Data-Mining the Foundational Patents of Photovoltaic Materials: An Application of Patent Citation Spectroscopy

Journal of Scientometric Research,,2018,7,2,79-83.
Published:August 2018
Type:Research Article

Jordan A Cominsand Loet Leydesdorff2*

1Social and Behavioral Sciences Department, The MITRE Corporation, McLean, VA, UNITED STATES.

2Amsterdam School of Communication Research (ASCoR), University of Amsterdam, PO Box 15793, 1001 NG Amsterdam, NETHERLANDS.

Abstract:

Patents branch out in tree-like structures along trajectories. The historical root or seminal, patent can be followed using sequences of patent citations. The algorithmic method of PCS presented in this study provides a solution to the problem where to begin the analysis of a technological development. PCS enables the user to retrieve the fundamental patent in any technological domain using a topical search. This application thus orients the user strategically. To illustrate the value of PCS, we provide the results of a search for the seminal patents of the nine CPC subclasses pertaining to photovoltaic solar cells, a key area of technological innovation. Research and development (R&D) in photovoltaic devices continues to yield greater efficiencies, offering the potential to lower the cost of solar energy.[1] As these advances in solar technology become primed for penetrating the global energy system, an understanding of the key patents and inventors in photovoltaic materials will assist decision-makers in understanding the R&D landscape.[2] We demonstrate that such searches are easily completed via PCS in each of the nine CPC subclasses. Searches of scholarly article databases validated the results obtained through PCS in five of the nine classes.

Geographical spread over time of the 151 US patents citing the foundational patent of CuInSe2 material PV cells.

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Comins JA, Leydesdorff L. Data-Mining the Foundational Patents of Photovoltaic Materials: An Application of Patent Citation Spectroscopy. Journal of Scientometric Research,. 2018;7(2):79-83. doi:10.5530/jscires.7.2.13.