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DOI: 10.14569/IJACSA.2018.090735
PDF

Global Citation Impact rather than Citation Count

Author 1: Gohar Rehman Chughtai
Author 2: Jia Lee
Author 3: Muhammad Mehran Arshad khan
Author 4: Rashid Abbasi
Author 5: Asif Kabir
Author 6: Muhammad Arshad Shehzad Hassan

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 7, 2018.

  • Abstract and Keywords
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Abstract: The progressing bloom in the tome of scientific literature available today debars researchers from efficiently shrewd the relevant from irrelevant content. Researchers are persistently engrossed in impactful papers, authors, and venues in their respective fields. Impact of an article depends on the citation received but just a citation count can’t give readers in-depth information about the article. That is the reason some articles are quantified unfairly on the basis of a citation count. In this paper, Global Citation Impact (GCI) is proposed which addresses the issue of considering citations of papers equally. Intuitively, the papers citing a paper are not of the same worth. The proposed index not only considers the number of citations (popularity) like many existing methods did but also considers the worth of citations (prestige). Results and discussions show that researcher whose work is cited by other prestigious papers gets higher rank which is quite fair crediting for research impact.

Keywords: Citation weighting; popular; global citations; prestigious; Global Citation Impact (GCI); research impact

Gohar Rehman Chughtai, Jia Lee, Muhammad Mehran Arshad khan, Rashid Abbasi, Asif Kabir and Muhammad Arshad Shehzad Hassan, “Global Citation Impact rather than Citation Count” International Journal of Advanced Computer Science and Applications(IJACSA), 9(7), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090735

@article{Chughtai2018,
title = {Global Citation Impact rather than Citation Count},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090735},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090735},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {7},
author = {Gohar Rehman Chughtai and Jia Lee and Muhammad Mehran Arshad khan and Rashid Abbasi and Asif Kabir and Muhammad Arshad Shehzad Hassan}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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