Structural decomposition of technological domain using patent co-classification and classification hierarchy
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DOI: 10.1007/s11192-019-03223-8
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- Christopher L. Benson & Christopher L. Magee, 2015. "Technology structural implications from the extension of a patent search method," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 1965-1985, March.
- Guan, Jiancheng & Liu, Na, 2016. "Exploitative and exploratory innovations in knowledge network and collaboration network: A patent analysis in the technological field of nano-energy," Research Policy, Elsevier, vol. 45(1), pages 97-112.
- Bart Verspagen, 2007.
"Mapping Technological Trajectories As Patent Citation Networks: A Study On The History Of Fuel Cell Research,"
Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 93-115.
- Verspagen, B., 2005. "Mapping Technological Trajectories as Patent Citation Networks. A Study on the History of Fuel Cell Research," Working Papers 05.11, Eindhoven Center for Innovation Studies.
- Verspagen, Bart, 2005. "Mapping Technological Trajectories as Patent Citation Networks. A Study on the History of Fuel Cell Research," Research Memorandum 019, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
- Christopher L. Benson & Christopher L. Magee, 2016. "Using Enhanced Patent Data for Future-Oriented Technology Analysis," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), Anticipating Future Innovation Pathways Through Large Data Analysis, chapter 0, pages 119-131, Springer.
- Lothar Walter & Alfred Radauer & Martin G. Moehrle, 2017. "The beauty of brimstone butterfly: novelty of patents identified by near environment analysis based on text mining," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 103-115, April.
- Yan Yan & Jiancheng Guan, 2018. "How multiple networks help in creating knowledge: evidence from alternative energy patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 51-77, April.
- Magee, C.L. & Basnet, S. & Funk, J.L. & Benson, C.L., 2016. "Quantitative empirical trends in technical performance," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 237-246.
- Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993.
"Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
- Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1992. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," NBER Working Papers 3993, National Bureau of Economic Research, Inc.
- Jaffe, A.B. & Trajtenberg, M., 1992. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," Papers 14-92, Tel Aviv.
- von Wartburg, Iwan & Teichert, Thorsten & Rost, Katja, 2005. "Inventive progress measured by multi-stage patent citation analysis," Research Policy, Elsevier, vol. 34(10), pages 1591-1607, December.
- Janghyeok Yoon & Kwangsoo Kim, 2011. "Identifying rapidly evolving technological trends for R&D planning using SAO-based semantic patent networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 213-228, July.
- Verhoeven, Dennis & Bakker, Jurriën & Veugelers, Reinhilde, 2016.
"Measuring technological novelty with patent-based indicators,"
Research Policy, Elsevier, vol. 45(3), pages 707-723.
- Dennis Verhoeven & Jurriën Bakker & Reinhilde Veugelers, 2015. "Measuring technological novelty with patent-based indicators," Working Papers of Department of Management, Strategy and Innovation, Leuven 501835, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
- Lybbert, Travis J. & Zolas, Nikolas J., 2014.
"Getting patents and economic data to speak to each other: An ‘Algorithmic Links with Probabilities’ approach for joint analyses of patenting and economic activity,"
Research Policy, Elsevier, vol. 43(3), pages 530-542.
- Travis J. Lybbert & Nikolas J. Zolas, 2012. "Getting Patents and Economic Data to Speak to Each Other: An 'Algorithmic Links with Probabilities' Approach for Joint Analyses of Patenting and Economic Activity," Working Papers 12-16, Center for Economic Studies, U.S. Census Bureau.
- Hyunseok Park & Janghyeok Yoon & Kwangsoo Kim, 2013. "Identification and evaluation of corporations for merger and acquisition strategies using patent information and text mining," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 883-909, December.
- Mina, A. & Ramlogan, R. & Tampubolon, G. & Metcalfe, J.S., 2007. "Mapping evolutionary trajectories: Applications to the growth and transformation of medical knowledge," Research Policy, Elsevier, vol. 36(5), pages 789-806, June.
- Subarna Basnet & Christopher L Magee, 2017. "Artifact interactions retard technological improvement: An empirical study," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-17, August.
- Martinelli, Arianna, 2012.
"An emerging paradigm or just another trajectory? Understanding the nature of technological changes using engineering heuristics in the telecommunications switching industry,"
Research Policy, Elsevier, vol. 41(2), pages 414-429.
- Arianna Martinelli, 2011. "An emerging paradigm or just another trajectory? Understanding the nature of technological changes using engineering heuristics in the telecommunications switching industry," LEM Papers Series 2011/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Trajtenberg, Manuel, 1987.
"Patents, Citations and Innovations: Tracing the Links,"
Foerder Institute for Economic Research Working Papers
275436, Tel-Aviv University > Foerder Institute for Economic Research.
- Manuel Trajtenberg, 1987. "Patents, Citations and Innovations: Tracing the Links," NBER Working Papers 2457, National Bureau of Economic Research, Inc.
- Ansgar Moeller & Martin G. Moehrle, 2015. "Completing keyword patent search with semantic patent search: introducing a semiautomatic iterative method for patent near search based on semantic similarities," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 77-96, January.
- Cristiano Antonelli (ed.), 2011. "Handbook on the Economic Complexity of Technological Change," Books, Edward Elgar Publishing, number 13391.
- Strumsky, Deborah & Lobo, José, 2015. "Identifying the sources of technological novelty in the process of invention," Research Policy, Elsevier, vol. 44(8), pages 1445-1461.
- Christopher L. Benson & Christopher L. Magee, 2013. "A hybrid keyword and patent class methodology for selecting relevant sets of patents for a technological field," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 69-82, July.
- Fleming, Lee & Sorenson, Olav, 2001. "Technology as a complex adaptive system: evidence from patent data," Research Policy, Elsevier, vol. 30(7), pages 1019-1039, August.
- Xuefeng Wang & Pingping Ma & Ying Huang & Junfang Guo & Donghua Zhu & Alan L. Porter & Zhinan Wang, 2017. "Combining SAO semantic analysis and morphology analysis to identify technology opportunities," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 3-24, April.
- Christopher L. Benson & Christopher L. Magee, 2013. "Erratum to: A hybrid keyword and patent class methodology for selecting relevant sets of patents for a technological field," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 83-83, July.
- Stephen F. Carley & Nils C. Newman & Alan L. Porter & Jon G. Garner, 2018. "An indicator of technical emergence," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 35-49, April.
- Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
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- Mun, Changbae & Yoon, Sejun & Raghavan, Nagarajan & Hwang, Dongwook & Basnet, Subarna & Park, Hyunseok, 2021. "Function score-based technological trend analysis," Technovation, Elsevier, vol. 101(C).
- Chie Hoon Song, 2021. "Exploring and Predicting the Knowledge Development in the Field of Energy Storage: Evidence from the Emerging Startup Landscape," Energies, MDPI, vol. 14(18), pages 1-20, September.
- Aaldering, Lukas Jan & Song, Chie Hoon, 2021. "Of leaders and laggards - Towards digitalization of the process industries," Technovation, Elsevier, vol. 105(C).
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Keywords
Classification overlap method (COM); Patent co-classification; Classification hierarchy; Sub-technologies; Sub-domain; Hierarchical class similarity;All these keywords.
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