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Measuring technological distance for patent mapping

Citations

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Cited by:

  1. Bao, Yuting & Pan, Tianxing, 2025. "Close to star organizations promotes exploratory innovation for latecomers," Journal of Business Research, Elsevier, vol. 201(C).
  2. Xipeng Liu & Xinmiao Li & Jinpeng Liu & Ping Zhang, 2025. "A novel unsupervised learning framework for measuring the technological innovation of patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(8), pages 4187-4219, August.
  3. Dalziel, Margaret & Basir, Nada, 2024. "The technological imprinting of educational experiences on student startups," Research Policy, Elsevier, vol. 53(2).
  4. Pezzoni, Michele & Veugelers, Reinhilde & Visentin, Fabiana, 2022. "How fast is this novel technology going to be a hit? Antecedents predicting follow-on inventions," Research Policy, Elsevier, vol. 51(3).
  5. Jee, Su Jung & Srivastav, Sugandha, 2024. "Knowledge spillovers between clean and dirty technologies: Evidence from the patent citation network," Ecological Economics, Elsevier, vol. 224(C).
  6. Fusillo, Fabrizio, 2020. "Are Green Inventions really more complex? Evidence from European Patents," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202015, University of Turin.
  7. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
  8. Stefano Basilico & Holger Graf, 2023. "Bridging technologies in the regional knowledge space: measurement and evolution," Journal of Evolutionary Economics, Springer, vol. 33(4), pages 1085-1124, September.
  9. Guangtong Li & L. Siddharth & Jianxi Luo, 2023. "Embedding knowledge graph of patent metadata to measure knowledge proximity," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(4), pages 476-490, April.
  10. Haucap, Justus & Stiebale, Joel, 2023. "Non-price effects of mergers and acquisitions," DICE Discussion Papers 402, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  11. Mun, Changbae & Yoon, Sejun & Raghavan, Nagarajan & Hwang, Dongwook & Basnet, Subarna & Park, Hyunseok, 2021. "Function score-based technological trend analysis," Technovation, Elsevier, vol. 101(C).
  12. Higham, Kyle & Contisciani, Martina & De Bacco, Caterina, 2022. "Multilayer patent citation networks: A comprehensive analytical framework for studying explicit technological relationships," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
  13. Hofmann, Peter & Keller, Robert & Urbach, Nils, 2019. "Inter-technology relationship networks: Arranging technologies through text mining," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 202-213.
  14. Artur F. Tomeczek, 2025. "Innovative activities of Activision Blizzard: A patent network analysis," Papers 2502.02259, arXiv.org, revised Dec 2025.
  15. Lin, Kexin & Hu, Beibei & Li, Zixun & Bu, Yi & Dong, Xianlei, 2025. "Knowledge substitutability and complementarity in scientific collaboration," Journal of Informetrics, Elsevier, vol. 19(1).
  16. Enrico Bergamini & Georg Zachmann, 2020. "Exploring EU’s Regional Potential in Low-Carbon Technologies," Sustainability, MDPI, vol. 13(1), pages 1-28, December.
  17. Shu-Hao Chang, 2024. "International Technology Market Hotspots and Development Trends from the Perspective of Inventor Mobility," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 2361-2382, March.
  18. Ascione, Grazia Sveva, 2023. "Technological diversity to address complex challenges: the contribution of American universities to sdgs," MPRA Paper 119452, University Library of Munich, Germany.
  19. Hain, Daniel S. & Jurowetzki, Roman & Buchmann, Tobias & Wolf, Patrick, 2022. "A text-embedding-based approach to measuring patent-to-patent technological similarity," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
  20. Edoardo Filippi-Mazzola & Federica Bianchi & Ernst C Wit, 2023. "Drivers of the decrease of patent similarities from 1976 to 2021," PLOS ONE, Public Library of Science, vol. 18(3), pages 1-13, March.
  21. Jinyoung Kim & Kanghyock Koh, 2023. "Jack of fewer trades: Evolution of specialization in research," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(2), pages 423-452, May.
  22. Diemer, Andreas & Regan, Tanner, 2022. "No inventor is an island: Social connectedness and the geography of knowledge flows in the US," Research Policy, Elsevier, vol. 51(2).
  23. Hoyoon Lee & Dawoon Jeong & Jeong-Dong Lee, 2023. "Drivers of institutional evolution: phylogenetic inertia and ecological pressure," Journal of Evolutionary Economics, Springer, vol. 33(2), pages 279-308, April.
  24. Eum, Wonsub & Lee, Jeong-Dong, 2019. "Role of production in fostering innovation," Technovation, Elsevier, vol. 84, pages 1-10.
  25. Choi, Seokkyu & Lee, Hyeonju & Park, Eunjeong & Choi, Sungchul, 2022. "Deep learning for patent landscaping using transformer and graph embedding," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  26. Nomaler, Önder & Verspagen, Bart, 2021. "Patent landscaping using 'green' technological trajectories," MERIT Working Papers 2021-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
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