Phys.org  May 10, 2018
As different academic disciplines have different research behaviours and citation practices, a comparison of research quality across different disciplines based on raw citation counts would not reflect accurately the research merit. An international team of researchers (USA – Columbia University, Singapore) has developed an article-level metric, called “topic-adjusted visibility metric”, which is able to automatically account for the variation in citation activities among different research fields by using a complex network containing attributes belonging to the selected article. Each article need not belong to a single field but can belong to multiple fields with varying degrees. This can provide a better gauge for comparing individual scientific publications across different fields…read more. Open Access TECHNICAL ARTICLE
An actual scientific article (from the KDD Cup dataset) with known citations was used to demonstrate how the algorithm could generate recommendations for researchers searching for information in a related field. Credit: Annals of Applied Statistics