Skip to main content
Log in

Knowledge generation in the wake of the Fukushima Daiichi nuclear power plant disaster

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

A disaster is a crisis situation that causes significant harm to humans, the environment, the economy, and impacts upon society’s ability to cope both during the event and with the aftermath. A disaster may escalate rapidly to reach unpredicted consequences. They can be naturally occurring, or man-made, or a combination of the two. In this study we have focused on the Fukushima Daiichi nuclear power plant accident of 2011 that subsequently unleashed a floodgate of scientific activities, including basic and applied research, technology development, policy reform, inter-disciplinary collaboration, citizen science and re-strategization of research networks. In this context, a bibliometric study has been conducted on 5455 publications on the Fukushima disaster indexed by Scopus for the 2011–2017 period. The aim is to identify key papers in the field, the most substantive contributors to the literature, and to begin to map out the emergence of a body of knowledge resulting from the disaster. The findings present main national and international collaborators on Fukushima disaster related research, as well as an indication of the major research themes evolving over the immediate years following the event. This allows for a deeper understanding of the longitudinal impact of a disaster on society and upon the international research community and its deliberations.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Abdullah, N., Roffeei, S. H. M., Kamarulzaman, Y., Yusop, F. D., Madun, A., & Ng, K. H. (2015). Evaluating the performance of electromagnetic fields (EMF) research work (2003–2013). Scientometrics, 105(1), 261–278.

    Article  Google Scholar 

  • Abrizah, A., Zainab, A. N., Kiran, K., & Raj, R. G. (2013). LIS journals scientific impact and subject categorization: A comparison between web of science and scopus. Scientometrics, 94, 721–740.

    Article  Google Scholar 

  • Aitsi-Selmi, A., & Murray, V. (2016). The Chernobyl disaster and beyond: implications of the Sendai framework for disaster risk reduction 2015–2030. PLoS Medicine, 13(4), e1002017.

    Article  Google Scholar 

  • Bornmann, L., Thor, A., Marx, W., & Schier, H. (2016). The application of bibliometrics to research evaluation in the humanities and social sciences: An exploratory study using normalized google scholar data for the publications of a research institute. Journal of the Association for Information Science and Technology, 67(11), 2778–2789.

    Article  Google Scholar 

  • Countries of the World. https://www.countries-ofthe-world.com. Accessed November 25, 2017.

  • Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105(3), 1809–1831.

    Article  Google Scholar 

  • European Nuclear Society. http://www.euronuclear.org. Accessed March 25, 2018.

  • Gazni, A., Sugimoto, C. R., & Didegah, F. (2012). Mapping world scientific collaboration: Authors, institutions, and countries. Journal of the Association for Information Science and Technology, 63(2), 323–335.

    Google Scholar 

  • Glänzel, W. (2012). Bibliometric methods for detecting and analysing emerging research topics. El Profesional de la Información, 21(1), 194–201.

    Article  Google Scholar 

  • IAEA Annual Report 2006. IAEA. http://www-pub.iaea.org/MTCD/publications/PDF/Pub1239_web.pdf. Accessed December 5, 2017.

  • Mryglod, O., Holovatch, Y., Kenna, R., & Berche, B. (2016). Quantifying the evolution of a scientific topic: reaction of the academic community to the Chornobyl disaster. Scientometrics, 106(3), 1151–1166.

    Article  Google Scholar 

  • Srinivasan, T. N., & Rethinaraj, T. G. (2013). Fukushima and thereafter: Reassessment of risks of nuclear power. Energy Policy, 52, 726–736.

    Article  Google Scholar 

  • Subramanyam, K. (1983). Bibliometric studies of research collaboration: A review. Journal of Information Science, 6(1), 33–38.

    Article  Google Scholar 

  • Upham, S., & Small, H. (2010). Emerging research fronts in science and technology: Patterns of new knowledge development. Scientometrics, 83(1), 15–38.

    Article  Google Scholar 

  • Wang, Q. (2018). A bibliometric model for identifying emerging research topics. Journal of the Association for Information Science and Technology, 69(2), 290–304.

    Article  Google Scholar 

  • Wang, Q., Chen, X., & Yi-chong, X. (2013). Accident like the Fukushima unlikely in a country with effective nuclear regulation: Literature review and proposed guidelines. Renewable and Sustainable Energy Reviews, 17, 126–146.

    Article  Google Scholar 

  • Wang, Q., Li, R., & He, G. (2018). Research status of nuclear power: A review. Renewable and Sustainable Energy Reviews, 90, 90–96.

    Article  Google Scholar 

  • Yablokov, A., Nesterenko, V., & Nesterenko, A. (2009). 15. Consequences of the Chernobyl catastrophe for public health and the environment 23 years later. Annals of the New York Academy of Sciences, 1181, 318–326.

    Article  Google Scholar 

  • Yanev, Y. (2013). The challenge of managing knowledge in nuclear energy development. Energy Strategy Reviews, 1(4), 282–285.

    Article  Google Scholar 

  • Zhang, N., Wan, S., Wang, P., Zhang, P., & Wu, Q. (2018). A bibliometric analysis of highly cited papers in the field of economics and business based on the essential science indicators database. Scientometrics, 116(2), 1039–1053.

    Article  Google Scholar 

  • Zhang, J., Yu, Q., Zheng, F., Long, C., Lu, Z., & Duan, Z. (2016). Comparing keywords plus of WOS and author keywords: A case study of patient adherence research. Journal of the Association for Information Science and Technology, 67(4), 967–972.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kiran Kaur.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kaur, K., Ng, K.H., Kemp, R. et al. Knowledge generation in the wake of the Fukushima Daiichi nuclear power plant disaster. Scientometrics 119, 149–169 (2019). https://doi.org/10.1007/s11192-019-03024-z

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-019-03024-z

Keywords

Navigation