IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i3p830-d314019.html
   My bibliography  Save this article

Global Research Trends and Hotspots on Submarine Groundwater Discharge (SGD): A Bibliometric Analysis

Author

Listed:
  • Qian Ma

    (Tianjin University Library, Tianjin University, Tianjin 300350, China
    Information Science Institute, Tianjin University, Tianjin 300350, China)

  • Yan Zhang

    (State Key Laboratory of Biogeology and Environmental Geology and School of Water Resources and Environment, China University of Geosciences-Beijing, Beijing, 100083, China)

Abstract

Submarine groundwater discharge (SGD), a major component of the hydrological cycle, has significant impacts on the sustainable development of the marine environment. This study aimed to examine the literature characteristics and research hotspots of SGD based on Web of Science’s citation database from 1998–2019. With systematic bibliometric analysis, insights were made into multiple aspects including research output, subject categories, journals, countries/territories, institutions, authors, and hotspots and research trends. Results showed that the current amount of publications on SGD has increased exponentially. The characteristics of multi-subject, active international and inter-institutional collaborations were identified. There were 11 core journals publishing the research on SGD, and the number of covered journals increased linearly from 1998. USA had distinct advantages in publication outputs and took the core position in international collaborations. At present, the research hotspots of SGD mainly include the following: dynamics process and estimation of SGD with hydrogeological methods, tracer techniques, geochemical process in subterranean estuary, and dissolved material inputs to coastal waters via SGD. Citation analysis implied much development space in carbon flux transported by SGD and the implement of head as groundwater tracer. These results provided an instructive perspective of the present situation and future research direction on SGD.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:830-:d:314019
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/3/830/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/3/830/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ruifeng Gong & Jian Xue & Laijun Zhao & Oleksandra Zolotova & Xiaoqing Ji & Yan Xu, 2019. "A Bibliometric Analysis of Green Supply Chain Management Based on the Web of Science (WOS) Platform," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    2. Wenjie Zhang & Hongping Yuan, 2019. "A Bibliometric Analysis of Energy Performance Contracting Research from 2008 to 2018," Sustainability, MDPI, vol. 11(13), pages 1-23, June.
    3. 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.
    4. Qian Ma & Wenlan Li, 2018. "Growing scientific collaboration between Hong Kong and Mainland China since the handover: a 20-year bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1479-1491, December.
    5. Jiancheng Guan & Nan Ma, 2004. "A comparative study of research performance in computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 339-359, November.
    6. Guizhi Wang & Shuling Wang & Zhangyong Wang & Wenping Jing, 2018. "Significance of Submarine Groundwater Discharge in Nutrient Budgets in Tropical Sanya Bay, China," Sustainability, MDPI, vol. 10(2), pages 1-13, February.
    7. Jiang Tan & Hui-Zhen Fu & Yuh-Shan Ho, 2014. "A bibliometric analysis of research on proteomics in Science Citation Index Expanded," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1473-1490, February.
    8. 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.
    9. Waltman, Ludo & van Eck, Nees Jan & Noyons, Ed C.M., 2010. "A unified approach to mapping and clustering of bibliometric networks," Journal of Informetrics, Elsevier, vol. 4(4), pages 629-635.
    10. Yanhua Zhuang & Chao Du & Liang Zhang & Yun Du & Sisi Li, 2015. "Research trends and hotspots in soil erosion from 1932 to 2013: a literature review," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 743-758, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Eloy López-Meneses & Esteban Vázquez-Cano & Mariana-Daniela González-Zamar & Emilio Abad-Segura, 2020. "Socioeconomic Effects in Cyberbullying: Global Research Trends in the Educational Context," IJERPH, MDPI, vol. 17(12), pages 1-31, June.
    2. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    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. Hamdi A. Al-Jamimi & Galal M. BinMakhashen & Lutz Bornmann, 2022. "Use of bibliometrics for research evaluation in emerging markets economies: a review and discussion of bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5879-5930, October.
    5. Yanto Chandra, 2018. "Mapping the evolution of entrepreneurship as a field of research (1990–2013): A scientometric analysis," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-24, January.
    6. Lutz Bornmann & Robin Haunschild & Sven E. Hug, 2018. "Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 427-437, February.
    7. Balland, Pierre-Alexandre & Boschma, Ron, 2022. "Do scientific capabilities in specific domains matter for technological diversification in European regions?," Research Policy, Elsevier, vol. 51(10).
    8. Feng, Zongbao & Wu, Xianguo & Chen, Hongyu & Qin, Yawei & Zhang, Limao & Skibniewski, Miroslaw J., 2022. "An energy performance contracting parameter optimization method based on the response surface method: A case study of a metro in China," Energy, Elsevier, vol. 248(C).
    9. Núria Bautista-Puig & Daniela De Filippo & Elba Mauleón & Elías Sanz-Casado, 2019. "Scientific Landscape of Citizen Science Publications: Dynamics, Content and Presence in Social Media," Publications, MDPI, vol. 7(1), pages 1-22, February.
    10. Zhang, Yi & Huang, Ying & Porter, Alan L. & Zhang, Guangquan & Lu, Jie, 2019. "Discovering and forecasting interactions in big data research: A learning-enhanced bibliometric study," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 795-807.
    11. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
    12. Filippo Corsini & Rafael Laurenti & Franziska Meinherz & Francesco Paolo Appio & Luca Mora, 2019. "The Advent of Practice Theories in Research on Sustainable Consumption: Past, Current and Future Directions of the Field," Sustainability, MDPI, vol. 11(2), pages 1-19, January.
    13. Nina Sakinah Ahmad Rofaie & Seuk Wai Phoong & Muzalwana Abdul Talib & Ainin Sulaiman, 2023. "Light-emitting diode (LED) research: A bibliometric analysis during 2003–2018," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 173-191, February.
    14. María Pinto & Rosaura Fernández-Pascual & David Caballero-Mariscal & Dora Sales, 2020. "Information literacy trends in higher education (2006–2019): visualizing the emerging field of mobile information literacy," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1479-1510, August.
    15. Giovanni Matteo & Pierfrancesco Nardi & Stefano Grego & Caterina Guidi, 2018. "Bibliometric analysis of Climate Change Vulnerability Assessment research," Environment Systems and Decisions, Springer, vol. 38(4), pages 508-516, December.
    16. Ciarli, Tommaso & Ràfols, Ismael, 2019. "The relation between research priorities and societal demands: The case of rice," Research Policy, Elsevier, vol. 48(4), pages 949-967.
    17. Lin Zhang & Wenjing Zhao & Beibei Sun & Ying Huang & Wolfgang Glänzel, 2020. "How scientific research reacts to international public health emergencies: a global analysis of response patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 747-773, July.
    18. Loredana Canfora & Corrado Costa & Federico Pallottino & Stefano Mocali, 2021. "Trends in Soil Microbial Inoculants Research: A Science Mapping Approach to Unravel Strengths and Weaknesses of Their Application," Agriculture, MDPI, vol. 11(2), pages 1-21, February.
    19. Lilian Cervo Cabrera & Carlos Eduardo Caldarelli & Marcia Regina Gabardo Camara, 2020. "Mapping collaboration in international coffee certification research," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2597-2618, September.
    20. Giovanni Abramo & Ciriaco Andrea D'Angelo & Flavia Costa, 2012. "Identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2206-2222, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:830-:d:314019. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.