Clarivate has released a report from the company’s Institute for Scientific Information, proposing a new method for analysing the credit authors of academic papers receive via citations.

 In an increasingly global and collaborative world, where the number of articles naming dozens or even hundreds of researchers as authors is rapidly increasing, the need for informed, data-driven analysis on credit that works across research disciplines and regions is essential. However, existing methods for analyzing credit can become distorted by exceptionally high author counts.

Making it count: Research credit management in a collaborative world proposes a new indicator, the «Collaborative CNCI» (Collab-CNCI) as one possible solution.

The report not only confirms that highly collaborative papers can distort summary results at a national and institutional level – but also shows how that happens. It highlights key aspects of achievement and shows where institutions generate significant academic credit from citations to their more domestic papers.

Collab-CNCI complements the already existing Category Normalized Citation Impact indicator created by CWTS at Leiden University. But the accumulated citation count for each paper is normalized against other papers of the same publication year, the same subject category, the same document type and – critically – the same collaboration type.

The Institute for Scientific Information invites research users and managers to comment on the relative benefits of the Collab-CNCI in comparison and as a complement to other methods for enabling balanced and timely decisions at the individual, institutional and national levels. Please send all feedback to See e-posti aadress on spämmirobotite eest kaitstud. Selle nägemiseks peab su veebilehitsejas olema JavaSkript sisse lülitatud..


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