Artículo

Status of research on building pathology: a bibliometric analysis

Resumen

This article contributes to the state of research in construction pathology, a topic little developed in Costa Rica, but with the potential to generate applied and contextualized research to the particularities in the country. Methodologically, the article was based on a bibliometric study carried out from the Scopus database and analyzed through the Bibliometrix program. The main results of the study were 268 records of publications associated to the search terms “building pathology”, “construction pathology” and “patologia de la construccion”, covering a period from 1983 to 2020 and the journals were the source of greatest recurrence in terms of publications. From the analysis of the keywords, associated themes were determined such as: buildings, concrete, walls, historical preservation, construction, non-destructive techniques, among others. Jorge De Brito stands out among the authors with the greatest number of publications, with the highest H index. With regard to the origin of scientific production, Spain stands out with a total of 147 contributions, and is also the country with the greatest number of international collaborations. It is concluded that the greatest scientific production on construction pathology has been focused on the last decade, produced in English, and Spain being the country with the greatest contribution. The link between construction pathology and areas such as heritage restoration, non-invasive techniques and construction materials, mainly concrete, is evident.
Hidayat, Erwin Yudi (57205439013); Hastuti, Khafiizh (56485990500); Muda, Azah Kamilah (23390362900)
Artificial intelligence in digital image processing: A bibliometric analysis
2025
10.1016/j.iswa.2024.200466
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212984349&doi=10.1016%2fj.iswa.2024.200466&partnerID=40&md5=14c2a82f6cb46e9efa80c050fc79c24f
Faculty of Computer Science, Universitas Dian Nuswantoro, Semarang, 50131, Indonesia; Dinus Research Group for AI in Medical Science (DREAMS), Universitas Dian Nuswantoro, Semarang, 50131, Indonesia; Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, 76100, Malaysia
All Open Access; Gold Open Access
Scopus
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