Análise bibliométrica da produção científica do processamento de imagens na Clarivate Analytics Web of Science de 2017 a 2013

Abstract

This research proposes to conduct a bibliometric analysis in the field of Digital Image Processing (DIP). The scope of this study encompasses an investigation of the scientific production indexed in the Clarivate Analytics Web of Science database for the period from 2017 to 2023. DIP represents a multidisciplinary field of knowledge dedicated to image manipulation, aiming to enhance its readability both for human perception and automated systems, with broad applications in various areas such as medicine, astronomy, archiving, and industrial sectors. The data collection occurred through the construction and application of the search expression in the database, aiming to obtain documents relevant to the scope of the research. Subsequently, the search results were gathered and imported into the R analysis software, the analysis was carried out through the programming language homonymous to the software used. After a new filtering by year and the performance of a non-duplication test, 111,878 documents were obtained, diverging from the number presented by the database that initially indicated 91,912 results, distributed among 161,201 authors and 131 countries. The production in the seven years analyzed shows a decrease of 2.09%. Bibliometric analysis of the results obtained presents a broad view of how the study area is established in the database, the main authors, standout countries, and topics of interest. Such analyses applied to the area in question make it possible to glimpse where the area has been structured, subsidizing the decision-making of researchers.