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Mapping past, current and future energy research trend in Pakistan: a scientometric assessment

Author

Listed:
  • Muhammad Farooq

    (University of Engineering and Technology Lahore)

  • Muhammad Asim

    (University of Management and Technology (UMT)
    City University of Hong Kong)

  • Muhammad Imran

    (University of Management and Technology (UMT))

  • Shahid Imran

    (University of Engineering and Technology Lahore)

  • Jameel Ahmad

    (University of Management and Technology (UMT))

  • Muhammad Rizwan Younis

    (University of Management and Technology (UMT))

Abstract

This work describes the contribution of researchers in the field of the energy from Pakistan in the period 1990–2016. A scientometric approach was applied to analyze the scientific publications in the field using the Scopus Elsevier database. Different aspects of the publications were analyzed, such as publication type, major research areas, journals, citations, authorship pattern, affiliations as well as the keyword occurrence frequency. The present research trends are analyzed and future research directions are outlined. The impact factor, h-index and number of citations were used to investigate the strength of active institutes, authors, and journals in the field of the energy in Pakistan. From 1990 to 2016, 991 articles have been published by 2139 authors from 213 research institutes. The total number of citations and impact factor are 10,287 and 2301 respectively, corresponding to 10 citations per paper and an impact factor of 2.32 per publication. The research articles originate primarily from COMSATS, NUST, PIEAS, and PINSTECH. Pakistan has published 60% of publication with the collaboration of the foreign institutes, mainly from the United States, the United Kingdom, China and Malaysia. The core research activities in the field are mainly focused on resource assessment, energy policy, energy efficiency, feasibility study, energy economics, and performance assessment. The most productive journal, author, institution, are renewable & sustainable energy review, Shahbaz M., and COMSATS, respectively.

Suggested Citation

  • Muhammad Farooq & Muhammad Asim & Muhammad Imran & Shahid Imran & Jameel Ahmad & Muhammad Rizwan Younis, 2018. "Mapping past, current and future energy research trend in Pakistan: a scientometric assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1733-1753, December.
  • Handle: RePEc:spr:scient:v:117:y:2018:i:3:d:10.1007_s11192-018-2939-8
    DOI: 10.1007/s11192-018-2939-8
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    References listed on IDEAS

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    3. 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.
    4. Haoye Sun & Thorsten Teichert, 2024. "Scarcity in today´s consumer markets: scoping the research landscape by author keywords," Management Review Quarterly, Springer, vol. 74(1), pages 93-120, February.
    5. Luqman Razzaq & Muhammad Farooq & M. A. Mujtaba & Farooq Sher & Muhammad Farhan & Muhammad Tahir Hassan & Manzoore Elahi M. Soudagar & A. E. Atabani & M. A. Kalam & Muhammad Imran, 2020. "Modeling Viscosity and Density of Ethanol-Diesel-Biodiesel Ternary Blends for Sustainable Environment," Sustainability, MDPI, vol. 12(12), pages 1-20, June.
    6. Davood Askarany & Hassan Yazdifar & Kevin Dow, 2021. "B2B Networking, Renewable Energy, and Sustainability," JRFM, MDPI, vol. 14(7), pages 1-13, June.
    7. Ivone de Bem Oliveira & Rhewter Nunes & Lucia Mattiello & Stela Barros-Ribeiro & Isabela Pavanelli Souza & Alexandre Siqueira Guedes Coelho & Rosane Garcia Collevatti, 2019. "Research and partnership in studies of sugarcane using molecular markers: a scientometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 335-355, April.
    8. Lu, Wei & Liu, Zhifeng & Huang, Yong & Bu, Yi & Li, Xin & Cheng, Qikai, 2020. "How do authors select keywords? A preliminary study of author keyword selection behavior," Journal of Informetrics, Elsevier, vol. 14(4).
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