Chandrashan Perera

449 total citations
26 papers, 272 citations indexed

About

Chandrashan Perera is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Chandrashan Perera has authored 26 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ophthalmology, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Chandrashan Perera's work include Intraocular Surgery and Lenses (6 papers), Ocular Infections and Treatments (5 papers) and Retinal Imaging and Analysis (5 papers). Chandrashan Perera is often cited by papers focused on Intraocular Surgery and Lenses (6 papers), Ocular Infections and Treatments (5 papers) and Retinal Imaging and Analysis (5 papers). Chandrashan Perera collaborates with scholars based in United States, Australia and Hong Kong. Chandrashan Perera's co-authors include Rahul Chakrabarti, Vishal Jhanji, Jonathan G. Crowston, Amirul Islam, Regis P. Kowalski, David Myung, Rasik B. Vajpayee, Theodore Leng, Cherng-Ru Hsu and Cassie A. Ludwig and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Ophthalmology and British Journal of Ophthalmology.

In The Last Decade

Chandrashan Perera

24 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chandrashan Perera United States 10 138 130 58 40 39 26 272
Luis Filipe Nakayama Brazil 11 123 0.9× 147 1.1× 37 0.6× 32 0.8× 18 0.5× 54 348
Daniele M. S. Barros Brazil 10 47 0.3× 85 0.7× 42 0.7× 33 0.8× 17 0.4× 17 275
Bita Momenaei United States 10 201 1.5× 202 1.6× 49 0.8× 29 0.7× 31 0.8× 43 384
Ching‐Yu Cheng Singapore 11 216 1.6× 202 1.6× 41 0.7× 9 0.2× 121 3.1× 28 334
Daniel Milad Canada 8 99 0.7× 272 2.1× 37 0.6× 16 0.4× 21 0.5× 32 511
Henry David Jeffry Hogg United Kingdom 10 89 0.6× 125 1.0× 90 1.6× 28 0.7× 25 0.6× 48 329
Gauri Shankar Shrestha Nepal 12 214 1.6× 133 1.0× 70 1.2× 11 0.3× 114 2.9× 52 424
Eduardo Viteri Colombia 6 64 0.5× 62 0.5× 126 2.2× 17 0.4× 15 0.4× 7 232
Daniel T. Hogarty Australia 7 155 1.1× 187 1.4× 32 0.6× 11 0.3× 91 2.3× 10 364
Ali Sharifi Iran 9 160 1.2× 85 0.7× 36 0.6× 18 0.5× 51 1.3× 37 312

Countries citing papers authored by Chandrashan Perera

Since Specialization
Citations

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

Fields of papers citing papers by Chandrashan Perera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandrashan Perera

This figure shows the co-authorship network connecting the top 25 collaborators of Chandrashan Perera. A scholar is included among the top collaborators of Chandrashan Perera 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 Chandrashan Perera. Chandrashan Perera 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.
Singh, Rohan Bir, et al.. (2023). Clinical Characterization and Outcomes of Culture- and Polymerase Chain Reaction-Negative Cases of Infectious Keratitis. Diagnostics. 13(15). 2528–2528. 3 indexed citations
2.
Dow, Eliot R., Karen Chen, Kapil Mishra, et al.. (2023). Artificial Intelligence-Human Hybrid Workflow Enhances Teleophthalmology for the Detection of Diabetic Retinopathy. SHILAP Revista de lepidopterología. 3(4). 100330–100330. 16 indexed citations
3.
Prakash, Gaurav, Chandrashan Perera, & Vishal Jhanji. (2023). Comparison of machine learning–based algorithms using corneal asymmetry vs. single-metric parameters for keratoconus detection. Graefe s Archive for Clinical and Experimental Ophthalmology. 261(8). 2335–2342. 2 indexed citations
4.
Perera, Chandrashan, Hsu-kuang Chiu, Cherng-Ru Hsu, et al.. (2022). An Outperforming Artificial Intelligence Model to Identify Referable Blepharoptosis for General Practitioners. Journal of Personalized Medicine. 12(2). 283–283. 13 indexed citations
5.
Perera, Chandrashan, et al.. (2022). Fungal Keratitis: Clinical Features, Risk Factors, Treatment, and Outcomes. Journal of Fungi. 8(9). 962–962. 19 indexed citations
6.
Perera, Chandrashan, Laura Palazzolo, Alex Mammen, et al.. (2021). Comparison of Clinical Features and Treatment Outcomes of Pseudomonas aeruginosa Keratitis in Contact Lens and Non–Contact Lens Wearers. American Journal of Ophthalmology. 227. 1–11. 20 indexed citations
7.
Perera, Chandrashan, Kewei Chen, David Myung, et al.. (2021). A deep learning approach to identify blepharoptosis by convolutional neural networks. International Journal of Medical Informatics. 148. 104402–104402. 18 indexed citations
8.
Perera, Chandrashan, et al.. (2021). An 18-Year Overview of Serratia marcescens Ocular Infection. Eye & Contact Lens Science & Clinical Practice. 47(8). 471–475. 4 indexed citations
9.
Durrani, Asad F., et al.. (2020). Microbiological evaluation of corneal and contact lens cultures in contact lens-associated bacterial keratitis. British Journal of Ophthalmology. 106(5). 600–604. 8 indexed citations
10.
Ludwig, Cassie A., Chandrashan Perera, David Myung, et al.. (2020). Automatic Identification of Referral-Warranted Diabetic Retinopathy Using Deep Learning on Mobile Phone Images. Translational Vision Science & Technology. 9(2). 60–60. 22 indexed citations
11.
Perera, Chandrashan, et al.. (2018). A fishy eyelid injury. Orbit. 38(3). 233–235. 1 indexed citations
12.
Paddle, Paul, et al.. (2017). THE DEVELOPMENT OF A HOSPITAL SECURE MESSAGING AND COMMUNICATION PLATFORM: A CONCEPTUALIZATION. Journal of the Association for Information Systems. 2699–2710. 1 indexed citations
13.
Perera, Chandrashan, Rahul Chakrabarti, Amirul Islam, & Jonathan G. Crowston. (2015). The Eye Phone Study: reliability and accuracy of assessing Snellen visual acuity using smartphone technology. Eye. 29(7). 888–894. 50 indexed citations
14.
Perera, Chandrashan & Rahul Chakrabarti. (2015). A Review of m-Health in Medical Imaging. Telemedicine Journal and e-Health. 21(2). 132–137. 7 indexed citations
15.
Scanlon, Andrew, et al.. (2015). Development of a Nurse Practitioner led Carpal Tunnel Syndrome clinic. Australian journal of advanced nursing. 32(3). 1 indexed citations
16.
Chakrabarti, Rahul & Chandrashan Perera. (2014). Smartphone medical imaging: applications and future considerations. 3(1). 1–1. 2 indexed citations
17.
Perera, Chandrashan, et al.. (2013). Lymphoma of the trigeminal nerve – the need for histological diagnosis. British Journal of Neurosurgery. 28(2). 278–280. 5 indexed citations
18.
Perera, Chandrashan & Rahul Chakrabarti. (2013). The utility of mHealth in Medical Imaging. 2(3). 4–6. 4 indexed citations
19.
20.
Perera, Chandrashan, Vishal Jhanji, & Rasik B. Vajpayee. (2011). Factors Influencing Outcomes of the Treatment of Allograft Corneal Rejection. American Journal of Ophthalmology. 152(3). 358–363.e2. 14 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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