IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1906.08244.html
   My bibliography  Save this paper

Predicting Patent Citations to measure Economic Impact of Scholarly Research

Author

Listed:
  • Abdul Rahman Shaikh
  • Hamed Alhoori

Abstract

A crucial goal of funding research and development has always been to advance economic development. On this basis, a consider-able body of research undertaken with the purpose of determining what exactly constitutes economic impact and how to accurately measure that impact has been published. Numerous indicators have been used to measure economic impact, although no single indicator has been widely adapted. Based on patent data collected from Altmetric we predict patent citations through various social media features using several classification models. Patents citing a research paper implies the potential it has for direct application inits field. These predictions can be utilized by researchers in deter-mining the practical applications for their work when applying for patents.

Suggested Citation

  • Abdul Rahman Shaikh & Hamed Alhoori, 2019. "Predicting Patent Citations to measure Economic Impact of Scholarly Research," Papers 1906.08244, arXiv.org.
    • Handle: RePEc:arx:papers:1906.08244
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1906.08244
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
    2. Leonardo Costa Ribeiro & Glenda Kruss & Gustavo Britto & Américo Tristão Bernardes & Eduardo Motta e Albuquerque, 2014. "A methodology for unveiling global innovation networks: patent citations as clues to cross border knowledge flows," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 61-83, October.
    3. Zvi Griliches, 1998. "R&D and Productivity: The Econometric Evidence," NBER Books, National Bureau of Economic Research, Inc, number gril98-1, March.
    4. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    5. Hall, Bronwyn H. & Jaffe, A & Trajtenberg, M, 2005. "Market value and patent citations," Department of Economics, Working Paper Series qt0cs6v2w7, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    6. Langinier, Corinne & Moschini, GianCarlo, 2002. "Economics of Patents: An Overview, The," Staff General Research Papers Archive 2061, Iowa State University, Department of Economics.
    7. Griliches, Zvi, 1998. "R&D and Productivity," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226308869.
    8. Mariagrazia Squicciarini & Hélène Dernis & Chiara Criscuolo, 2013. "Measuring Patent Quality: Indicators of Technological and Economic Value," OECD Science, Technology and Industry Working Papers 2013/3, OECD Publishing.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Abdul Rahman Shaikh & Hamed Alhoori & Maoyuan Sun, 2023. "YouTube and science: models for research impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 933-955, February.
    2. Shahzad, Murtuza & Alhoori, Hamed & Freedman, Reva & Rahman, Shaikh Abdul, 2022. "Quantifying the online long-term interest in research," Journal of Informetrics, Elsevier, vol. 16(2).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ugo Rizzo & Nicolò Barbieri & Laura Ramaciotti & Demian Iannantuono, 2020. "The division of labour between academia and industry for the generation of radical inventions," The Journal of Technology Transfer, Springer, vol. 45(2), pages 393-413, April.
    2. Stiebale, Joel, 2016. "Cross-border M&As and innovative activity of acquiring and target firms," Journal of International Economics, Elsevier, vol. 99(C), pages 1-15.
    3. Marin, Giovanni & Palma, Alessandro, "undated". "Technology Invention and Diffusion in Residential Energy Consumption. A Stochastic Frontier Approach," Energy: Resources and Markets 230687, Fondazione Eni Enrico Mattei (FEEM).
    4. Marin, Giovanni & Palma, Alessandro, 2017. "Technology invention and adoption in residential energy consumption," Energy Economics, Elsevier, vol. 66(C), pages 85-98.
    5. Lee, Kyounghun & Oh, Frederick Dongchuhl & Shin, Donglim & Yoon, Heejin, 2023. "Internal labor markets and corporate innovation: Evidence from Korean chaebols," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 146-162.
    6. Bertoni, Fabio & Tykvová, Tereza, 2015. "Does governmental venture capital spur invention and innovation? Evidence from young European biotech companies," Research Policy, Elsevier, vol. 44(4), pages 925-935.
    7. Haschka, Rouven E. & Herwartz, Helmut, 2020. "Innovation efficiency in European high-tech industries: Evidence from a Bayesian stochastic frontier approach," Research Policy, Elsevier, vol. 49(8).
    8. Hoenen, Sebastian & Kolympiris, Christos & Schoenmakers, Wilfred & Kalaitzandonakes, Nicholas, 2014. "The diminishing signaling value of patents between early rounds of venture capital financing," Research Policy, Elsevier, vol. 43(6), pages 956-989.
    9. Ufuk Akcigit & Douglas Hanley & Stefanie Stantcheva, 2022. "Optimal Taxation and R&D Policies," Econometrica, Econometric Society, vol. 90(2), pages 645-684, March.
    10. Tan, Yafei & Zhu, Zhaohui, 2022. "The effect of ESG rating events on corporate green innovation in China: The mediating role of financial constraints and managers' environmental awareness," Technology in Society, Elsevier, vol. 68(C).
    11. Hall, B.H., 2011. "Innovation and productivity," MERIT Working Papers 2011-028, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    12. Rouven E. Haschka & Helmut Herwartz, 2022. "Endogeneity in pharmaceutical knowledge generation: An instrument‐free copula approach for Poisson frontier models," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(4), pages 942-960, November.
    13. 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).
    14. Costantini, Valeria & Crespi, Francesco & Palma, Alessandro, 2017. "Characterizing the policy mix and its impact on eco-innovation: A patent analysis of energy-efficient technologies," Research Policy, Elsevier, vol. 46(4), pages 799-819.
    15. Sandro Montresor & Antonio Vezzani, 2016. "Intangible investments and innovation propensity: Evidence from the Innobarometer 2013," Industry and Innovation, Taylor & Francis Journals, vol. 23(4), pages 331-352, May.
    16. Ilayda Nemlioglu & Sushanta K. Mallick, 2017. "Do Managerial Practices Matter in Innovation and Firm Performance Relations? New Evidence from the UK," European Financial Management, European Financial Management Association, vol. 23(5), pages 1016-1061, October.
    17. Roberto Fontana & Lionel Nesta, 2009. "Product Innovation and Survival in a High-Tech Industry," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 34(4), pages 287-306, June.
    18. Pfister, Curdin & Koomen, Miriam & Harhoff, Dietmar & Backes-Gellner, Uschi, 2021. "Regional innovation effects of applied research institutions," Research Policy, Elsevier, vol. 50(4).
    19. Barbieri, Nicolò & Marzucchi, Alberto & Rizzo, Ugo, 2020. "Knowledge sources and impacts on subsequent inventions: Do green technologies differ from non-green ones?," Research Policy, Elsevier, vol. 49(2).
    20. Valeria Costantini & Francesco Crespi & Alessandro Palma, 2015. "Characterizing the policy mix and its impact on eco-innovation in energy-efficient technologies," SEEDS Working Papers 1115, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jun 2015.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:1906.08244. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.