Title
Author Evaluation Based on H-Index and Citation Response
Abstract
An accurate and fair assessment of the efficiency and impact of scientific work is, despite a lot of recent research effort, still an open problem. The measurement of quality and success of individual scientists and research groups can be approached from many different directions, none of which is universal. A reason for this is inherently different behavior of different scientists within the global research community. A complex evaluation of ones publication activities requires a careful consideration of a wide variety of factors. The well-known H-index is one of the most used bibliometric indices. Despite its many imperfections, its simplicity and ease of interpretation make it a popular scientometric method. This paper uses the ideas behind the H-index to analyze communities of authors who cite publishing scientists. A new author evaluation measure named aH-indexis proposed, and intuitive interpretations of its properties and semantics are presented. Preliminary experiments with authors with high H-index active in the area of computer science are presented to demonstrate the properties of the proposed measure.
Year
DOI
Venue
2015
10.1109/INCoS.2016.100
2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS)
Keywords
Field
DocType
author evaluation,H-index,citation response,global research community,bibliometric indices,scientometric method,aH-indexis,computer science
Data science,Data mining,Open problem,Computer science,Citation,Publishing,Semantics
Journal
Volume
ISSN
ISBN
abs/1511.05709
2470-9166
978-1-5090-4125-1
Citations 
PageRank 
References 
0
0.34
11
Authors
3
Name
Order
Citations
PageRank
Miloš Kudelka1102.59
Jan Platos228658.72
Krömer Pavel333059.99