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Analyze and understand the bibliometrics drivers in rankings
Understanding university rankings and how they are calculated is daunting. Vast areas of focus, differing methodologies, and inputs create a complex landscape. However, bibliometric datasets, which underpin most ranking methods, provide crucial perspectives on ranking computations and ensuing results. With the trusted data from Scopus® at its core, SciVal cuts through this complexity by providing access to the same bibliometric datasets used by prominent ranking organizations. Discover how SciVal can help redefine your approach to university rankings strategies and strategic planning.
Bibliometric data is a key component of methodologies used by ranking organizations. Organizations like Times Higher Education, QS and U.S. News & World Report use datasets obtained from Scopus as a reliable source underpinning select rankings. This allows for a quantitative, consistent and comparable view of each university's research activities and performance, providing a robust and trustworthy basis for comparison as a part of their ranking methodologies.
With a foundation built on authoritative, globally sourced Scopus data, SciVal employs advanced data science and artificial intelligence to deliver comprehensive analytics and insights into the research activities and performance of universities and research organizations worldwide. Notably, it encompasses the bibliometric datasets key to university rankings. This provides in-depth analysis and understanding of your performance at multiple levels: researcher, department, faculty and university.
Instead of relying on manual curation and developing proxy indicators for the bibliometrics used in rankings, use SciVal’s rankings analysis. It enables you to explore, understand, and generate insights directly from the actual bibliometric datasets, eliminating the need to manually collect, organize, and interpret the data independently. SciVal's ranking analyses include the following:
QS World University Rankings 2024, 2023, 2022 and 2021
Times Higher Education’s WUR 2024, 2023, 2002, and 2021
SciVal enables you to benchmark your rankings performance against global peers. Access to bibliometric datasets within the Benchmarking module further enhances your understanding and comparison of your position and the drivers underlying your peers' ranking performance. Extensive metric guidance also helps you learn about the bibliometrics used in both new and previous ranking methodologies.
The ranking analysis feature provides insights to help inform your ranking strategies and gain a better understanding of your position compared to your peers based on the bibliometric components for ranking calculations.
Overall, no matter your position or role at a university, if you need to understand rankings, there are a variety of ways SciVal can support you, such as:
Creating management-level reports based on deep dives into the bibliometric data and metrics used by major rankings organizations
Creating benchmarking reports against peers across the bibliometrics used in rankings
Using analyses to inform the development of faculty and department-level rankings and publication strategies
Scopus® is an authoritative and comprehensive database trusted by major ranking organizations for accurate and connected bibliometric datasets. It is also at the core of SciVal.
By combining the analytical power and flexibility of SciVal, together with the breadth and depth of connected bibliometric data from Scopus®, you gain a digital consultant that not only helps you answer questions related to rankings but also helps uncover insights you can apply across your research programs and strategic planning.
Dive into the world of university rankings with SciVal — a transformative tool designed to simplify ranking metrics and provide actionable insights for institutions.
Discover how SciVal can revolutionize your ranking analyses and strategic research planning today!
