Visualize research performance

Last updated on October 16, 2025

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In Explore, access research performance summaries of any desired research entity such as Institutions, Countries, Research Groups and Topics.

Summary page provides research performance overviews at-a-glance of any selected entity.

  1. Entity list allows you to select any entity of interest from:
    • Institutions and Groups
    • Researchers and Groups
    • Countries/Regions and Groups
      Publication Sets
    • Research Areas
    • Topics and Topic Clusters
    • Scopus Sources
    • Add an entity such as an Institution or Country/Region by typing the name in the search box. SciVal will provide you with a list of pre-defined entities matching your search
  2. Select your desired year range from:

    • 3 years*
    • 5 years*
    • 10 years
    • *+current year and beyond

    Note: Pages with a purple dot offer a flexible year range selection

  3. Filter your chosen subject classification by subject area with the default being the Scopus All Subject Journal Classification (ASJC). You can also choose from the Fields of Research (FoR), Fields of Research and Development (FORD), Research Excellence Framework (REF) 2014, QS, THE or KAKEN classifications. Additionally, the SDG, SCADC, NIRF and Polish subject classifications are available in the Benchmark (all metrics) section and on pages that have the purple dot on them
  4. Click the information icon to learn more about a metric, including its strengths and weaknesses


 

topic analysis


 

topic analysis


 

The pages in Explore provide a comprehensive understanding of entities based on the following themes:

  1. Overall Summary
  2. Bibliometrics
  3. Contribution
  4. Research Fields
  5. Rankings (for Institutions only)
  6. Collaboration
  7. Impact
  8. Funding
  9. Add to Reporting to create a Report based on several Analyses
Pages with a purple dot in the page menu offer improved features: increased flexibility, such as a flexible year range selection from 1996 till present, additional subject classifications and computation of large entities during the weekend.

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