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Patent Quality: Towards a Systematic Framework for Analysis and Measurement

Citations

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Cited by:

  1. Wang, Xue & Fan, Li-Wei & Zhang, Hongyan, 2023. "Policies for enhancing patent quality: Evidence from renewable energy technology in China," Energy Policy, Elsevier, vol. 180(C).
  2. Büttner, Benjamin & Firat, Murat & Raiteri, Emilio, 2022. "Patents and knowledge diffusion," Research Policy, Elsevier, vol. 51(10).
  3. Fabian Gaessler & Dietmar Harhoff & Stefan Sorg & Georg von Graevenitz, 2024. "Patents, Freedom to Operate, and Follow-on Innovation: Evidence from Post-Grant Opposition," Rationality and Competition Discussion Paper Series 494, CRC TRR 190 Rationality and Competition.
  4. Krzysztof Klincewicz & Szymon Szumiał, 2022. "Successful patenting—not only how, but with whom: the importance of patent attorneys," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5111-5137, September.
  5. Wei Du & Yibo Wang & Wei Xu & Jian Ma, 2021. "A personalized recommendation system for high-quality patent trading by leveraging hybrid patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9369-9391, December.
  6. Heikkilä, Jussi T.S. & Peltoniemi, Mirva, 2023. "The changing work of IPR attorneys: 30 years of institutional transitions," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
  7. Ugo RIZZO & Valerio STERZI, 2022. "Characterising science-industry patent collaborations: knowledge base, impact and economic value," Bordeaux Economics Working Papers 2022-15, Bordeaux School of Economics (BSE).
  8. Gaétan De Rassenfosse & Paul H. Jensen & T'Mir Julius & Alfons Palangkaraya & Elizabeth Webster, 2023. "Is the Patent System an Even Playing Field? The Effect of Patent Attorney Firms," Journal of Industrial Economics, Wiley Blackwell, vol. 71(1), pages 124-142, March.
  9. Jiang, Hongxun & Fan, Shaokun & Zhang, Nan & Zhu, Bin, 2023. "Deep learning for predicting patent application outcome: The fusion of text and network embeddings," Journal of Informetrics, Elsevier, vol. 17(2).
  10. Peters, Bettina & Marks, Hannes & Trunschke, Markus & Grimpe, Christoph & Sofka, Wolfgang & Czarnitzki, Dirk, 2023. "Schwerpunktstudie Technologiemärkte," Studien zum deutschen Innovationssystem 9-2023, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
  11. Jiarong Shi & Zihao Jiang & Biao Luo, 2022. "Economic policy, regulatory policy, or soft policy: Which category of policy can effectively improve the green innovation of Chinese wind power industry?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2284-2298, September.
  12. Boeing, Philipp & Brandt, Loren & Dai, Ruochen & Lim, Kevin & Peters, Bettina, 2024. "The anatomy of Chinese innovation: Insights on patent quality and ownership," ZEW Discussion Papers 24-016, ZEW - Leibniz Centre for European Economic Research.
  13. 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).
  14. Yutao Sun & Ying Zhang & Xiaofei Zhang, 2023. "Reconfiguring star inventors with commercialization: a case of the graphene sector," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5411-5440, October.
  15. Wu, Howei & Lin, Jia & Wu, Ho-Mou, 2022. "Investigating the real effect of China’s patent surge: New evidence from firm-level patent quality data," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 422-442.
  16. Federico Caviggioli & Boris Forthmann, 2022. "Reach for the stars: disentangling quantity and quality of inventors’ productivity in a multifaceted latent variable model," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7015-7040, December.
  17. Cui, Wenyue & Tang, Jie, 2023. "Innovation convergence clubs and their driving factors within urban agglomeration," Economic Modelling, Elsevier, vol. 121(C).
  18. Sasan Bakhtiari, 2023. "Changing Nature of Patents in Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 56(3), pages 288-307, September.
  19. Hohberger, Jan & Wilden, Ralf, 2022. "Geographic diversity of knowledge inputs: The importance of aligning locations of knowledge inputs and inventors," Journal of Business Research, Elsevier, vol. 145(C), pages 705-719.
  20. Kim, Juram & Hong, Suckwon & Kang, Yubin & Lee, Changyong, 2023. "Domain-specific valuation of university technologies using bibliometrics, Jonckheere–Terpstra tests, and data envelopment analysis," Technovation, Elsevier, vol. 122(C).
  21. Jin, Peizhen & Mangla, Sachin Kumar & Song, Malin, 2022. "The power of innovation diffusion: How patent transfer affects urban innovation quality," Journal of Business Research, Elsevier, vol. 145(C), pages 414-425.
  22. Kim, Juram & Lee, Gyumin & Lee, Seungbin & Lee, Changyong, 2022. "Towards expert–machine collaborations for technology valuation: An interpretable machine learning approach," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
  23. Jiang, Zihao & Shi, Jiarong, 2023. "Government intervention and technological innovation in the wind power industry in China: The role of industrial environmental turbulence," Applied Energy, Elsevier, vol. 344(C).
  24. 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).
  25. Capponi, Giovanna & Martinelli, Arianna & Nuvolari, Alessandro, 2022. "Breakthrough innovations and where to find them," Research Policy, Elsevier, vol. 51(1).
  26. Arora, Ashish & Cohen, Wesley & Lee, Honggi & Sebastian, Divya, 2023. "Invention value, inventive capability and the large firm advantage," Research Policy, Elsevier, vol. 52(1).
  27. Zhao, Shengchao & Zeng, Deming & Li, Jian & Feng, Ke & Wang, Yao, 2023. "Quantity or quality: The roles of technology and science convergence on firm innovation performance," Technovation, Elsevier, vol. 126(C).
  28. Li Yao & He Ni, 2023. "Prediction of patent grant and interpreting the key determinants: an application of interpretable machine learning approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 4933-4969, September.
  29. Kyle HIGHAM & NAGAOKA Sadao, 2022. "Language Barriers and the Speed of Knowledge Diffusion," Discussion papers 22074, Research Institute of Economy, Trade and Industry (RIETI).
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