Co-authorship Network Analysis of Medical Images Researchers with Emphasis on Micro and Macro Metrics

Background: Co-authorship is used to analyze scientific collaboration and identify patterns of among researchers. Considering the role medical images in field health, it necessary cooperation network between authors order strengthen research relations them. Objectives: The purpose this study map structure all published articles images. Methods: This applied-descriptive was done with a scientometric approach social analysis. search strategy implemented core collection Web Science database Clarivate Analytics Institute. In study, 37190 three time periods 1991 - 2000, 2001 2010, 2011 2020 were reviewed. Data extraction, matrix construction, mapping co-authorship performed using Bibexcel, Gephi, Vosviewer software. Results: During period under review, pattern authors’ participation changed from 2 3 4 authors. years link strongest values 18, 16, 14 “Dipaola, R.”, “Frouin, F.” “Nishikawa, R. M.”, respectively. consisted seventy clusters its members “Alkadhi, Hatem” “Leschka, Sebastian” total strength 100. 60 58, 55, 50 belonged “Van Ginneken, Bram”, “Herrmann, Ken”, “Ourselin, Sebastien”, density clustering coefficient 0.007 0.994, Conclusions: decades, incoherent. 2010-decade, 7% potential relationships realized. Dispersion researchers evident. addition, amount indicates greater willingness collaborate decade. results can be expand