Complex networks have emerged as a simple yet powerful framework to represent and
analyze a wide range of complex systems. The problem of ranking the nodes and the edges …

Educational big data is becoming a strategic educational asset, exceptionally significant in
advancing educational reform. The term educational big data stems from the rapidly growing …

Disruptive research that reveals an important innovation in science can reshape existing
pathways. This paper studies the relationship between the prior knowledge the research …

The objective assessment of the prestige of an academic institution is a difficult and hotly
debated task. In the last few years, different types of university rankings have been proposed …

Citations between scientific papers and related bibliometric indices, such as the h-index for
authors and the impact factor for journals, are being increasingly used–often in controversial …

This study introduces an innovative automated model, the Scientists and Researchers
Classification Model (SRCM), which employs data mining and machine-learning techniques …

In this article some recent disputes about the usefulness of PageRank-based methods for
the task of identifying influential researchers in citation networks are discussed. In particular …

Citation frequency is an important metric for the evaluation of academic papers, but it
assumes that all citations are of equal value. The purpose of this study is to determine the …

Despite the increasing use of citation-based metrics for research evaluation purposes, we
do not know yet which metrics best deliver on their promise to gauge the significance of a …

Hiring appropriate editors, chairs and committee members for academic journals and
conferences is challenging. It requires a targeted search for high profile scholars who are …