API: An Index for Quantifying a Scholar’s Academic Potential

API: An Index for Quantifying a Scholar’s Academic Potential

In the context of big scholarly data, various metrics and indicators have been widely applied to evaluate the impact of scholars from different perspectives, such as publication counts, citations, h -index, and their variants. However, these indicators have limited capacity in characterizing prospec...

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Bibliographic Details
Main Authors: Jing Ren, Lei Wang, Kailai Wang, Shuo Yu, Mingliang Hou, Ivan Lee, Xiangjie Kong, Feng Xia
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Scholarly big data
scholarly data analysis
academic potential
rising stars
Online Access:https://ieeexplore.ieee.org/document/8930550/

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