Written by Dicte Madsen

SciVal (Scival.com) is a bibliometric tool for analyzing and visualizing the relative positioning of research of individuals, institutions and countries.
The results can be used in decision-making, strategic planning, recruitment or for identifying collaborators. It offers access to research performance indicators of more than 12.000 research institutions and offers built-in metrics based on citations, publications, and usage data that may be used to measure productivity, citation impact or subject disciplinarity.
SciVal is based on data from Scopus (1996 - present), one of the largest abstract and citation databases available.
SciVal’s four modules enable analyses for different purposes:

Overview:
Get an overview of research performance for a fixed period for a single entity, e.g. researcher or institution. The metrics, e.g.  Field-Weighted Citation Impact, citations per publication or h-index, are based on either publications or citations.  

Benchmark:
Evaluate your institution against its research field or peer institutions. Use the benchmark module to compare or monitor progress over time. Identify your institution’s strengths and weaknesses. This module utilizes the full dataset from 1996-2020. 

Collaboration:
Explore institutional collaboration and co-authorships. Who are the primary collaborators at your institutions, in each countries etc. Data is presented as a world map that can be drilled down to the level of individual collaborators.

Trends: Analyze the research trends of any research area, topic or topic cluster using citation and usage data to discover top performers, rising stars, and current developments within research fields.

SciVal offers report templates that may be populated with the results of analyses from all four modules and presented as both tables and visualizations. Save and share the report definitions.
You can access SciVal on campus by using your Elsevier login from Scopus or Mendeley. Alternatively, you can create an account using your CBS e-mail.

SciVal is easy to use, but be mindful when interpreting the results; Size, discipline, publication type, coverage, manipulation, and period will affect the metrics.

Visit Scival

For further information, please contact the Research Metrics Team or consult the “Research Metrics Guidebook”.