Siamak Yousefi

2.9k total citations · 2 hit papers
85 papers, 2.1k citations indexed

About

Siamak Yousefi is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Siamak Yousefi has authored 85 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Radiology, Nuclear Medicine and Imaging, 57 papers in Ophthalmology and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Siamak Yousefi's work include Glaucoma and retinal disorders (51 papers), Retinal Imaging and Analysis (42 papers) and Retinal Diseases and Treatments (26 papers). Siamak Yousefi is often cited by papers focused on Glaucoma and retinal disorders (51 papers), Retinal Imaging and Analysis (42 papers) and Retinal Diseases and Treatments (26 papers). Siamak Yousefi collaborates with scholars based in United States, Japan and Iran. Siamak Yousefi's co-authors include Linda M. Zangwill, Felipe A. Medeiros, Robert N. Weinreb, Akram Belghith, Alberto Diniz‐Filho, Min Hee Suh, Luke J. Saunders, Patricia Isabel C. Manalastas, Adeleh Yarmohammadi and Michael H. Goldbaum and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Siamak Yousefi

79 papers receiving 2.0k 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.

Optical Coherence Tomography Angiography Vessel Density in Healthy, Glaucoma Suspect, and Glaucoma Eyes

2016 391 citations Adeleh Yarmohammadi, Linda M. Zangwill et al. Investigative Ophthalmology & Visual Science profile →
Relationship between Optical Coherence Tomography Angiography Vessel Density and Severity of Visual Field Loss in Glaucoma

2016 328 citations Adeleh Yarmohammadi, Linda M. Zangwill et al. Ophthalmology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Siamak Yousefi United States	22	1.7k	1.7k	205	152	124	85	2.1k
Amir Sadeghipour Austria	15	1.5k 0.9×	1.4k 0.8×	182 0.9×	27 0.2×	188 1.5×	43	1.8k
Gilbert Lim Singapore	16	1.1k 0.6×	854 0.5×	239 1.2×	24 0.2×	62 0.5×	33	1.4k
Edward Korot United Kingdom	14	760 0.4×	550 0.3×	112 0.5×	40 0.3×	74 0.6×	38	1.2k
Yuri Fujino Japan	19	1.1k 0.6×	1.2k 0.7×	110 0.5×	101 0.7×	69 0.6×	72	1.3k
Akram Belghith United States	24	2.3k 1.3×	2.5k 1.5×	170 0.8×	40 0.3×	244 2.0×	87	2.7k
Victor Koh Singapore	22	1.0k 0.6×	1.2k 0.7×	25 0.1×	99 0.7×	61 0.5×	95	1.6k
An Ran Ran Hong Kong	16	684 0.4×	565 0.3×	101 0.5×	19 0.1×	120 1.0×	41	852
Minshan Jiang China	14	567 0.3×	402 0.2×	190 0.9×	60 0.4×	312 2.5×	28	872
Yuchen Xie China	12	497 0.3×	358 0.2×	109 0.5×	15 0.1×	60 0.5×	26	748
Mohd Zulfaezal Che Azemin Malaysia	13	488 0.3×	329 0.2×	153 0.7×	84 0.6×	17 0.1×	65	704

Countries citing papers authored by Siamak Yousefi

Since Specialization

Citations

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

Fields of papers citing papers by Siamak Yousefi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siamak Yousefi

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

All Works

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20 of 20 papers shown

Delsoz, Mohammad, Amin Nabavi, Brian Fowler, et al.. (2025). Large Language Models: Pioneering New Educational Frontiers in Childhood Myopia. Ophthalmology and Therapy. 14(6). 1281–1295.

Hoehn, Mary Ellen, et al.. (2025). Visual Outcomes after Strabismus Surgery in Pediatric Patients with Strabismic Amblyopia. Ophthalmology. 132(9). 1005–1012. 1 indexed citations

Taneri, Suphi, Ramin Salouti, M. Hossein Nowroozzadeh, et al.. (2025). Artificial Intelligence–Derived Biomechanical Index for Early Corneal Ectasia Detection: Advancing Beyond Tomography. Ophthalmology Science. 6(1). 100952–100952.

Soleimani, Mohammad, Elmer Y. Tu, Deborah S. Jacobs, et al.. (2024). A novel artificial intelligence model for diagnosing Acanthamoeba keratitis through confocal microscopy. The Ocular Surface. 34. 159–164. 11 indexed citations

Delsoz, Mohammad, Yeganeh Madadi, Hina Raja, et al.. (2024). Performance of ChatGPT in Diagnosis of Corneal Eye Diseases. Cornea. 43(5). 664–670. 47 indexed citations

Heidari, Zahra, Hassan Hashemi, Mehdi Khabazkhoob, et al.. (2024). Applications of Artificial Intelligence in Diagnosis of Dry Eye Disease: A Systematic Review and Meta-Analysis. Cornea. 43(10). 1310–1318. 5 indexed citations

Huang, Xiaoqin, et al.. (2024). Identifying Factors Associated With Fast Visual Field Progression in Patients With Ocular Hypertension Based on Unsupervised Machine Learning. Journal of Glaucoma. 33(11). 815–822. 1 indexed citations

Huang, Xiaoqin, Hina Raja, Yeganeh Madadi, et al.. (2024). Predicting Glaucoma Before Onset Using a Large Language Model Chatbot. American Journal of Ophthalmology. 266. 289–299. 17 indexed citations

Yousefi, Siamak, Louis R. Pasquale, Michael V. Boland, & Chris A. Johnson. (2022). Machine-Identified Patterns of Visual Field Loss and an Association with Rapid Progression in the Ocular Hypertension Treatment Study. Ophthalmology. 129(12). 1402–1411. 25 indexed citations

10.

Takahashi, Hidenori, Ali H. Al‐Timemy, Zaid Abdi Alkareem Alyasseri, et al.. (2021). Detecting keratoconus severity from corneal data of different populations with machine learning. Investigative Ophthalmology & Visual Science. 62(8). 2145–2145. 1 indexed citations

11.

Al‐Timemy, Ali H., Rossen Mihaylov Hazarbassanov, Zaid Abdi Alkareem Alyasseri, et al.. (2021). A hybrid deep learning framework for keratoconus detection based on anterior and posterior corneal maps.. Investigative Ophthalmology & Visual Science. 62(11). 46–46. 1 indexed citations

12.

Huang, Xiaoqin, Masahiro Fukuda, Tetsuro Oshika, et al.. (2021). Objective cataract detection and grading with deep learning based on OCT densitometry. Investigative Ophthalmology & Visual Science. 62(11). 67–67. 2 indexed citations

13.

Kabiri, El Hassane, Hidenori Takahashi, Takahiko Hayashi, et al.. (2020). Association between visual field and corneal shape, thickness, and elevation parameters. Investigative Ophthalmology & Visual Science. 61(7). 1981–1981. 1 indexed citations

14.

Li, Dian, Louis R. Pasquale, Lucy Q. Shen, et al.. (2020). Predicting Global Test–Retest Variability of Visual Fields in Glaucoma. Ophthalmology Glaucoma. 4(4). 390–399. 12 indexed citations

15.

Yousefi, Siamak, Hidenori Takahashi, Takahiko Hayashi, et al.. (2018). Keratoconus severity identification using unsupervised machine learning. PLoS ONE. 13(11). e0205998–e0205998. 88 indexed citations

16.

Yousefi, Siamak, Hiroki Sugiura, Ryo Asaoka, et al.. (2018). Detection of Longitudinal Visual Field Progression in Glaucoma Using Machine Learning. American Journal of Ophthalmology. 193. 71–79. 87 indexed citations

17.

Suh, Min Hee, Linda M. Zangwill, Akram Belghith, et al.. (2016). Diagnostic Innovations in Glaucoma Study (DIGS): OCT Angiography Vessel Density in Glaucomatous Eyes with Focal Lamina Cribrosa Defects. Investigative Ophthalmology & Visual Science. 57(12). 1 indexed citations

18.

Yarmohammadi, Adeleh, Linda M. Zangwill, Alberto Diniz‐Filho, et al.. (2016). OCT Angiography Vessel Density in Normal, Glaucoma Suspects and Glaucoma Eyes: Structural and Functional Associations in the Diagnostic Innovations in Glaucoma Study (DIGS). Investigative Ophthalmology & Visual Science. 57(12). 2958–2958. 5 indexed citations

19.

Belghith, Akram, Siamak Yousefi, Jameson Merkow, et al.. (2016). Diabetic retinopathy detection from image to classification using deep convolutional neural network. Investigative Ophthalmology & Visual Science. 57(12). 5961–5961. 3 indexed citations

20.

Yousefi, Siamak, Michael H. Goldbaum, Linda M. Zangwill, et al.. (2015). Unsupervised machine learning to recognize glaucoma defect patterns and detect progression in RNFL thickness measurements. Investigative Ophthalmology & Visual Science. 56(7). 4564–4564. 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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