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Kyle William Higham

Personal Details

First Name:Kyle
Middle Name:William
Last Name:Higham
Suffix:
RePEc Short-ID:phi242
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. Cyril Verluise & Gabriele Cristelli & Kyle Higham & Gaetan de Rassenfosse, 2020. "The Missing 15 Percent of Patent Citations," Working Papers 13, Chair of Innovation and IP Policy.
  3. Gaetan de Rassenfosse & Kyle Higham, 2020. "Wanted: A Standard for Virtual Patent Marking," Working Papers 7, Chair of Innovation and IP Policy.
  4. Kyle W. Higham & Gaétan de Rassenfosse & Adam B. Jaffe, 2020. "Patent Quality: Towards a Systematic Framework for Analysis and Measurement," NBER Working Papers 27598, National Bureau of Economic Research, Inc.
  5. Gaetan de Rassenfosse & Kyle Higham, 2019. "Decentralising the Patent System," Working Papers 6, Chair of Innovation and IP 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. Cyril Verluise & Gabriele Cristelli & Kyle Higham & Gaetan de Rassenfosse, 2020. "The Missing 15 Percent of Patent Citations," Working Papers 13, Chair of Innovation and IP 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. 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. Antonin Bergeaud & Cyril Verluise, 2022. "The rise of China's technological power: the perspective from frontier technologies," CEP Discussion Papers dp1876, Centre for Economic Performance, LSE.

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

  3. Kyle W. Higham & Gaétan de Rassenfosse & Adam B. Jaffe, 2020. "Patent Quality: Towards a Systematic Framework for Analysis and Measurement," NBER Working Papers 27598, National Bureau of Economic Research, Inc.

    Cited by:

    1. 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.
    2. 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.
    3. 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 Innovation and IP Policy.
    4. 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.
    5. 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).
    6. Capponi, Giovanna & Martinelli, Arianna & Nuvolari, Alessandro, 2022. "Breakthrough innovations and where to find them," Research Policy, Elsevier, vol. 51(1).
    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. Büttner, Benjamin & Firat, Murat & Raiteri, Emilio, 2022. "Patents and knowledge diffusion," Research Policy, Elsevier, vol. 51(10).
    9. 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.
    10. 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).
    11. 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.
    12. 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.
    13. 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).
    14. Kyle HIGHAM & NAGAOKA Sadao, 2022. "Language Barriers and the Speed of Knowledge Diffusion," Discussion papers 22074, Research Institute of Economy, Trade and Industry (RIETI).

  4. Gaetan de Rassenfosse & Kyle Higham, 2019. "Decentralising the Patent System," Working Papers 6, Chair of Innovation and IP 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 & 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.
  2. 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.

  3. 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. 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.
    3. 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).
    4. 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.
    5. 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 9 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 & Economics (2) 2019-09-09 2020-04-13
  6. NEP-TID: Technology & 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 & 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-URE: Urban & Real Estate Economics (1) 2022-09-19

Corrections

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