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Annals of Data Science

Large Scopus Data Sets and Its Analysis for Decision Making

  • 02-08-2022
Published in:
Author
Prem Kumar Singh
Published in
Annals of Data Science | Issue 2/2024

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Abstract

The article delves into the complexities of measuring intellectual achievements of institutes and authors, highlighting the issue of manipulation through strategic publishing. It proposes methods to analyze large Scopus data sets for precise measurement, focusing on metrics such as citation rate, h-index, and i10-index. The paper also discusses the importance of consistency and expertise in research, providing case studies to illustrate the impact of manipulation on rankings and the need for fair evaluation. The proposed methods aim to provide a more accurate assessment of intellectual achievements, benefiting young researchers and policy-making processes.
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previous article Student Trend Analysis for Foreign Education Employing Machine Learning: A Case Study from ‘Disha Consultants’, Gujarat, India
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Title
Large Scopus Data Sets and Its Analysis for Decision Making
Author
Prem Kumar Singh
Publication date
02-08-2022
Publisher
Springer Berlin Heidelberg
Published in
Annals of Data Science / Issue 2/2024
Print ISSN: 2198-5804
Electronic ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-022-00435-3
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Other articles of this Issue 2/2024

Student Trend Analysis for Foreign Education Employing Machine Learning: A Case Study from ‘Disha Consultants’, Gujarat, India

A Framework for Industrial Inspection System using Deep Learning

A Generalized Gompertz Distribution with Hazard Power Parameter and Its Bivariate Extension: Properties and Applications

A Survey on Differential Privacy for Medical Data Analysis

Statistical Analysis from the Generalized Inverse Lindley Distribution with Adaptive Type-II Progressively Hybrid Censoring Scheme

Supervised Feature Selection via Quadratic Surface Regression with -Norm Regularization

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