Measuring knowledge persistence: a genetic approach to patent citation networks
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DOI: 10.1007/s00191-014-0349-5
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- Xu, Haiyun & Winnink, Jos & Yue, Zenghui & Liu, Ziqiang & Yuan, Guoting, 2020. "Topic-linked innovation paths in science and technology," Journal of Informetrics, Elsevier, vol. 14(2).
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- Michalis E. Papazoglou, 2022. "Organizational knowledge actions and the evolution of knowledge environment: a micro-foundations perspective," Evolutionary and Institutional Economics Review, Springer, vol. 19(2), pages 611-624, September.
- Triulzi, Giorgio & Alstott, Jeff & Magee, Christopher L., 2020. "Estimating technology performance improvement rates by mining patent data," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
- Christopher R. Esposito, 2020. "The Emergence of Knowledge Production in New Places," Papers in Evolutionary Economic Geography (PEEG) 2046, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2020.
- Hiran H. Lathabai & Susan George & Thara Prabhakaran & Manoj Changat, 2018. "An integrated approach to path analysis for weighted citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1871-1904, December.
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- Feng, Sida & Magee, Christopher L., 2020. "Technological development of key domains in electric vehicles: Improvement rates, technology trajectories and key assignees," Applied Energy, Elsevier, vol. 260(C).
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- Yoonki Rhee & Sejun Yoon & Hyunseok Park, 2022. "Exploring Knowledge Trajectories of Accounting Information Systems Using Business Method Patents and Knowledge Persistence-Based Main Path Analysis," Mathematics, MDPI, vol. 10(18), pages 1-22, September.
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Keywords
Patent data; Patent citation network; Technology dynamics; Telecommunication manufacturing industry; 030; 031;All these keywords.
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