SciVal is a powerful data-based research analysis platform that enables professional research analysis, evaluation and prediction for countries, universities, government research institutions, disciplines, research teams and researchers at all levels. SciVal contents including:  

1. 22,000 research institutions in 230 countries  

2. Data of more than 16 million active scholars worldwide  

3. Flexibility to customize data for institutions, disciplines and scholars  

4. More than 48 million data records  

5. Contains 1500 research topic clusters and 96000 research topics to describe the research content of the entity  

6. Support discipline level analysis of research objects with the discipline classification system of first-level disciplines of the Ministry of Education  

7. Support journal impact analysis of more than 26,000 journals indexed by Scopus  

8. Can analyse THE corresponding research output ranked by QS, THE and Shanghai Ranking  

9. Data updated every 2 weeks

The library has ordered 4 functional modules:

Overview—visualize the comprehensive scientific performance of the analyzed objects

Benchmarking — By setting benchmark objects, conduct multi-dimensional index horizontal comparison

Collaboration—to review the existing scientific research cooperation output and explore potential cooperation opportunities

Trend—Quickly locate various disciplines, customize scientific research fields, and the latest global hotspots of research topics

Scival User registration guide.pdf