R Under development (unstable) (2026-08-27 r90452 ucrt) -- "Unsuffered Consequences" Copyright (C) 2026 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > library(testthat) > library(bibliometrix) Please note that our software is open source and available for use, distributed under the MIT license. When it is used in a publication, we ask that authors properly cite the following references: Aria, M. & Cuccurullo, C. (2017) bibliometrix: An R-tool for comprehensive science mapping analysis, Journal of Informetrics, 11(4), pp 959-975, Elsevier. Aria, M. & Cuccurullo, C. (2026) Science Mapping Analysis - A primer with Biblioshiny, McGraw-Hill, ISBN: 978-88-386-2297-7. Aria, M., Cuccurullo, C., D'Aniello L. & Spano, M. (2026) Biblioshiny and the SAAS Workflow: An integrated framework for transparent and reproducible science mapping. A demonstration through the replication of a study, Journal of Informetrics, 20(3), Elsevier. Failure to properly cite the software is considered a violation of the license. For information and bug reports: - Take a look at https://www.bibliometrix.org - Send an email to info@bibliometrix.org - Write a post on https://github.com/massimoaria/bibliometrix/issues Help us to keep Bibliometrix and Biblioshiny free to download and use by contributing with a small donation to support our research team (https://bibliometrix.org/donate.html) To start with the Biblioshiny app, please digit: biblioshiny() > > test_check("bibliometrix") Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your scopus collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your openalex collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your scopus collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your scopus collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your openalex collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your lens collection into a bibliographic dataframe Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your invalid_db collection into a bibliographic dataframe 'dbsource' argument is not properly specified 'dbsource' argument has to be a character string matching one among: cochrane dimensions generic isi openalex openalex_api pubmed scopus wos lens Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your isi collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your scopus collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Collections from 2 different databases (ISI, SCOPUS) have been merged. The cited references field CR has been emptied: each database writes its references in its own format, so the same cited work would be counted more than once. The original reference strings are preserved in the CR_raw field. Reference-based analyses (co-citation, bibliographic coupling, historiograph and local citations) are therefore not available on the merged collection. 0 duplicated documents have been removed Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your scopus collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your openalex collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Collections from 3 different databases (ISI, SCOPUS, OPENALEX) have been merged. The cited references field CR has been emptied: each database writes its references in its own format, so the same cited work would be counted more than once. The original reference strings are preserved in the CR_raw field. Reference-based analyses (co-citation, bibliographic coupling, historiograph and local citations) are therefore not available on the merged collection. 2 duplicated documents have been removed Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your scopus collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your scopus collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your scopus collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your lens collection into a bibliographic dataframe Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your scopus collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your lens collection into a bibliographic dataframe Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! Converting your wos collection into a bibliographic dataframe Done! Generating affiliation field tag AU_UN from C1: Done! [ FAIL 0 | WARN 0 | SKIP 8 | PASS 348 ] ══ Skipped tests (8) ═══════════════════════════════════════════════════════════ • On CRAN (8): 'test-biblioshiny-startup.R:100:3', 'test-network.R:77:3', 'test-thematic.R:5:3', 'test-thematic.R:22:3', 'test-visualization.R:4:3', 'test-visualization.R:18:3', 'test-visualization.R:32:3', 'test-visualization.R:42:3' [ FAIL 0 | WARN 0 | SKIP 8 | PASS 348 ] > > proc.time() user system elapsed 15.71 2.10 17.25