Skip to main content
SpringerLink
Log in

To Quantify the Inter-field Citation Impact on Author Indexing

  • ORIGINAL ARTICLE
  • Published:
Data-Enabled Discovery and Applications

Abstract

With the rise in science and technology, the publishing and sharing of knowledge have become an undeniable factor for the growth of an academic venue. The worth of any publication depends upon how frequently that article is being cited and by which prestige. In this work, the inter-field citation index (IFC) technique is proposed which highlights and differentiates between interdisciplinary and intradisciplinary citations and their role in the research community. The proposed technique can perform well for the researchers for their overall impact and ranking. Further, to explain and calculate the prestige of an article as per the proposed idea, a comparison between the proposed work and h-index and global citation impact (GCI) has also been anticipated.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. R. Abbasi et al., Discovering temporal user interest on twitter by using semantic-based dynamic interest finding model (TUT). 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) (2017): 743–747. Web

  2. S. Alonso et al., H-index: A review focused in its variants, computation and standardization for different scientific fields. J. Informet. 3(4), 273–289 (2009)

  3. T. Amjad, A. Daud, Indexing of authors according to their domain of expertise. Malays. J. Libr. Inf. Sci. 22.1, 69–82 (2017) Print

    Google Scholar 

  4. L. Bornmann, M. Rüdiger, D.D. Hans, Are there better indices for evaluation purposes than the h index? A comparison of nine different variants of the h index using data from biomedicine. J. Am. Soc. Inf. Sci. Technol. 59.5, 830–837 (2008) Web

    Article  Google Scholar 

  5. R.J.C. Brown, A simple method for excluding self-citation from the h-index: the b-index. Online Inf. Rev. 33(6), 1129–1136 (2009) Web

    Article  Google Scholar 

  6. Q.L. Burrell, Hirsch’s h-index: A stochastic model. J. Informet. 1(1), 16–25 (2007)

  7. F.J. Cabrerizo et al., Q 2-index : quantitative and qualitative evaluation based on the number and impact of papers in the Hirsch core. J. Informetrics 4, 23–28 (2010) Web

    Article  Google Scholar 

  8. G.R. Chughtai et al., Global citation impact rather than citation count. Int. J. Adv. Comput. Sci. Appl. 9(7) (2018)

  9. R. Costas, T.N. van Leeuwen, A.F.J. van Raan, The ‘Mendel syndrome’ in science: durability of scientific literature and its effects on bibliometric analysis of individual scientists. Scientometrics 89.1, 177–205 (2011) Web

    Article  Google Scholar 

  10. A. Daud, F. Muhammad, Consistent annual citations based researcher index. Collnet J. Scientometr. Inform. Manag. 8.2, 209–216 (2014) Web

    Article  Google Scholar 

  11. A. Daud, R. Abbasi, F. Muhammad. “Finding rising stars in social networks.” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics). 7825 LNCS. N.p., 2013. 13–24. Web

  12. Y. Ding et al., PageRank for ranking authors in co-citation networks. J. Am. Soc. Inf. Sci. Technol. 60.12, 1–19 (2009) Print

    Google Scholar 

  13. L. Egghe, An improvement of the H-index: The g-index. ISSI Newslett. 2(1), 8–9 (2006a)

  14. L. Egghe, Theory and practise of the G-index. Scientometrics 69.1, 131–152 (2006b) Web

    Article  Google Scholar 

  15. L. Egghe, R. Rousseau, An H-index weighted by citation impact. Inf. Process. Manag. 44.2, 770–780 (2008) Web

    Article  Google Scholar 

  16. M. Franceschet, G. Colavizza, TimeRank: a dynamic approach to rate scholars using citations. J. Informetr. 11.4, 1128–1141 (2017) Web

    Article  Google Scholar 

  17. J.E. Hirsch, An index to quantify an individual’s scientific research output. Proc. Natl. Acad. Sci. U. S. A. 102.46, 16569–16572 (2005) Web

    Article  Google Scholar 

  18. B.H. Jin et al., The R- and AR-indices: complementing the h-index. Chin. Sci. Bull. 52(6), 855–863 (2007) Web

    Article  Google Scholar 

  19. B. R. Martin, “Editors’JIF-boosting stratagems–Which are appropriate and which not?” Res. Policy. 1–7 (2016)

  20. G. Rehman, J. Lee, Quantifying the impact of hot-paper on new researchers. ICCIS 2017 Proceedings of the 2017 2nd International Conference on Communication and Information Systems. Wuhan, China — November 07–09, 2017: ACM, 2017. 329–334. Web

  21. M. Sanderson, Brief communication: revisiting h measured on UK LIS and IR academics. Rev. Esp. Cir. Ortop. Traumatol. 52.7, 1184–1190 (2008) Web

    Google Scholar 

  22. N. Shah, Y. Song, S-Index: Towards better metrics for quantifying research impact. arXiv preprint arXiv:1507.03650 (2015)

  23. A.L. Silverstone, C.N. Ciampaglio, T.-p. Sun, The Arabidopsis RGA gene encodes a transcriptional regulator repressing the gibberellin signal transduction pathway. Plant Cell 10.2, 155–169 (1998) Web

    Article  Google Scholar 

  24. R.S.J. Tol, The h-index and its alternatives: an application to the 100 most prolific economists. Scientometrics 80.2, 317–324 (2009) Web

    Article  Google Scholar 

  25. L. Waltman, V.A. Traag, Use of the journal impact factor for assessing individual articles need not be wrong. arXiv preprint arXiv:1703.02334 (2017)

  26. Q. Wu, The w-index : a significant improvement of the h-index. Sci. Technol. 10, 1–7 (2008) Web

    Google Scholar 

Download references

Acknowledgments

The authors are grateful to the anonymous reviewer for the helpful comments and suggestions.

Funding

This research work was financially supported by the natural science foundation of Chongqing (No. cstc2016jcyjA1315) and NSFC (No.61170036).

Author information

Authors and Affiliations

  1. College of Computer Science, Chongqing University, Chongqing, 400044, China

    Gohar Rehman Chughtai, Jia Lee & Muhammad Arshad Shehzad Hassan

  2. College of Computer Science and Technology, Anhui University, Hefei, 230601, China

    Rashid Abbasi

  3. Kotli University, Kotli, Azad Kashmir, Pakistan

    Asif Kabir

  4. SICE, University of Electronic Science and Technology, Chengdu, China

    Mahnoor Shahzadi

Authors
  1. Gohar Rehman Chughtai
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jia Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rashid Abbasi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Asif Kabir
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Mahnoor Shahzadi
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Muhammad Arshad Shehzad Hassan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Gohar Rehman Chughtai or Jia Lee.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chughtai, G.R., Lee, J., Abbasi, R. et al. To Quantify the Inter-field Citation Impact on Author Indexing. Data-Enabled Discov. Appl. 3, 9 (2019). https://doi.org/10.1007/s41688-019-0033-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s41688-019-0033-x

Keywords

Search

Navigation