Centre for Science and Technology Studies Centre for Science and Technology Studies 2333AL Leiden Zuid Holland 31715273909

Centre for Science and Technology Studies

The Centre for Science and Technology Studies (CWTS) studies scientific research and its connections to technology, innovation, and society. Our research, bibliometric and scientometric tools, and evaluation expertise provide a solid basis for supporting research assessment and strategic decision making and for developing science policy.





  • Using the Leiden algorithm to find well-connected clusters in networks

    An exciting development in the field of quantitative science studies is the use of algorithmic clustering approaches to construct article-level classifications based on citation networks. Until recently, most classifications were based on categorizing journals rather than individual articles. This is understandable given the substantial challenges of classifying millions of articles. At CWTS, we now routinely work with article-level classifications. We have dedicated quite some time developing clustering algorithms for creating these classifications. These algorithms have an impact beyond our own research field and are of interest to many network scientists.

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  • Research excellence in the Global South: bibliometric evidence of 21st century trends

    Research performance in Africa and South America is heavily affected by international scientific cooperation. Research excellence in the South is gradually on the way up, aided by the North. Levels of research excellence drop by 40-50% when transcontinental research partnerships are discarded. 

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  • S&T indicators 'in the wild': contextualisation and participation for responsible metrics

    In the face of the limitations, misuses and abuses of conventional bibliometric-based evaluation, we have recently seen an increasing demand for new type indicators – asking, for example, for indicators of societal impact, open science or RRI (responsible research and innovation). Will ‘better’ and ‘faster’ indicators solve the current controversies on evaluation?

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