Skip to main content
SpringerLink
Log in

Facts to consider when analyzing the references of Nobel Prize scientific background

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

Although the overall analysis of the citations received by Nobel laureates in the scientific background of their Nobel Prize gives an overview of how and when Nobel-awarded discoveries have been achieved and published, it will be interesting to consider the number of mentions of each work co-authored by a Nobel winner in his Nobel Prize scientific background, the works co-authored by Nobel laureates and listed in Further Reading section of Nobel Prize scientific background, the author rank of Nobel laureates in papers cited in Nobel Prize scientific background and the citation and co-citation networks of the research works of Nobel winners to give in-depth explanations of the dynamics of Nobel Prize discoveries.

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

Notes

  1. The study shows that Physical Review Letters published 28.5% of the Nobel Prize-awarded papers followed by the Astrophysical journal (11.2%), Science (5.6%) and Nature (4.7%).

  2. Nature, 1995—Mentioned eight times.

  3. Astrophysical Journal, 1984—Mentioned four times.

  4. Astrophysical Journal, 1965—Mentioned three times.

  5. Astrophysics and Space Science, 1970—Mentioned three times.

  6. Astrophysical Journal, 1970—Mentioned three times.

  7. Astrophysical Journal, 1982—Mentioned three times.

  8. The journals that mostly published the 132 references of Nobel Prize scientific background having Nobel winners as first authors are Physical Review Letters (17.4%) then the Astrophysical journal (13.6%), Physical Review (8.3%) and Japanese Journal of Applied Physics (4.7%).

References

  • Arkhipov, D. B. (1999). Scientometric analysis of nature, the journal. Scientometrics,46(1), 51–72.

    Article  Google Scholar 

  • Bjørk, R. (2020). The journals in physics that publish Nobel Prize research. Scientometrics,122(2), 817–823.

    Article  Google Scholar 

  • Garfield, E. (1996). Fortnightly Review: How can impact factors be improved? BMJ,313(7054), 411–413.

    Article  Google Scholar 

  • Gates, A. J., Ke, Q., Varol, O., & Barabási, A.-L. (2019). Nature’s reach: Narrow work has broad impact. Nature,575(7781), 32–34.

    Article  Google Scholar 

  • Hadj Taieb, M. A., Ben Aouicha, M., & Turki, H. (2019). Paper co-citation analysis using semantic similarity measures. In 19th international conference on intelligent systems design and applications. MIRLabs.

  • Hagen, N. T. (2008). Harmonic allocation of authorship credit: Source-level correction of bibliometric bias assures accurate publication and citation analysis. PLoS ONE,3(12), e4021.

    Article  Google Scholar 

  • Hu, Z., Lin, G., Sun, T., & Hou, H. (2017). Understanding multiply mentioned references. Journal of Informetrics,11(4), 948–958.

    Article  Google Scholar 

  • Hummon, N. P., & Dereian, P. (1989). Connectivity in a citation network: The development of DNA theory. Social Networks,11(1), 39–63.

    Article  Google Scholar 

  • Kajikawa, Y., & Takeda, Y. (2009). Citation network analysis of organic LEDs. Technological Forecasting and Social Change,76(8), 1115–1123.

    Article  Google Scholar 

  • Pooladian, A., & Borrego, Á. (2017). Methodological issues in measuring citations in Wikipedia: A case study in Library and Information Science. Scientometrics,113(1), 455–464.

    Article  Google Scholar 

  • Sekercioglu, C. H. (2008). Quantifying coauthor contributions. Science,322(5900), 371.

    Article  Google Scholar 

  • Wagner, W. (2010). Steven Bird, Ewan Klein and Edward Loper: Natural language processing with Python, analyzing text with the natural language toolkit. Language Resources and Evaluation,44(4), 421–424.

    Article  Google Scholar 

  • Wan, X., & Liu, F. (2014). WL-index: Leveraging citation mention number to quantify an individual's scientific impact. Journal of the Association for Information Science and Technology,65(12), 2509–2517.

    Article  Google Scholar 

  • Wen, F. (2019). Study on the research evolution of Nobel laureates 2018 based on self-citation network. Journal of Documentation,75(6), 1416–1431.

    Article  Google Scholar 

Download references

Acknowledgements

We thank Seyed Mohammad Jafar Jalali (Deakin University, Australia) and two other anonymous reviewers for providing useful comments and discussions about this output.

Author information

Authors and Affiliations

  1. Faculty of Medicine of Sfax, University of Sfax, Sfax, Tunisia

    Houcemeddine Turki

  2. Faculty of Sciences of Sfax, University of Sfax, Sfax, Tunisia

    Mohamed Ali Hadj Taieb & Mohamed Ben Aouicha

Authors
  1. Houcemeddine Turki
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mohamed Ali Hadj Taieb
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mohamed Ben Aouicha
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Houcemeddine Turki.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Turki, H., Hadj Taieb, M.A. & Ben Aouicha, M. Facts to consider when analyzing the references of Nobel Prize scientific background. Scientometrics 124, 787–790 (2020). https://doi.org/10.1007/s11192-020-03456-y

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-020-03456-y

Keywords

Search

Navigation