Mapping Scientific and Technological Patterns: Hybrid Vehicles

  • Izaskun Alvarez-MeazaEmail author
  • Enara Zarrabeitia-Bilbao
  • Rosa Maria Rio-Belver
  • Itziar Martinez de Alegría
Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 280)


The hybrid vehicle is a key technology in reducing greenhouse gas emissions in road transport, improving long-term environmental sustainability. The aim of this paper was to evaluate the research status of Hybrid vehicles and identify its industrial and commercial impact. Visualizations have been made from data from WOS (1900–2017) that allow us to understand the field of research of hybrid vehicles. The relationships between main institutions, relevant authors and keywords have been analyzed. Moreover, a very innovative contribution is the analysis of web indicators to quantify the industrial impact of the research. Global results show that hybrid vehicle is rapidly obtaining attention in scientific production. The research concentration is mainly in USA and China, as well as the institutions with more publications. In addition, those institutions are the ones that collaborate the most. The intellectual landscape is formed by very general terms such as electric vehicle and hybrid vehicle, but fields related to battery, energy management, optimization and design, among others, are also being studied. Regarding industrial and commercial impact, the impact on the market of USA scientific research is higher.


Hybrid vehicle Scientometric Visualization Web indicators Networks 


  1. 1.
    EEA: Key trends and drivers in greenhouse gas emissions in the EU in 2015 and over the past 25 years (2017)Google Scholar
  2. 2.
    Canals, L., Martinez-Laserna, E., Amante, B.: Sustainability analysis of the electric vehicle use in Europe for CO2 emissions reduction. J. Clean. Prod. 127, 425–437 (2016). Scholar
  3. 3.
    Nanaki, E.A., Koroneos, C.J.: Comparative economic and environmental analysis of conventional, hybrid and electric vehicles: the case study of Greece. J. Clean. Prod. 53, 261–266 (2013). Scholar
  4. 4.
    Chan, C.C.: The state of the art of electric and hybrid vehicles. Proc. IEEE 90(2), 247–275 (2002). Scholar
  5. 5.
    Chan, C.C.: The state of art of electric, hybrid, and fuel cell vehicles. Proc. IEEE 95(4), 704–718 (2007). Scholar
  6. 6.
    Technavio: Global hybrid electric vehicle market 2016-2020. Automotive Manufacturing Report, 1–93 (2016)Google Scholar
  7. 7.
    Hu, Y., Sun, J., Li, W., et al.: A scientometric study of electric vehicle research. Scientometrics 98, 1269–1282 (2014). Scholar
  8. 8.
    Thelwall, M.: Web Indicators for Research Evaluation: A Practical Guide. Synthesis Lectures on Information Concepts, Retrieval, and Services (Marchionini, G. (ed.)). Morgan and Claypool Publishers, San Rafael (2016)Google Scholar
  9. 9.
    Filser, L.D., da Silva, F.F., de Oliveira, O.J.: State of research and future research tendencies in lean healthcare: a bibliometric analysis. Scientometrics 112(2), 799–816 (2017). Scholar
  10. 10.
    Leydesdorff, L.: The Challenge of Scientometric: The Development, Measurement and Self-Organization of Scientific Communications. Universal-Publishers, Parkland (2001)Google Scholar
  11. 11.
    Chen, C.: Citespace II: detecting and visualizing emerging trends and transient patterns in scientific literature. J. Am. Soc. Inf. Sci. Technol. 57(3), 359–377 (2006). Scholar
  12. 12.
    OECD: OECD patent statistics manual (2009)Google Scholar
  13. 13.
    Griliches, Z.: Patent statistics as economic indicators: a survey. J. Econ. Lit. 28, 1661–1707 (1990)Google Scholar
  14. 14.
    Yeh, H.Y., Sung, Y.S., Yang, H.W., et al.: The bibliographic coupling approach to filter the cited and uncited patent citations: a case of electric vehicle technology. Scientometrics 94, 75–93 (2013). Scholar
  15. 15.
    Rodriguez-Salvador, M., Rio-Belver, R.M., Garechana-Anacabe, G.: Scientometric and patentometric analyses to determine the knowledge landscape in innovative technologies: the case of 3D bioprinting. PLoS ONE 12(6), 1–22 (2017). Scholar
  16. 16.
    GridLogics: Technology insight report: hybrid vehicles (2012)Google Scholar
  17. 17.
    Chen, C., Dubin, R., Schultz, T.: Science mapping. In: Khsrow-Pour, M. (ed.) Encyclopedia of Information Science and Technology, pp. 4171–4184. IGI Global, New York (2014)Google Scholar
  18. 18.
    Jin, Y., Ji, S., Li, X., Yu, J.: A scientometric review of hotspots and emerging trends in additive manufacturing. J. Manuf. Technol. Manag. 28(1), 18–38 (2017). Scholar
  19. 19.
    Zhang, J., Yu, Q., Zheng, F., et al.: Comparing keywords Plus of WoS and Author keywords: a case study of patient adherence research. J. Assoc. Inf. Sci. Technol. 67(4), 967–972 (2016). Scholar
  20. 20.
    Garfield, E.: KeyWords Plus: ISI’s breakthrough retrieval method. Part 1. Expanding your searching power on current contents on diskette. Essays Inf. Sci. 13(32), 295–298 (1990)Google Scholar
  21. 21.
    Garfield, E., Sher, I.H.: Keywords PlusTM algorithmic derivative indexing. J. Am. Soc. Inf. Sci. Technol. 44(5), 298–299 (1993)CrossRefGoogle Scholar
  22. 22.
    Thelwall, M.: Introduction to webometric analyst 2.0: a research tool for social scientists (2009)Google Scholar
  23. 23.
    OECD/IEA: Global EV outlook 2017 (2017)Google Scholar
  24. 24.
    Tsinghua University: General information. Accessed 25 April 2018

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Izaskun Alvarez-Meaza
    • 1
    Email author
  • Enara Zarrabeitia-Bilbao
    • 1
  • Rosa Maria Rio-Belver
    • 1
  • Itziar Martinez de Alegría
    • 1
  1. 1.Technology, Foresight and Management Research Group, Department of Industrial EngineeringUniversity of the Basque Country UPV/EHUBilbaoSpain

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