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Measuring international knowledge flows and scholarly impact of scientific research

Author

Listed:
  • Saeed-Ul Hassan

    (Asian Institute of Technology (AIT))

  • Peter Haddawy

    (United Nations University, International Institute for Software Technology (UNU-IIST))

Abstract

We introduce a new quantitative measure of international scholarly impact of countries by using bibliometric techniques based on publication and citation data. We present a case study to illustrate the use of our proposed measure in the subject area Energy during 1996–2009. We also present geographical maps to visualize knowledge flows among countries. Finally, using correlation analysis between publication output and international scholarly impact, we study the explanatory power of the applied measure.

Suggested Citation

  • Saeed-Ul Hassan & Peter Haddawy, 2013. "Measuring international knowledge flows and scholarly impact of scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 163-179, January.
    • Handle: RePEc:spr:scient:v:94:y:2013:i:1:d:10.1007_s11192-012-0786-6
    DOI: 10.1007/s11192-012-0786-6
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    References listed on IDEAS

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    Cited by:

    1. Sameer Kumar & Jariah Mohd. Jan, 2014. "Research collaboration networks of two OIC nations: comparative study between Turkey and Malaysia in the field of ‘Energy Fuels’, 2009–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 387-414, January.
    2. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Di Costa, Flavia, 2021. "On the relation between the degree of internationalization of cited and citing publications: A field level analysis, including and excluding self-citations," Journal of Informetrics, Elsevier, vol. 15(1).
    3. Jia Zhu & Saeed-Ul Hassan & Hamid Turab Mirza & Qing Xie, 2014. "Measuring recent research performance for Chinese universities using bibliometric methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 429-443, October.
    4. Meijun Liu & Xiao Hu & Jiang Li, 2018. "Knowledge flow in China’s humanities and social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 607-626, March.
    5. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Carloni, Massimiliano, 2019. "The balance of knowledge flows," Journal of Informetrics, Elsevier, vol. 13(1), pages 1-9.
    6. Bei Zeng & Haihua Lyu & Zhenyue Zhao & Jiang Li, 2021. "Exploring the direction and diversity of interdisciplinary knowledge diffusion: A case study of professor Zeyuan Liu's scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6253-6272, July.
    7. Guijie Zhang & Luning Liu & Fangfang Wei, 2019. "Key nodes mining in the inventor–author knowledge diffusion network," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 721-735, March.
    8. Jingjing Zhang & Yan Yan & Jiancheng Guan, 2015. "Scientific relatedness in solar energy: a comparative study between the USA and China," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1595-1613, February.
    9. Chunpei Lin & Baixun Li & Yenchun Jim Wu, 2018. "Existing Knowledge Assets and Disruptive Innovation: The Role of Knowledge Embeddedness and Specificity," Sustainability, MDPI, vol. 10(2), pages 1-15, January.
    10. Saeed-Ul Hassan & Naif R. Aljohani & Mudassir Shabbir & Umair Ali & Sehrish Iqbal & Raheem Sarwar & Eugenio Martínez-Cámara & Sebastián Ventura & Francisco Herrera, 2020. "Tweet Coupling: a social media methodology for clustering scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 973-991, August.
    11. Saeed-Ul Hassan & Peter Haddawy, 2015. "Analyzing knowledge flows of scientific literature through semantic links: a case study in the field of energy," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 33-46, April.
    12. Bornmann, Lutz & Adams, Jonathan & Leydesdorff, Loet, 2018. "The negative effects of citing with a national orientation in terms of recognition: National and international citations in natural-sciences papers from Germany, the Netherlands, and the UK," Journal of Informetrics, Elsevier, vol. 12(3), pages 931-949.
    13. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2018. "Who benefits from a country’s scientific research?," Journal of Informetrics, Elsevier, vol. 12(1), pages 249-258.
    14. Saeed-Ul Hassan & Iqra Safder & Anam Akram & Faisal Kamiran, 2018. "A novel machine-learning approach to measuring scientific knowledge flows using citation context analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 973-996, August.
    15. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2020. "The domestic localization of knowledge flows as evidenced by publication citation: the case of Italy," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1305-1329, November.
    16. Streltsova, E., 2022. "Global flows of technological knowledge: The position of Russia," Journal of the New Economic Association, New Economic Association, vol. 57(5), pages 39-54.
    17. Xi Zhang & Xianhai Wang & Hongke Zhao & Patricia Ordóñez de Pablos & Yongqiang Sun & Hui Xiong, 2019. "An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1311-1344, June.
    18. Valeria Aman, 2022. "Internationally mobile scientists as knowledge transmitters: A lexical‐based approach to detect knowledge transfer," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(10), pages 1418-1431, October.
    19. Naif Radi Aljohani & Ayman Fayoumi & Saeed-Ul Hassan, 2021. "An in-text citation classification predictive model for a scholarly search system," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5509-5529, July.

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