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Kyle William Higham

Personal Details

First Name:Kyle
Middle Name:William
Last Name:Higham
Suffix:
RePEc Short-ID:phi242
[This author has chosen not to make the email address public]
Terminal Degree:2019 (from RePEc Genealogy)

Affiliation

Institute of Innovation Research
Hitotsubashi University

Tokyo, Japan
http://www.iir.hit-u.ac.jp/
RePEc:edi:iihitjp (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Kyle HIGHAM & NAGAOKA Sadao, 2022. "Language Barriers and the Speed of Knowledge Diffusion," Discussion papers 22074, Research Institute of Economy, Trade and Industry (RIETI).
  2. Gaetan de Rassenfosse & Kyle Higham & Orion Penner, 2022. "Scientific rewards for biomedical specialization are large and persistent," Working Papers 19, Chair of Science, Technology, and Innovation Policy.
  3. Kyle Higham & Gaetan de Rassenfosse & Adam Jaffe, 2021. "Patent quality: Towards a Systematic Framework for Analysis and Measurement," Working Papers 14, Chair of Science, Technology, and Innovation Policy.
  4. Cyril Verluise & Gabriele Cristelli & Kyle Higham & Gaetan de Rassenfosse, 2020. "The Missing 15 Percent of Patent Citations," Working Papers 13, Chair of Science, Technology, and Innovation Policy.
  5. Gaetan de Rassenfosse & Kyle Higham, 2020. "Wanted: A Standard for Virtual Patent Marking," Working Papers 7, Chair of Science, Technology, and Innovation Policy.
  6. Gaetan de Rassenfosse & Kyle Higham, 2019. "Decentralising the Patent System," Working Papers 6, Chair of Science, Technology, and Innovation Policy.

Articles

  1. 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).
  2. Higham, Kyle & de Rassenfosse, Gaétan & Jaffe, Adam B., 2021. "Patent Quality: Towards a Systematic Framework for Analysis and Measurement," Research Policy, Elsevier, vol. 50(4).
  3. Ben Curran & Kyle Higham & Elisenda Ortiz & Demival Vasques Filho, 2018. "Look who’s talking: Two-mode networks as representations of a topic model of New Zealand parliamentary speeches," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-16, June.
  4. Higham, K.W. & Governale, M. & Jaffe, A.B. & Zülicke, U., 2017. "Unraveling the dynamics of growth, aging and inflation for citations to scientific articles from specific research fields," Journal of Informetrics, Elsevier, vol. 11(4), pages 1190-1200.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Kyle Higham & Gaetan de Rassenfosse & Adam Jaffe, 2021. "Patent quality: Towards a Systematic Framework for Analysis and Measurement," Working Papers 14, Chair of Science, Technology, and Innovation Policy.

    Cited by:

    1. 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.
    2. 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).
    3. Cui, Wenyue & Tang, Jie, 2023. "Innovation convergence clubs and their driving factors within urban agglomeration," Economic Modelling, Elsevier, vol. 121(C).
    4. Büttner, Benjamin & Firat, Murat & Raiteri, Emilio, 2022. "Patents and knowledge diffusion," Research Policy, Elsevier, vol. 51(10).
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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).
    11. 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.
    12. 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.
    13. 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).
    14. Ugo Rizzo & Valerio Sterzi, 2022. "Characterising science-industry patent collaborations: knowledge base, impact and economic value," Working Papers hal-03896633, HAL.
    15. Gaetan de Rassenfosse & Paul Jensen & T'Mir Julius & Alfons Palangkaraya & Elizabeth Webster, 2021. "Is the patent system a level playing field? The effect of patent attorney firms," Working Papers 15, Chair of Science, Technology, and Innovation Policy.
    16. 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).
    17. 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).
    18. 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.
    19. 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.
    20. 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).
    21. Capponi, Giovanna & Martinelli, Arianna & Nuvolari, Alessandro, 2022. "Breakthrough innovations and where to find them," Research Policy, Elsevier, vol. 51(1).
    22. 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).
    23. Ashish Arora & Wesley M. Cohen & Honggi Lee & Divya Sebastian, 2022. "Invention Value, Inventive Capability and the Large Firm Advantage," NBER Working Papers 30354, National Bureau of Economic Research, Inc.
    24. 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.
    25. 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).
    26. 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.
    27. 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.
    28. Kyle HIGHAM & NAGAOKA Sadao, 2022. "Language Barriers and the Speed of Knowledge Diffusion," Discussion papers 22074, Research Institute of Economy, Trade and Industry (RIETI).

  2. Cyril Verluise & Gabriele Cristelli & Kyle Higham & Gaetan de Rassenfosse, 2020. "The Missing 15 Percent of Patent Citations," Working Papers 13, Chair of Science, Technology, and Innovation Policy.

    Cited by:

    1. Antonin Bergeaud & Arthur Guillouzouic & Emeric Henry & Clement Malgouyres, 2022. "From public labs to private firms: magnitude and channels of R&D spillovers," CEP Discussion Papers dp1882, Centre for Economic Performance, LSE.
    2. Bergeaud, Antonin & Verluise, Cyril, 2022. "The rise of China's technological power: the perspective from frontier technologies," LSE Research Online Documents on Economics 117998, London School of Economics and Political Science, LSE Library.
    3. 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).

  3. Gaetan de Rassenfosse & Kyle Higham, 2020. "Wanted: A Standard for Virtual Patent Marking," Working Papers 7, Chair of Science, Technology, and Innovation Policy.

    Cited by:

    1. Higham, Kyle & de Rassenfosse, Gaetan & Jaffe, Adam B, 2020. "Patent Quality: Towards a Systematic Framework for Analysis and Measurement," SocArXiv 49qxk, Center for Open Science.

  4. Gaetan de Rassenfosse & Kyle Higham, 2019. "Decentralising the Patent System," Working Papers 6, Chair of Science, Technology, and Innovation Policy.

    Cited by:

    1. Higham, Kyle & de Rassenfosse, Gaetan & Jaffe, Adam B, 2020. "Patent Quality: Towards a Systematic Framework for Analysis and Measurement," SocArXiv 49qxk, Center for Open Science.
    2. Giovanni Dosi & Elisa Palagi & Andrea Roventini & Emanuele Russo, 2021. "Do patents really foster innovation in the pharmaceutical sector? Results from an evolutionary, agent-based model," LEM Papers Series 2021/37, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

Articles

  1. 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).

    Cited by:

    1. Liu, Zhenfeng & Feng, Jian & Uden, Lorna, 2023. "Technology opportunity analysis using hierarchical semantic networks and dual link prediction," Technovation, Elsevier, vol. 128(C).
    2. Natalia Wagner, 2023. "Inventive Activity for Climate Change Mitigation: An Insight into the Maritime Industry," Energies, MDPI, vol. 16(21), pages 1-23, November.

  2. Higham, Kyle & de Rassenfosse, Gaétan & Jaffe, Adam B., 2021. "Patent Quality: Towards a Systematic Framework for Analysis and Measurement," Research Policy, Elsevier, vol. 50(4).
    See citations under working paper version above.
  3. Ben Curran & Kyle Higham & Elisenda Ortiz & Demival Vasques Filho, 2018. "Look who’s talking: Two-mode networks as representations of a topic model of New Zealand parliamentary speeches," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-16, June.

    Cited by:

    1. Jef Vlegels & Stijn Daenekindt, 2021. "Combining topic models with bipartite blockmodelling to uncover the multifaceted nature of social capital," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-15, June.

  4. Higham, K.W. & Governale, M. & Jaffe, A.B. & Zülicke, U., 2017. "Unraveling the dynamics of growth, aging and inflation for citations to scientific articles from specific research fields," Journal of Informetrics, Elsevier, vol. 11(4), pages 1190-1200.

    Cited by:

    1. Higham, Kyle & de Rassenfosse, Gaetan & Jaffe, Adam B, 2020. "Patent Quality: Towards a Systematic Framework for Analysis and Measurement," SocArXiv 49qxk, Center for Open Science.
    2. Katchanov, Yurij L. & Markova, Yulia V. & Shmatko, Natalia A., 2023. "Uncited papers in the structure of scientific communication," Journal of Informetrics, Elsevier, vol. 17(2).
    3. Chakresh Kumar Singh & Demival Vasques Filho & Shivakumar Jolad & Dion R. J. O’Neale, 2020. "Evolution of interdependent co-authorship and citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 385-404, October.
    4. Yu, Dejian & Pan, Tianxing, 2021. "Tracing the main path of interdisciplinary research considering citation preference: A case from blockchain domain," Journal of Informetrics, Elsevier, vol. 15(2).
    5. Xinyuan Zhang & Qing Xie & Chaemin Song & Min Song, 2022. "Mining the evolutionary process of knowledge through multiple relationships between keywords," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2023-2053, April.
    6. Li Hou & Qiang Wu & Yundong Xie, 2022. "Does early publishing in top journals really predict long-term scientific success in the business field?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6083-6107, November.
    7. Jie Liu & Arnulf Grubler & Tieju Ma & Dieter F. Kogler, 2021. "Identifying the technological knowledge depreciation rate using patent citation data: a case study of the solar photovoltaic industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 93-115, January.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 10 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-INO: Innovation (7) 2019-09-09 2019-11-25 2020-04-13 2020-10-19 2021-01-11 2021-02-22 2022-09-19. Author is listed
  2. NEP-IPR: Intellectual Property Rights (7) 2019-09-09 2019-11-25 2020-04-13 2020-10-19 2021-01-11 2021-01-18 2021-02-22. Author is listed
  3. NEP-CSE: Economics of Strategic Management (3) 2020-10-19 2020-10-19 2022-09-19. Author is listed
  4. NEP-BIG: Big Data (2) 2021-01-11 2021-01-18
  5. NEP-LAW: Law and Economics (2) 2019-09-09 2020-04-13
  6. NEP-TID: Technology and Industrial Dynamics (2) 2021-02-22 2022-09-19
  7. NEP-CMP: Computational Economics (1) 2021-01-11
  8. NEP-COM: Industrial Competition (1) 2020-10-19
  9. NEP-KNM: Knowledge Management and Knowledge Economy (1) 2022-09-19
  10. NEP-ORE: Operations Research (1) 2019-09-09
  11. NEP-SBM: Small Business Management (1) 2022-09-19
  12. NEP-SOG: Sociology of Economics (1) 2023-01-23
  13. NEP-URE: Urban and Real Estate Economics (1) 2022-09-19

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