The course Bibliometrics and Scientometrics for Research Evaluation offers a deep insight into the use of citation analysis, bibliometric visualization, and other related tools for evaluating scientific research. Information on the course, including the course program, is offered below.
The course aims to provide participants with a thorough understanding of citation analysis and bibliometric visualization, focusing on their use in research evaluation. After completing the course, you will be able to:
The course aims to serve a broad audience that includes anyone with a professional interest in citation analysis, bibliometric visualization, and other scientometric tools for research evaluation. The course is most beneficial for participants that already have some basic knowledge on bibliometrics and citation analysis.
In order to have optimal possibilities for interaction with the lecturers, the number of participants in the course is limited to 22. Participants are expected to bring their own laptop with them.
The course is provided by the following lecturers:
Ludo Waltman PhD: Ludo is deputy director of CWTS and leader of the CWTS research group on Quantitative Science Studies. He is one of the developers of the popular VOSviewer software, and he is also responsible for the CWTS Leiden Ranking. Ludo is Editor-in-Chief of Journal of Informetrics, one of the most prominent scientific journals in the field of bibliometrics and scientometrics.
Ed Noijons PhD: As operational director of CWTS, Ed is responsible for applied bibliometric analyses carried out by CWTS. Ed has over 25 years of experience in bibliometric research and applied bibliometric projects. His research interests include structuring and mapping of science, with a focus on applications in science policy and research management.
The local organizers of the course are Kristi Holmes and Karen Gutzman from the Galter Health Sciences Library at Northwestern University.
To register for the course, please use this booking form. Registration is on a first come, first serve basis.