Defining quantitative rules for identifying influential researchers: Insights from mathematics domain

Defining quantitative rules for identifying influential researchers: Insights from mathematics domain

<p>In the midst of a vast amount of scientific literature, the need for specific rules arise especially when it comes to deciding which impactful researchers should be nominated. These rules are based on measurable quantities that can easily be applied to a researcher's quantitative data....

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Bibliographic Details
Main Author: Ghulam Mustafa (458105) (author)
Other Authors: Abid Rauf (17541708) (author), Ahmad Sami Al-Shamayleh (17541495) (author), Muhammad Tanvir Afzal (4162504) (author), Ali Waqas (20748806) (author), Adnan Akhunzada (20151648) (author)
Published: 2024
Subjects:
Information and computing sciences
Data management and data science
Library and information studies
Machine learning
Mathematical sciences
Applied mathematics
Decision tree
Rule mining
Author assessment parameters
Multilayer perceptron
Recursive elimination technique
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