al.. (2022). Efficacy of ab-interno gelatin microstent implantation in primary and refractory glaucoma. Canadian Journal of Ophthalmology. 58(4). 328–337. 6 indexed citations

11.

Hébert, Mélanie, et al.. (2022). Indications and pathologic diagnoses of diagnostic chorioretinal biopsies in the province of Quebec, Canada. Canadian Journal of Ophthalmology. 58(5). 491–497. 1 indexed citations

12.

Antaki, Fares, et al.. (2020). <p>Endogenous Tuberculous Endophthalmitis and Panophthalmitis: A Systematic Review of Case Reports and Case Series</p>. Clinical ophthalmology. Volume 14. 3075–3096. 3 indexed citations

13.

Kingdom, Frederick A. A., Samir Touma, & Ben J. Jennings. (2020). Negative afterimages facilitate the detection of real images. Vision Research. 170. 25–34. 3 indexed citations

14.

Touma, Samir & Mona Harissi‐Dagher. (2020). Outcomes and complications of Boston keratoprosthesis type I implantation in unilateral versus bilateral corneal blindness. Canadian Journal of Ophthalmology. 56(2). 130–136. 1 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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