VOSviewer version 1.6.17 was released on July 22, 2021. The following features have been added:
More information can be found in this blog post.
VOSviewer version 1.6.16 was released on November 25, 2020. This version fixes some problems in VOSviewer's functionality for working with data from Dimensions and Semantic Scholar. It also offers new functionality for querying the Microsoft Academic API using author, affiliation, and journal IDs and for creating term co-occurrence maps based on Semantic Scholar data.
VOSviewer version 1.6.15 was released on April 1, 2020. This version fixes some problems in VOSviewer's functionality for querying the API of Microsoft Academic. It also offers a few new options for querying the Microsoft Academic API, including options for searching in abstracts and for filtering out duplicate documents and non-scientific content.
VOSviewer version 1.6.14 was released on January 27, 2020. This version offers improved support for querying APIs. DOI files provide increased flexibility and can now also be used to query the Microsoft Academic API. The title search option for querying the Crossref API has been repaired. Also, security issues on Mac systems have been fixed.
VOSviewer Online is a web-based version of VOSviewer. It runs in a web browser and can be used to share interactive visualizations and to embed these visualizations in online platforms. More information can be found in this blog post.
VOSviewer Online has been integrated in Digital Science’s Dimensions platform, making it very easy for Dimensions users to create VOSviewer visualizations of co-authorship networks and citation networks. More information is available in this blog post.
On January 25-28, 2022, CWTS organizes the next edition of its VOSviewer course. The course takes place online. Participants will learn about all ins and outs of VOSviewer. The course is taught by the VOSviewer developers and includes a lot of hands-on practice with the software.
CitNetExplorer is a software tool for visualizing and analyzing citation networks of scientific publications. Citation networks can be explored interactively, for instance by drilling down into a network and by identifying clusters of closely related publications.