Measuring Science and Innovation Linkage Using Text Mining of Research Papers and Patent Information
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- Kazuyuki Motohashi & Hitoshi Koshiba & Kenta Ikeuchi, 2024. "Measuring science and innovation linkage using text mining of research papers and patent information," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(4), pages 2159-2179, April.
References listed on IDEAS
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Cited by:
- Yuhang Wang & Lei Pei & Jianjun Sun & Lele Kang, 2025. "Trace on both sides: a two-step text mining method to identify academic inventors’ patent–paper pairs," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(2), pages 833-860, February.
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More about this item
JEL classification:
- O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
- O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
NEP fields
This paper has been announced in the following NEP Reports:- NEP-INO-2023-03-27 (Innovation)
- NEP-IPR-2023-03-27 (Intellectual Property Rights)
- NEP-TID-2023-03-27 (Technology and Industrial Dynamics)
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