Machine Learning Approach for Effective Ranking of Researcher Assessment Parameters

Machine Learning Approach for Effective Ranking of Researcher Assessment Parameters

The measurement and assessment of academic performance is now a fact of scientific life. This assessment guides the scientific community in making significant judgments such as selecting appropriate candidates for various positions, nominating individuals for scientific awards, and awarding scholars...

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Bibliographic Details
Main Authors: Bilal Ahmed, Li Wang, Ahmad Sami Al-Shamayleh, Muhammad Tanvir Afzal, Ghulam Mustafa, Wagdi Alrawagfeh, Adnan Akhunzada
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Research evaluation
H index and variants
research assessment parameters
ranking of researchers
math subject classification
Online Access:https://ieeexplore.ieee.org/document/10328867/

Internet

https://ieeexplore.ieee.org/document/10328867/

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