Impact of field of study (FoS) on authors’ citation trend

Lubna Zafar (), Nayyer Masood () and Samreen Ayaz ()
Additional contact information
Lubna Zafar: Capital University of Science and Technology
Nayyer Masood: Capital University of Science and Technology
Samreen Ayaz: Mirpur University of Science and Technology

Scientometrics, 2023, vol. 128, issue 4, No 24, 2557-2576

Abstract: Abstract A significant aspect in scientific research is evaluating the impact of scientific contribution of an author. Authors select a particular Field of Study (FoS) to work in, based on their interest and/or by considering the currently hot topics. One aspect that may support in the selection of their research area is the future impact of their work. There are multiple studies in literature that focus on FoS trend detection and analysis etc. However, the previous work contains a gap, that is, effect of following an FoS on citation trend of scientific authors is not explored. The outcome of such a study may help a researcher in deciding his future research direction. In this research, we have proposed an approach that detects the FoS of an individual author in his/her career years by characterizing the focus of his work. Citation trend of an author based on yearly citation count is computed. The trend of an FoS is computed by combining citation trend of authors belonging to same FoS. This trend is used as an input to predict next years’ citation counts, by using Multiple Linear Regression and Artificial Neural Network. The scientific articles published from 1950 to 2017 in the domain of Computer Science are used from Microsoft Academic Graph dataset. The experimental results show that there is higher similarity between citation trend of authors that belong to the same FoS as compared to different FoS and also resembles more to the overall citation trend of that particular FoS. Hence concluded that FoS trend following has a certain impact on the citation count of authors.

Keywords: Microsoft academic graph; Field of study trend; Citation trend (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-023-04660-2 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:128:y:2023:i:4:d:10.1007_s11192-023-04660-2

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

DOI: 10.1007/s11192-023-04660-2

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 ().