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 version 1.6.13 was released on September 16, 2019. This version provides a few minor bug fixes.
VOSviewer version 1.6.12 was released on August 31, 2019. This version supports the Microsoft Academic API as a new data source for VOSviewer.
VOSviewer version 1.6.11 was released on April 3, 2019. This version solves the problems experienced by VOSviewer users when working with CSV files exported from Scopus.
Click the button below to launch VOSviewer directly from this web page. This requires a system with Java support.
On January 26-29, 2021, 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.