Open Access

“Sparking” and “Igniting” Key Publications of 2020 Nobel Prize Laureates


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Purpose

This article aims to determine the percentage of “Sparking” articles among the work of this year’s Nobel Prize winners in medicine, physics, and chemistry.

Design/methodology/approach

We focus on under-cited influential research among the key publications as mentioned by the Nobel Prize Committee for the 2020 Noble Prize laureates. Specifically, we extracted data from the Web of Science, and calculated the Sparking Indices using the formulas as proposed by Hu and Rousseau in 2016 and 2017. In addition, we identified another type of igniting articles based on the notion in 2017.

Findings

In the fields of medicine and physics, the proportions of articles with sparking characteristics share 78.571% and 68.75% respectively, yet, in chemistry 90% articles characterized by “igniting”. Moreover, the two types of articles share more than 93% in the work of the Nobel Prize included in this study.

Research limitations

Our research did not cover the impact of topic, socio-political, and author’s reputation on the Sparking Indices.

Practical implications

Our study shows that the Sparking Indices truly reflect influence of the best research work, so it can be used to detect under-cited influential articles, as well as identifying fundamental work.

Originality/value

Our findings suggest that the Sparking Indices have good applicability for research evaluation.

eISSN:
2543-683X
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology, Project Management, Databases and Data Mining