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Phases of growth in a green tech research network: a bibliometric evaluation of fuel cell technology from 1991 to 2010

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  • Arho Suominen

    (VTT Technical Research Centre of Finland)

Abstract

This study uncovers the evolution of a fuel cell research network through a bibliometric study focusing on a period from 1991 to 2010. From a dataset of 37,435 research articles, the study focuses on the evolution of fuel cell research networks at a national level. Focusing solely on the expansion of the research networks, and the policies effecting collaboration, the paper poses three research questions (1) Is research into fuel cells more unconcentrated than in science overall and if so, (2) is there changes within time and (3) can we identify a cluster among certain countries. To answer the research questions, the data was compared to findings on the overall scientific output worldwide. In addition, an ego network analysis was performed and a modularity algorithm was used in order to identify clusters from the network data. The study showed that fuel cell research co-operation has had a distinct evolution within the time frame of the study. Research has increased in both volume and in co-operation, but research co-operation is more unconcentrated than in science overall. Non-TRIAD countries have a stronger role in fuel cell research than in science overall. Clusters in research co-operation have evolved into two modes of co-operation—one around Asia and North America and the second around European co-operation with US and Asia.

Suggested Citation

  • Arho Suominen, 2014. "Phases of growth in a green tech research network: a bibliometric evaluation of fuel cell technology from 1991 to 2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 51-72, July.
    • Handle: RePEc:spr:scient:v:100:y:2014:i:1:d:10.1007_s11192-014-1285-8
    DOI: 10.1007/s11192-014-1285-8
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    References listed on IDEAS

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    Cited by:

    1. Takaya Ogawa & Mizutomo Takeuchi & Yuya Kajikawa, 2018. "Analysis of Trends and Emerging Technologies in Water Electrolysis Research Based on a Computational Method: A Comparison with Fuel Cell Research," Sustainability, MDPI, vol. 10(2), pages 1-24, February.
    2. Blandy Pamplona Solis & Julio César Cruz Argüello & Leopoldo Gómez Barba & Mayra Polett Gurrola & Zakaryaa Zarhri & Danna Lizeth TrejoArroyo, 2019. "Bibliometric Analysis of the Mass Transport in a Gas Diffusion Layer in PEM Fuel Cells," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
    3. Suominen, Arho & Peng, Haoshu & Ranaei, Samira, 2019. "Examining the dynamics of an emerging research network using the case of triboelectric nanogenerators," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 820-830.
    4. Graf, Holger & Kalthaus, Martin, 2018. "International research networks: Determinants of country embeddedness," Research Policy, Elsevier, vol. 47(7), pages 1198-1214.
    5. Xuan Shi & Lingfei Cai & Junzhi Jia, 2018. "The Evolution of International Scientific Collaboration in Fuel Cells during 1998–2017: A Social Network Perspective," Sustainability, MDPI, vol. 10(12), pages 1-20, December.
    6. Blanca De-Miguel-Molina & Scott W. Cunningham & Fernando Palop, 2017. "Analyzing Funding Patterns and Their Evolution in Two Medical Research Topics," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(02), pages 1-39, April.
    7. Asna Ashari, Parsa & Blind, Knut & Koch, Claudia, 2023. "Knowledge and technology transfer via publications, patents, standards: Exploring the hydrogen technological innovation system," Technological Forecasting and Social Change, Elsevier, vol. 187(C).

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