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A bibliometric analysis on the performance and underlying dynamic patterns of water security research

Author

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  • Cuiqian Huai

    (Tianjin University)

  • Lihe Chai

    (Tianjin University)

Abstract

Water security has been an emerging and rapidly developing new research area. A bibiometric study is very helpful. By sufficiently analyzing the data from all related items between 1998 and 2015 obtained in Web of Science databases, we found the publications in overall scopes, various subjects, countries or journals all matched logistic growths with large value of K (maximum possible publication) and small value of b (related to growth rate). The most promising subjects were environmental sciences and water resources, and Zipf’s law of publication distribution in all subjects was satisfied. USA owned maximum publications, whereas Canada had a more latent capacity. USA and UK dominated the collaborative network. With “Water Science and Technology” as the most active journal, the Bradford’s scattering distribution of publications in all journals was elucidated. The productivity of the authors showed a rough Lotka’s distribution. Besides “water security” and “water safety”, “climate change” was the hottest keyword. The co-words patterns revealed the wide mutual influences between water security and climate change. No significant aging for the highly cited publications implied the past, future and vitality of rapidly-developing water security research. Our findings drawn from a suite of bibliometric indicators are instructive for the future studies of researchers, the strategy/policy of countries and the efforts of publishing organizations, altogether prompting the global water security research.

Suggested Citation

  • Cuiqian Huai & Lihe Chai, 2016. "A bibliometric analysis on the performance and underlying dynamic patterns of water security research," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1531-1551, September.
    • Handle: RePEc:spr:scient:v:108:y:2016:i:3:d:10.1007_s11192-016-2019-x
    DOI: 10.1007/s11192-016-2019-x
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    References listed on IDEAS

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    1. Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.
    2. Tianlong Zheng & Juan Wang & Qunhui Wang & Chunhong Nie & Nicholas Smale & Zhining Shi & Xiaona Wang, 2015. "A bibliometric analysis of industrial wastewater research: current trends and future prospects," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 863-882, November.
    3. Jonathan Lautze & Herath Manthrithilake, 2012. "Water security: Old concepts, new package, what value?," Natural Resources Forum, Blackwell Publishing, vol. 36, pages 76-87, May.
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    Cited by:

    1. Thomas Bolognesi & Andrea K. Gerlak & Gregory Giuliani, 2018. "Explaining and Measuring Social-Ecological Pathways: The Case of Global Changes and Water Security," Sustainability, MDPI, vol. 10(12), pages 1-21, November.
    2. Mason Youngblood & David Lahti, 2018. "A bibliometric analysis of the interdisciplinary field of cultural evolution," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-9, December.
    3. Matheus Becker Costa & Leonardo Moraes Aguiar Lima Santos & Jones Luís Schaefer & Ismael Cristofer Baierle & Elpidio Oscar Benitez Nara, 2019. "Industry 4.0 technologies basic network identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 977-994, November.
    4. Qian Ma & Yan Zhang, 2020. "Global Research Trends and Hotspots on Submarine Groundwater Discharge (SGD): A Bibliometric Analysis," IJERPH, MDPI, vol. 17(3), pages 1-14, January.
    5. Kristina Galjanić & Ivan Marović & Nikša Jajac, 2022. "Decision Support Systems for Managing Construction Projects: A Scientific Evolution Analysis," Sustainability, MDPI, vol. 14(9), pages 1-23, April.
    6. Qian Ma & Yandan Li & Yan Zhang, 2020. "Informetric Analysis of Highly Cited Papers in Environmental Sciences Based on Essential Science Indicators," IJERPH, MDPI, vol. 17(11), pages 1-14, May.
    7. Mengyang Wang & Lihe Chai, 2018. "Three new bibliometric indicators/approaches derived from keyword analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 721-750, August.
    8. Neelam Kaushal & Rahul Pratap Singh Kaurav & Brijesh Sivathanu & Neeraj Kaushik, 2023. "Artificial intelligence and HRM: identifying future research Agenda using systematic literature review and bibliometric analysis," Management Review Quarterly, Springer, vol. 73(2), pages 455-493, June.
    9. Aymen Sawassi & Roula Khadra, 2021. "Bibliometric Network Analysis of “Water Systems’ Adaptation to Climate Change Uncertainties”: Concepts, Approaches, Gaps, and Opportunities," Sustainability, MDPI, vol. 13(12), pages 1-14, June.

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