2026-06-28T04:54:45Zhttps://docta.ucm.es/rest/oai/request
oai:docta.ucm.es:20.500.14352/732822023-08-28T18:22:27Zcom_20.500.14352_14col_20.500.14352_15
Docta Complutense author Martínez Pérez, Clara author Álvarez Peregrina, Cristina author Villa Collar, César author Sánchez Tena, Miguel Ángel 2023-06-22T12:52:39Z 2023-06-22T12:52:39Z 2022-09-21 1888-4296 10.1016/j.optom.2022.06.005 https://hdl.handle.net/20.500.14352/73282 https://doi.org/10.1016/j.optom.2022.06.005 https://www.sciencedirect.com/science/article/pii/S1888429622000401 Purpose: The objective of this study is to analyse co-authorship and co-citation networks of publications in the field of artificial intelligence in ophthalmology and optometry. As well as, identify the different areas of research and the most cited publication. Method: A search of publications was performed in the Web of Science database for the period from 1977 to December 2021, using the term “Artificial Intelligence AND (Ophthalmol* OR optometry)”. The analysis of the publication was carried out using the Citation Network Explorer, VOSviewer and CiteSpace software. Results: 1086 publications and 2348 citation networks were found. 2020 was the year with the highest number of publications, a total of 351 publications and 115 citation networks. The most cited publication was “Clinically applicable deep learning for diagnosis and referral in retinal disease” published by De Fauw et al. in 2018, with a citation index of 723. Through the clustering function, three groups were found that cover the main research areas in this field: retinal pathology, anterior segment and glaucoma. Conclusions: The citation network analysis offers an in-depth analysis of scientific publications and the adoption of new topics and fields of research. The results of an exhaustive analysis of citation networks in artificial intelligence in the field of ophthalmology and optometry are presented since the publication of the first article in 1977. eng Atribución-NoComercial-SinDerivadas 3.0 España Artificial intelligence applied to ophthalmology and optometry: A citation network analysis journal article URL https://docta.ucm.es/bitstreams/7a086187-efe3-4273-96f3-9e9e9efe9762/download File MD5 d4a7ef170c9aa8312933eba3c7404b94 1288475 application/pdf 1-s2.0-S1888429622000401-main.pdf