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Autonomous systems: A bibliometric and patent analysis

Author

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  • Youtie, Jan
  • Porter, Alan L.
  • Shapira, Philip
  • Woo, Seokkyun
  • Huang, Yayun

Abstract

This report examines Germany's research and patent position in four autonomous systems: smart homes, smart factories, autonomous vehicles (non-hostile environments), and autonomous vehicles in hostile environments. Bibliometric analysis of scholarly papers indexed in the Web of Science and patent analysis of documents in Patstat and Derwent Innovation Index (representing patents from more than 40 patent authorities worldwide) are conducted for all records published in the 2002 to 2017 (May) time period. [...]

Suggested Citation

  • Youtie, Jan & Porter, Alan L. & Shapira, Philip & Woo, Seokkyun & Huang, Yayun, 2017. "Autonomous systems: A bibliometric and patent analysis," Studien zum deutschen Innovationssystem 14-2018, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
    • Handle: RePEc:zbw:efisdi:142018
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    Cited by:

    1. Kwon, Seokbeom & Liu, Xiaoyu & Porter, Alan L. & Youtie, Jan, 2019. "Research addressing emerging technological ideas has greater scientific impact," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    2. Su, Yu-Shan & Huang, Hsini & Daim, Tugrul & Chien, Pan-Wei & Peng, Ru-Ling & Karaman Akgul, Arzu, 2023. "Assessing the technological trajectory of 5G-V2X autonomous driving inventions: Use of patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    3. Woo, Seokkyun & Youtie, Jan & Ott, Ingrid & Scheu, Fenja, 2021. "Understanding the long-term emergence of autonomous vehicles technologies," Technological Forecasting and Social Change, Elsevier, vol. 170(C).

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