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Knowledge network hubs and measures of research impact, science structure, and publication output in nanostructured solar cell research

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  • Katarina Larsen

    (KTH — The Royal Institute of Technology)

Abstract

This study on co-authorship networks in the area of nanostructured solar cells aims to contribute to a further understanding of the use of research evaluation measures of science output, impact and structure in an emerging research field. The study incorporates quantitative bibliometric methods of analysis and social network analysis in combination with a qualitative case study research approach. Conclusions drawn from the results emphasise, firstly, the importance of distinguishing between early and later phases of the evolution of a novel research field, and secondly, the application of a systemic view on learning processes and knowledge diffusion in a science-based technology field.

Suggested Citation

  • Katarina Larsen, 2008. "Knowledge network hubs and measures of research impact, science structure, and publication output in nanostructured solar cell research," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(1), pages 123-142, January.
    • Handle: RePEc:spr:scient:v:74:y:2008:i:1:d:10.1007_s11192-008-0107-2
    DOI: 10.1007/s11192-008-0107-2
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    References listed on IDEAS

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    Cited by:

    1. Mu-Hsuan Huang & Huei-Ru Dong & Dar-Zen Chen, 2013. "The unbalanced performance and regional differences in scientific and technological collaboration in the field of solar cells," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 423-438, January.
    2. Yan Yan & Jiancheng Guan, 2018. "How multiple networks help in creating knowledge: evidence from alternative energy patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 51-77, April.
    3. Yu-Chun Chen & Hsiao-Yun Yeh & Jau-Ching Wu & Ingo Haschler & Tzeng-Ji Chen & Thomas Wetter, 2011. "Taiwan’s National Health Insurance Research Database: administrative health care database as study object in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 365-380, February.
    4. Alfonso Ávila-Robinson & Kumiko Miyazaki, 2013. "Evolutionary paths of change of emerging nanotechnological innovation systems: the case of ZnO nanostructures," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 829-849, June.
    5. Sanz-Casado, Elias & Lascurain-Sánchez, Maria Luisa & Serrano-Lopez, Antonio Eleazar & Larsen, Birger & Ingwersen, Peter, 2014. "Production, consumption and research on solar energy: The Spanish and German case," Renewable Energy, Elsevier, vol. 68(C), pages 733-744.
    6. Ba, Zhichao & Liang, Zhentao, 2021. "A novel approach to measuring science-technology linkage: From the perspective of knowledge network coupling," Journal of Informetrics, Elsevier, vol. 15(3).
    7. Yanqing Shi & Si Chen & Lele Kang, 2021. "Which questions are valuable in online Q&A communities? A question’s position in a knowledge network matters," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8239-8258, October.

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