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A bibliometric analysis for the research on river water quality assessment and simulation during 2000–2014

Author

Listed:
  • Yuan Wang

    (Tianjin University)

  • Cuiyun Xiang

    (Tianjin University)

  • Peng Zhao

    (Tianjin University)

  • Guozhu Mao

    (Tianjin University)

  • Huibin Du

    (Tianjin University
    Chinese Academy of Sciences)

Abstract

Based on bibliometric analysis, this paper identified certain characteristics of literature related to river water quality assessment and simulation and consequently to assist researchers to establish future research directions. There were 3701 articles pertinent to river assessment and simulation published by SCIE and SSCI databases from 2000 to 2014. Various publication characteristics were analyzed, such as countries, research organizations, subject categories, journals and keywords. Results showed there was a significant growth in total publications over the past 15 years. The USA took a leading position out of 104 countries/territories, followed by China and the UK. Similarly, Chinese Academy of Sciences was the most significant contributor in this field of research. Environmental sciences and water resources were the top two most central subject categories and journal of hydrology was the most productive journal. Singh K. P ranked the first in terms of comprehensive index in all core authors. Five clusters were identified in terms of keywords networks. And temporal trend of keywords indicated nutrient and eutrophication is the hot topics and SWAT is widely accepted as the model to study water quality in the past 15 year.

Suggested Citation

  • Yuan Wang & Cuiyun Xiang & Peng Zhao & Guozhu Mao & Huibin Du, 2016. "A bibliometric analysis for the research on river water quality assessment and simulation during 2000–2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1333-1346, September.
    • Handle: RePEc:spr:scient:v:108:y:2016:i:3:d:10.1007_s11192-016-2014-2
    DOI: 10.1007/s11192-016-2014-2
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    References listed on IDEAS

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    Cited by:

    1. Jie Zheng & Jianya Gong & Rui Li & Kai Hu & Huayi Wu & Siluo Yang, 2017. "Community evolution analysis based on co-author network: a case study of academic communities of the journal of “Annals of the Association of American Geographers”," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 845-865, November.
    2. 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.
    3. Hernández-Escobedo, Quetzalcoatl & Perea-Moreno, Alberto-Jesús & Manzano-Agugliaro, Francisco, 2018. "Wind energy research in Mexico," Renewable Energy, Elsevier, vol. 123(C), pages 719-729.

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