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Renewable energy research 1995–2009: a case study of wind power research in EU, Spain, Germany and Denmark

Author

Listed:
  • Elias Sanz-Casado

    (Universidad Carlos III de Madrid)

  • J. Carlos Garcia-Zorita

    (Universidad Carlos III de Madrid)

  • Antonio Eleazar Serrano-López

    (Universidad Carlos III de Madrid)

  • Birger Larsen

    (Royal School of Library and Information Science)

  • Peter Ingwersen

    (Universidad Carlos III de Madrid
    Oslo University College
    Royal School of Library and Information Science)

Abstract

The paper reports the developments and citation patterns over three time periods of research on Renewable Energy generation and Wind Power 1995–2011 in EU, Spain, Germany and Denmark. Analyses are based on Web of Science and incorporate journal articles as well as conference proceeding papers. Scientometric indicators include publication collaboration ratios, top-player distribution as well as citedness and correspondence analyses of citing publications, relative citation impact, distributions of top-cited as well as top-citing institutions and publication sources and cluster analysis of citing title terms to map knowledge export areas. Findings show an increase in citation impact for Renewable Energy and Wind Power research albeit hampered by scarcely cited conference papers. Although EU maintains its global top position in producing Renewable Energy and Wind Power research the developments of EU and German world shares as well as citation impact are negative during the most recent 7 year period. During the same time the citation impact of Spain and Denmark increase and place both nations among the top-ranking countries in Wind Power research. Spain is the only EU country that increases its world production share from 2000. China is currently ranked three after EU and USA in research output, however with a very low citation impact. Spain, Denmark and Germany each demonstrates distinct collaboration patterns and publication source and citation distribution profiles. More than half the citations to EU Wind Power research are EU-self citations. An expected intensified EU collaboration in the Wind Energy field does not come about. The most productive research institutions in Denmark and Spain are also the most cited ones.

Suggested Citation

  • Elias Sanz-Casado & J. Carlos Garcia-Zorita & Antonio Eleazar Serrano-López & Birger Larsen & Peter Ingwersen, 2013. "Renewable energy research 1995–2009: a case study of wind power research in EU, Spain, Germany and Denmark," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 197-224, April.
  • Handle: RePEc:spr:scient:v:95:y:2013:i:1:d:10.1007_s11192-012-0825-3
    DOI: 10.1007/s11192-012-0825-3
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    References listed on IDEAS

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    1. Kaldellis, John K. & Zafirakis, D., 2011. "The wind energy (r)evolution: A short review of a long history," Renewable Energy, Elsevier, vol. 36(7), pages 1887-1901.
    2. Nick Johnstone & Ivan Haščič & David Popp, 2010. "Renewable Energy Policies and Technological Innovation: Evidence Based on Patent Counts," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(1), pages 133-155, January.
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    Cited by:

    1. Antonio Eleazar Serrano-López & Peter Ingwersen & Elias Sanz-Casado, 2017. "Wind power research in Wikipedia: Does Wikipedia demonstrate direct influence of research publications and can it be used as adequate source in research evaluation?," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1471-1488, September.
    2. Weishu Liu & Mengdi Gu & Guangyuan Hu & Chao Li & Huchang Liao & Li Tang & Philip Shapira, 2014. "Profile of developments in biomass-based bioenergy research: a 20-year perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 507-521, May.
    3. Shanwu Tian & Xiurui Xu & Ping Li, 2021. "Acknowledgement network and citation count: the moderating role of collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7837-7857, September.
    4. Xiaofeng Xu & Santonu Goswami & Jay Gulledge & Stan D. Wullschleger & Peter E. Thornton, 2016. "Interdisciplinary research in climate and energy sciences," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(1), pages 49-56, January.
    5. Nicholas V. Olijnyk, 2015. "A quantitative examination of the intellectual profile and evolution of information security from 1965 to 2015," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 883-904, November.
    6. Guan, Jiancheng & Yan, Yan & Zhang, Jing Jing, 2017. "The impact of collaboration and knowledge networks on citations," Journal of Informetrics, Elsevier, vol. 11(2), pages 407-422.
    7. JingJing Zhang & Jiancheng Guan, 2017. "Scientific relatedness and intellectual base: a citation analysis of un-cited and highly-cited papers in the solar energy field," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 141-162, January.
    8. Yan Yan & Shanwu Tian & Jingjing Zhang, 2020. "The impact of a paper’s new combinations and new components on its citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 895-913, February.
    9. Peter Ingwersen & Birger Larsen & J. Carlos Garcia-Zorita & Antonio Eleazar Serrano-López & Elias Sanz-Casado, 2014. "Influence of proceedings papers on citation impact in seven sub-fields of sustainable energy research 2005–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1273-1292, November.
    10. Jiancheng Guan & Yan Yan & Jingjing Zhang, 2015. "How do collaborative features affect scientific output? Evidences from wind power field," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 333-355, January.
    11. Fan, Xiao-chao & Wang, Wei-qing & Shi, Rui-jing & Li, Feng-ting, 2015. "Review of developments and insights into an index system of wind power utilization level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 463-471.
    12. 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.

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