IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v105y2015i2d10.1007_s11192-015-1739-7.html
   My bibliography  Save this article

Bibliometric analysis of fracking scientific literature

Author

Listed:
  • Jie Li

    (School of Safety and Environmental Engineering
    Steinbeis Advanced Risk Technologies)

  • Aleksandar Jovanovic

    (School of Safety and Environmental Engineering
    Steinbeis Advanced Risk Technologies
    European Virtual Institute for Integrated Risk Management (EU-VRi)
    University of Stuttgart)

  • Peter Klimek

    (European Virtual Institute for Integrated Risk Management (EU-VRi)
    Medical University of Vienna)

  • Xiaohong Guo

    (School of Safety and Environmental Engineering)

Abstract

This study uses bibliometric methods to analyze the scientific literature of fracking. Web of Science database, including the Science Citation Index, Sciences Citation Index and Conference Proceedings Citation Index—Science were used to collect the data. The analysis done in the paper looks at the annual distribution of publications, countries, institutes, authors, journals and categories. Furthermore, key topics and highly-cited papers were analyzed. The results show that fracking as a new research term appears in the Web of Science records from 1953 and its presence in the Web of Science has been growing ever since, becoming a hot topic recently. The countries with most of the contributions have been USA, China and Canada, whereas the Russian Academy of Sciences, University of Oklahoma and Tohoku University were the three institutions with most publications in fracking research. The publications have been concentrated in several journals, led by the Journal of Petroleum Technology, Heфmянoe Xoзяйcmвo and International Journal of Rock Mechanics and Mining Sciences, and categorized mainly in geosciences multidisciplinary, Engineering Petroleum and Energy Fuels. The study has identified that terms of fracking can be divided into three main clusters, related to “drilling methods”, “exploitation/extraction process” and the “geoscience aspects”. The highly cited papers in the period 1953–2013 were collected and analyzed, in order to show the papers with highest impact in fracking area.

Suggested Citation

  • Jie Li & Aleksandar Jovanovic & Peter Klimek & Xiaohong Guo, 2015. "Bibliometric analysis of fracking scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1273-1284, November.
  • Handle: RePEc:spr:scient:v:105:y:2015:i:2:d:10.1007_s11192-015-1739-7
    DOI: 10.1007/s11192-015-1739-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-015-1739-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-015-1739-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. A.S. Jovanović & O. Renn, 2013. "Search for the 'European way' of taming the risks of new technologies: the EU research project iNTeg-Risk," Journal of Risk Research, Taylor & Francis Journals, vol. 16(3-4), pages 271-274, April.
    2. Garfield, Eugene, 2009. "From the science of science to Scientometrics visualizing the history of science with HistCite software," Journal of Informetrics, Elsevier, vol. 3(3), pages 173-179.
    3. Jun-Lin Ren & Peng-Hui Lyu & Xin-Mu Wu & Fei-Cheng Ma & Zhi-Zhang Wang & Gang Yang, 2013. "An Informetric Profile of Water Resources Management Literatures," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4679-4696, October.
    4. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    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. Gricelda Herrera-Franco & Néstor Montalván-Burbano & Paúl Carrión-Mero & María Jaya-Montalvo & Miguel Gurumendi-Noriega, 2021. "Worldwide Research on Geoparks through Bibliometric Analysis," Sustainability, MDPI, vol. 13(3), pages 1-32, January.
    2. Chukwuemeka Valentine Okolo & Jun Wen & Kibir Kolani, 2024. "Research Assessment on the Extreme Social Events in Africa—Evidence from a Bibliometric Analysis Using Web of Science and CiteSpace," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 11449-11494, September.
    3. Fernando Morante-Carballo & Néstor Montalván-Burbano & Paúl Carrión-Mero & Kelly Jácome-Francis, 2021. "Worldwide Research Analysis on Natural Zeolites as Environmental Remediation Materials," Sustainability, MDPI, vol. 13(11), pages 1-21, June.
    4. Talita Mariane Cristino & Antonio Faria Neto & Antonio Fernando Branco Costa, 2018. "Energy efficiency in buildings: analysis of scientific literature and identification of data analysis techniques from a bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1275-1326, March.

    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. Zhichao Wang & Valentin Zelenyuk, 2021. "Performance Analysis of Hospitals in Australia and its Peers: A Systematic Review," CEPA Working Papers Series WP012021, School of Economics, University of Queensland, Australia.
    2. Mehdi Toloo & Rouhollah Khodabandelou & Amar Oukil, 2022. "A Comprehensive Bibliometric Analysis of Fractional Programming (1965–2020)," Mathematics, MDPI, vol. 10(11), pages 1-21, May.
    3. Pan, Xuelian & Yan, Erjia & Cui, Ming & Hua, Weina, 2018. "Examining the usage, citation, and diffusion patterns of bibliometric mapping software: A comparative study of three tools," Journal of Informetrics, Elsevier, vol. 12(2), pages 481-493.
    4. Xiaoyan Pan & Hui Wang & Zan Ouyang & Zifan Song & Hongjin Long & Wang Luo, 2022. "Scientometric Analysis on Rice Research under Drought, Waterlogging or Abrupt Drought-Flood Alternation Stress," Agriculture, MDPI, vol. 12(9), pages 1-15, September.
    5. Bruno Miranda Henrique & Vinicius Amorim Sobreiro & Herbert Kimura, 2018. "Building direct citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 817-832, May.
    6. Vilker Zucolotto Pessin & Luciana Harue Yamane & Renato Ribeiro Siman, 2022. "Smart bibliometrics: an integrated method of science mapping and bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3695-3718, June.
    7. Tomaz Bartol & Gordana Budimir & Primoz Juznic & Karmen Stopar, 2016. "Mapping and classification of agriculture in Web of Science: other subject categories and research fields may benefit," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 979-996, November.
    8. Itsuki Kageyama & Karin Kurata & Shuto Miyashita & Yeongjoo Lim & Shintaro Sengoku & Kota Kodama, 2022. "A Bibliometric Analysis of Wearable Device Research Trends 2001–2022—A Study on the Reversal of Number of Publications and Research Trends in China and the USA," IJERPH, MDPI, vol. 19(24), pages 1-19, December.
    9. Satish Kumar & Riya Sureka & Sisira Colombage, 2020. "Capital structure of SMEs: a systematic literature review and bibliometric analysis," Management Review Quarterly, Springer, vol. 70(4), pages 535-565, November.
    10. Caixia Rong & Wenxue Fu, 2023. "A Comprehensive Review of Land Use and Land Cover Change Based on Knowledge Graph and Bibliometric Analyses," Land, MDPI, vol. 12(8), pages 1-22, August.
    11. van Eck, Nees Jan & Waltman, Ludo, 2014. "CitNetExplorer: A new software tool for analyzing and visualizing citation networks," Journal of Informetrics, Elsevier, vol. 8(4), pages 802-823.
    12. Rui-Liang Wang & Tzu-Fan Hsu & Chen-Zhong Hu, 2021. "A Bibliometric Study of Research Topics and Sustainability of Packaging in the Greater China Region," Sustainability, MDPI, vol. 13(10), pages 1-19, May.
    13. Tianjiao Li & Qiong Chen & Yongtao Xi & Yui-Yip Lau, 2023. "A 40-Year Bibliometric Analysis of Maritime English Research: Insights and Implications," Sustainability, MDPI, vol. 15(5), pages 1-15, February.
    14. Baoyi Zhang, 2024. "Research progress and intellectual structure of design for digital equity (DDE): A bibliometric analysis based on citespace," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.
    15. Jiaojiao Yang & Ting Wang & Yujie Hu & Qiyun Deng & Shu Mo, 2023. "Comparative Analysis of Research Trends and Hotspots of Foreign and Chinese Building Carbon Emissions Based on Bibliometrics," Sustainability, MDPI, vol. 15(13), pages 1-24, June.
    16. 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.
    17. Hiran H. Lathabai & Thara Prabhakaran & Manoj Changat, 2017. "Contextual productivity assessment of authors and journals: a network scientometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 711-737, February.
    18. Peter Wittek & Sándor Darányi & Gustaf Nelhans, 2017. "Ruling out static latent homophily in citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 765-777, February.
    19. Boubaker, Sabri & Goodell, John W. & Kumar, Satish & Sureka, Riya, 2023. "COVID-19 and finance scholarship: A systematic and bibliometric analysis," International Review of Financial Analysis, Elsevier, vol. 85(C).
    20. Mariana-Daniela González-Zamar & Emilio Abad-Segura, 2021. "Emotional Creativity in Art Education: An Exploratory Analysis and Research Trends," IJERPH, MDPI, vol. 18(12), pages 1-20, June.

    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:spr:scient:v:105:y:2015:i:2:d:10.1007_s11192-015-1739-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.