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Mapping Technological Trajectories as Patent Citation Networks. A Study on the History of Fuel Cell Research


  • Verspagen, Bart



Technological change is argued to be taking place along ordered and selective pat-terns, shaped jointly by technological and scientific principles, and economic and other societal factors. Historical, descriptive analysis is often used to analyze these ''trajectories''. Recently, quantitative methods have been proposed to map these tra-jectories. It is argued that such methods have, so far, not been able to illuminate the engineering side of technological trajectories. In order to fill this gap, a methodology proposed by Hummon and Doreian (1989) is used and extended to undertake a cita-tion analysis of patents in the field of fuel cells.

Suggested Citation

  • Verspagen, Bart, 2005. "Mapping Technological Trajectories as Patent Citation Networks. A Study on the History of Fuel Cell Research," Research Memorandum 019, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
  • Handle: RePEc:unm:umamer:2005019

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    Cited by:

    1. Carolina Castaldi & Roberto Fontana & Alessandro Nuvolari, 2009. "‘Chariots of fire’: the evolution of tank technology, 1915–1945," Journal of Evolutionary Economics, Springer, vol. 19(4), pages 545-566, August.
    2. Fei Yuan & Kumiko Miyazaki, 2017. "Trajectory Identification as Proxies for Discerning the Dynamic Nature of Technological Change — The Case of Electric Vehicles Industry," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(01), pages 1-20, February.
    3. Woondong Yeo & Seonho Kim & Jae-Min Lee & Jaewoo Kang, 2014. "Aggregative and stochastic model of main path identification: a case study on graphene," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 633-655, January.
    4. Chandra, Praveena & Dong, Andy, 2018. "The relation between knowledge accumulation and technical value in interdisciplinary technologies," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 235-244.
    5. Palmberg, Christopher & Nikulainen, Tuomo, 2006. "Industrial Renewal and Growth through Nanotechnology ? - An Overview with Focus on Finland," Discussion Papers 1020, The Research Institute of the Finnish Economy.
    6. Saveria Capellari & Domenico Stefano, 2014. "University-owned and university-invented patents: a network analysis on two Italian universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 313-329, May.
    7. Chuang, Thomas C. & Liu, John S. & Lu, Louis Y.Y. & Lee, Yachi, 2014. "The main paths of medical tourism: From transplantation to beautification," Tourism Management, Elsevier, vol. 45(C), pages 49-58.
    8. Ciarli, Tommaso & Ràfols, Ismael, 2019. "The relation between research priorities and societal demands: The case of rice," Research Policy, Elsevier, vol. 48(4), pages 949-967.
    9. Junmo Kim & Juneseuk Shin, 2018. "Mapping extended technological trajectories: integration of main path, derivative paths, and technology junctures," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1439-1459, September.
    10. Mariani, Manuel Sebastian & Medo, Matúš & Lafond, François, 2019. "Early identification of important patents: Design and validation of citation network metrics," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 644-654.
    11. Andreas Reinstaller & Peter Reschenhofer, 2017. "Using PageRank in the analysis of technological progress through patents: an illustration for biotechnological inventions," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1407-1438, December.
    12. John S. Liu & Louis Y. Y. Lu & Mei Hsiu-Ching Ho, 2019. "A few notes on main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 379-391, April.
    13. Yan, Jianghui & Tseng, Fang-Mei & Lu, Louis Y.Y., 2018. "Developmental trajectories of new energy vehicle research in economic management: Main path analysis," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 168-181.
    14. Kuan, Chung-Huei & Huang, Mu-Hsuan & Chen, Dar-Zen, 2018. "Missing links: Timing characteristics and their implications for capturing contemporaneous technological developments," Journal of Informetrics, Elsevier, vol. 12(1), pages 259-270.
    15. Changbae Mun & Sejun Yoon & Hyunseok Park, 2019. "Structural decomposition of technological domain using patent co-classification and classification hierarchy," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 633-652, November.
    16. Hwang, Seonho & Shin, Juneseuk, 2019. "Extending technological trajectories to latest technological changes by overcoming time lags," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 142-153.
    17. Alessandro Caiani, 2017. "Innovation Dynamics and Industry Structure Under Different Technological Spaces," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 307-341, November.
    18. Jiaojiao Ji & George A. Barnett & Jianxun Chu, 2019. "Global networks of genetically modified crops technology: a patent citation network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 737-762, March.
    19. Chen, Kaihua & Zhang, Yi & Fu, Xiaolan, 2019. "International research collaboration: An emerging domain of innovation studies?," Research Policy, Elsevier, vol. 48(1), pages 149-168.

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