EconPapers    
Economics at your fingertips  
 

Scientific impact of an author and role of self-citations

Tehmina Amjad (), Yusra Rehmat, Ali Daud and Rabeeh Ayaz Abbasi
Additional contact information
Tehmina Amjad: International Islamic University
Yusra Rehmat: International Islamic University
Ali Daud: International Islamic University
Rabeeh Ayaz Abbasi: Quaid-i-Azam University

Scientometrics, 2020, vol. 122, issue 2, No 8, 915-932

Abstract: Abstract In bibliometric and scientometric research, the quantitative assessment of scientific impact has boomed over the past few decades. Citations, being playing a major role in enhancing the impact of researchers, have become a very significant part of a plethora of new techniques for measuring scientific impact. Self-citations, though can be used genuinely to credit someone’s own work, can play a significant role in artificial manipulation of scientific impact. In this research, we study the impact of self-citations on enhancing the scientific impact of an author using a dataset retrieved from AMiner ranging from 1936 to 2014 from the computer science domain. We investigated the relations among trends of self-citation and their influence on scientific impact. We also studied its influence on ranking metrics including author impact factor and H-Index. By analyzing self-citations over time, we discover five basic self-citation trends, which are early, middle, later, multi and none. Distinctly different patterns were observed in self-citations trends. The results show that self-citations, if totally removed from total received citations, negatively influence the AIF and H-Index values and hence can be used to artificially boost the scientific impact. We used regression-based prediction models to predict the influence of self-citations on future H-Index. Classifiers including Logistic Regression, Naïve Bayes and K-NN were used with an accuracy of 93%, 73% and 60% respectively.

Keywords: Self-citations; Author impact factor; H-index; Self-citations trends; Predictive models (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-019-03334-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:122:y:2020:i:2:d:10.1007_s11192-019-03334-2

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-019-03334-2

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:scient:v:122:y:2020:i:2:d:10.1007_s11192-019-03334-2