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Journal articles on the topic 'Patent Citation Analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Oppenheim, C. "Patent citation analysis." Scientometrics 39, no. 1 (1997): 141. http://dx.doi.org/10.1007/bf02457435.

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2

Lee, Minjung, Yongdai Kim, and Woncheol Jang. "Patent citation network analysis." Korean Journal of Applied Statistics 29, no. 4 (2016): 613–25. http://dx.doi.org/10.5351/kjas.2016.29.4.613.

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3

Chakraborty, Manajit, Maksym Byshkin, and Fabio Crestani. "Patent citation network analysis: A perspective from descriptive statistics and ERGMs." PLOS ONE 15, no. 12 (2020): e0241797. http://dx.doi.org/10.1371/journal.pone.0241797.

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Patent Citation Analysis has been gaining considerable traction over the past few decades. In this paper, we collect extensive information on patents and citations and provide a perspective of citation network analysis of patents from a statistical viewpoint. We identify and analyze the most cited patents, the most innovative and the highly cited companies along with the structural properties of the network by providing in-depth descriptive analysis. Furthermore, we employ Exponential Random Graph Models (ERGMs) to analyze the citation networks. ERGMs enables understanding the social perspecti

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4

Mogee, Mary Ellen, and Richard G. Kolar. "Patent citation analysis of Allergan pharmaceutical patents." Expert Opinion on Therapeutic Patents 8, no. 10 (1998): 1323–46. http://dx.doi.org/10.1517/13543776.8.10.1323.

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5

Kousha, Kayvan, and Mike Thelwall. "Patent citation analysis with Google." Journal of the Association for Information Science and Technology 68, no. 1 (2015): 48–61. http://dx.doi.org/10.1002/asi.23608.

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6

Mcmillan, G. Steven. "An Analysis of the Relationship Between Publishing Activity and Internal Knowledge Development." International Journal of Innovation Management 02, no. 04 (1998): 469–78. http://dx.doi.org/10.1142/s1363919698000213.

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Previous research has explored the value of using patent citations, versus simple patent counts, as indicators of innovative value. However, little work has delved into whether a company's patent citations are to its own patents or to external ones. This study examines the relationship between publishing and patenting using patent citation analysis that is separated into internal and external cites, with self-citations as a measure of internal knowledge development. Its results are that publishing patterns and internal knowledge development are correlated, which may provide a different view of

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7

Joo, Sihyung. "The Effect of Patent Citation on Patent Renewal - An Analysis Using Korean Patent Citation Data." Journal of Intellectual Property 15, no. 4 (2020): 301–38. http://dx.doi.org/10.34122/jip.2020.15.4.301.

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8

Joo, Sihyung. "The Effect of Patent Citation on Patent Renewal - An Analysis Using Korean Patent Citation Data." Journal of Intellectual Property 15, no. 4 (2020): 301–38. http://dx.doi.org/10.34122/jip.2020.15.4.301.

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9

Karki, M. M. S. "Patent citation analysis: A policy analysis tool." World Patent Information 19, no. 4 (1997): 269–72. http://dx.doi.org/10.1016/s0172-2190(97)00033-1.

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10

Donato, Claudia, Paolo Lo Giudice, Roberta Marretta, Domenico Ursino, and Luca Virgili. "A well-tailored centrality measure for evaluating patents and their citations." Journal of Documentation 75, no. 4 (2019): 750–72. http://dx.doi.org/10.1108/jd-10-2018-0168.

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Purpose The development of innovations in all the research and development (R&D) fields is leading to a huge increase of patent data. Therefore, it is reasonable to foresee that, in the next future, Big Data-centered techniques will be compulsory to fully exploit the potential of this kind of data. In this context, network analysis-based approaches are extremely promising. The purpose of this paper is to provide a contribution to this setting. In fact, the authors propose a well-tailored centrality measure for evaluating patents and their citations. Design/methodology/approach The authors

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11

Xu, Qi, Xinjian Gu, and Yujing Feng. "Knowledge Adaptability Evaluation in View of Patent Citation in Technological Evolutionary Process: A Case Study of Fuel Cell." International Journal of Software Engineering and Knowledge Engineering 25, no. 08 (2015): 1335–64. http://dx.doi.org/10.1142/s0218194015500278.

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This work uses patents as agent and proposes the concept of knowledge adaptation factor in view of the objective law of survival of the fittest in technological evolutionary process. Knowledge genetic decomposition of a patent citation network is executed based on the Mendel law. And the contributions of early patents on current patents along patent citations are quantified to evaluate knowledge adaptability. Then the feasibility and effectiveness of the knowledge adaptability evaluation method are verified with the case study of fuel cell. This study collects 3054 patents related to fuel cell

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12

ALDIERI, LUIGI, and CONCETTO PAOLO VINCI. "TECHNOLOGICAL SPILLOVERS THROUGH A PATENT CITATION ANALYSIS." International Journal of Innovation Management 20, no. 02 (2016): 1650028. http://dx.doi.org/10.1142/s1363919616500286.

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The aim of this paper is to analyse the pattern of knowledge flows as evidenced by the patent citations in three economic areas: USA, Japan and Europe. In each economic area, we exploit information from two international patent offices data, the United States Patent and Trademarks Office (USPTO) data and the European Patent Office (EPO) data. In this way, we can investigate the link between the technological proximity and knowledge spillovers for 240 international firms. In particular, the contribution to the existing literature is twofold: First, we use an international sample so that we can

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13

Tavakolizadeh-Ravari, Mohammad, Faramarz Soheili, Fatemeh Makkizadeh, and Fatemeh Akrami. "A study on first citations of patents through a combination of Bradford’s distribution, Cox regression and life tables method." Journal of Information Science 46, no. 4 (2019): 496–507. http://dx.doi.org/10.1177/0165551519845848.

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The current research employs two survival analysis methods: Cox regression and life tables. The first determines the effect of inventor, assignee and country for receiving the first citation by patents. Life tables concern the time-lag between the dates of granting and receiving the first citation by patents. Bradford’s method is also established as a technique for categorization of patents, inventors, assignees and countries as a prerequisite for survival analysis. The research materials consist of 2837 patents in the area of ‘purification, separation, or recovery of hydrocarbon components’ w

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14

Lim, Jiyoun. "Analysis of the Relationship between Patent Litigation and Citation: Subdivision of Citations." Applied Mathematics & Information Sciences 8, no. 5 (2014): 2515–22. http://dx.doi.org/10.12785/amis/080549.

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15

Lim, Dong-Geon, and Jin Hwa Jung. "Technological Changes in Agriculture and Information Technology: Centrality and Citation Analyses of South Korean Agricultural Patent Data." Science, Technology and Society 24, no. 2 (2019): 316–37. http://dx.doi.org/10.1177/0971721819841992.

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This study analyses recent changes in the agricultural technology trends at the current pace of its convergence with information technology (IT) using South Korean agricultural patent data from 2000 to 2015. This article focuses on the structural changes in agricultural technology in terms of patent applications by specific technology sector between the two periods: Period 1 (2000–2007) and Period 2 (2008–2015). Accordingly, we performed centrality analysis to measure the importance of each agricultural technology based on International Patent Classification (IPC) sub-classes. We also conducte

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16

Wada, Tetsuo. "When do the USPTO examiners cite as the EPO examiners? An analysis of examination spillovers through rejection citations at the international family-to-family level." Scientometrics 125, no. 2 (2020): 1591–615. http://dx.doi.org/10.1007/s11192-020-03674-4.

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AbstractThis paper empirically examines coincidences between “rejection citations” (i.e., those cited as grounds for rejections) added by the United States Patent and Trademark Office (USPTO) and “X/Y patent citations,” which are also added as grounds for rejections at the European Patent Office (EPO) within the same patent family, based on more than forty thousand families of triadic application sample. We consider the release timing of European search reports and the timing of rejection actions by the USPTO for the same family of patent applications. We find that the frequency of rejection (

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17

Mogee, Mary Ellen, and Richard G. Kolar. "Patent co-citation analysis of Eli Lilly & Co. patents." Expert Opinion on Therapeutic Patents 9, no. 3 (1999): 291–305. http://dx.doi.org/10.1517/13543776.9.3.291.

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18

van Raan, Anthony F. J. "Patent Citations Analysis and Its Value in Research Evaluation: A Review and a New Approach to Map Technology-relevant Research." Journal of Data and Information Science 2, no. 1 (2017): 13–50. http://dx.doi.org/10.1515/jdis-2017-0002.

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Abstract Purpose First, to review the state-of-the-art in patent citation analysis, particularly characteristics of patent citations to scientific literature (scientific non-patent references, SNPRs). Second, to present a novel mapping approach to identify technology-relevant research based on the papers cited by and referring to the SNPRs. Design/methodology/approach In the review part we discuss the context of SNPRs such as the time lags between scientific achievements and inventions. Also patent-to-patent citation is addressed particularly because this type of patent citation analysis is a

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19

Gugler, Philippe, and Laura Vanoli. "Technology-sourcing investment abroad as an enhancer of Chinese MNEs’ innovative capabilities." International Journal of Emerging Markets 10, no. 2 (2015): 243–71. http://dx.doi.org/10.1108/ijoem-12-2014-0217.

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Purpose – The purpose of this paper is to focus on Chinese firms’ innovation processes that are induced by foreign direct investment abroad. The study uses a patent and citation analysis to examine the extent to which investments abroad contribute to enhancing these firms’ innovative capabilities. More specifically, this study focusses on the role of foreign location competitiveness as an asset to provide technological capabilities to Chinese affiliates. Design/methodology/approach – Patents are good indicators of firms’ innovative capabilities. Moreover, patents allow to track the inter-firm

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20

ISHII, YASUYUKI. "THE ROLE OF PATENT, CITATION AND OBJECTION STOCKS IN THE PRODUCTIVITY ANALYSIS OF R&D — USING JAPANESE COMPANY DATA." International Journal of Innovation Management 14, no. 05 (2010): 947–63. http://dx.doi.org/10.1142/s1363919610002945.

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In this paper, I examine the role of patent stock, citation stock and objection stock in the analysis of R&D productivity and the exact interrelationships between those stocks by using new data on 100 large Japanese companies. I find, first, that citation and objection stock represent the knowledge stock of the company well, whereas patent stock itself is an ineffective proxy for the knowledge stock. Objection stock seems to be the best proxy for the knowledge stock. Second, citation and objection stocks are effective in playing the role of control factors for successful R&D stock, whe

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21

von Wartburg, Iwan, Thorsten Teichert, and Katja Rost. "Inventive progress measured by multi-stage patent citation analysis." Research Policy 34, no. 10 (2005): 1591–607. http://dx.doi.org/10.1016/j.respol.2005.08.001.

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22

SATO, Yusuke, and Makoto IWAYAMA. "A study of patent document score using patent-specific attributes in citation analysis." Journal of Information Processing and Management 51, no. 5 (2008): 334–44. http://dx.doi.org/10.1241/johokanri.51.334.

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23

Bousfield, David, Johanna McEntyre, Sameer Velankar, et al. "Patterns of database citation in articles and patents indicate long-term scientific and industry value of biological data resources." F1000Research 5 (February 11, 2016): 160. http://dx.doi.org/10.12688/f1000research.7911.1.

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Data from open access biomolecular data resources, such as the European Nucleotide Archive and the Protein Data Bank are extensively reused within life science research for comparative studies, method development and to derive new scientific insights. Indicators that estimate the extent and utility of such secondary use of research data need to reflect this complex and highly variable data usage. By linking open access scientific literature, via Europe PubMedCentral, to the metadata in biological data resources we separate data citations associated with a deposition statement from citations th

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24

Jeon, Jeonghwan, and Yongyoon Suh. "Multiple patent network analysis for identifying safety technology convergence." Data Technologies and Applications 53, no. 3 (2019): 269–85. http://dx.doi.org/10.1108/dta-09-2018-0077.

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Purpose Using the large database of patent, the purpose of this paper is to structure a technology convergence network using various patent network analysis for integrating different results according to network characteristics. Design/methodology/approach The patent co-class analysis and the patent citation analysis are applied to discover core safety fields and technology, respectively. In specific, three types of network analysis, which are centrality analysis, association rule mining analysis and brokerage network analysis, are applied to measure the individual, synergy and group intensity

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25

Li, Rui, Tamy Chambers, Ying Ding, Guo Zhang, and Liansheng Meng. "Patent citation analysis: Calculating science linkage based on citing motivation." Journal of the Association for Information Science and Technology 65, no. 5 (2014): 1007–17. http://dx.doi.org/10.1002/asi.23054.

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26

Mogee, Mary Ellen, and Richard G. Kolar. "Patent citation analysis of new chemical entities claimed as pharmaceuticals." Expert Opinion on Therapeutic Patents 8, no. 3 (1998): 213–22. http://dx.doi.org/10.1517/13543776.8.3.213.

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27

Castriotta, Manuel, and Maria Chiara Di Guardo. "Disentangling the automotive technology structure: a patent co-citation analysis." Scientometrics 107, no. 2 (2016): 819–37. http://dx.doi.org/10.1007/s11192-016-1862-0.

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28

Zhong, Botao, Yongjian Hei, Li Jiao, Hanbin Luo, and Junqing Tang. "Technology Frontiers of Building-integrated Photovoltaics (BIPV): A Patent Co-citation Analysis." International Journal of Low-Carbon Technologies 15, no. 2 (2019): 241–52. http://dx.doi.org/10.1093/ijlct/ctz068.

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Abstract Recently, greater research attention has focused on the application of solar power generation technology in building construction to reduce building energy consumption and encourage increased sustainable development. An emerging solar power generation technology is in the use of Building-integrated Photovoltaics (BIPVs), where photovoltaic materials are used to replace conventional building materials. In order to map the development of BIPV technology over time and explore technology paths, this study retrieved a total of 4914 patents dated from 1972 to 2016 from the Derwent Innovatio

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29

Lee, Changyong, Yangrae Cho, Hyeonju Seol, and Yongtae Park. "A stochastic patent citation analysis approach to assessing future technological impacts." Technological Forecasting and Social Change 79, no. 1 (2012): 16–29. http://dx.doi.org/10.1016/j.techfore.2011.06.009.

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30

Breitzman, Anthony, and Patrick Thomas. "Using Patent Citation Analysis to Target/Value M&A Candidates." Research-Technology Management 45, no. 5 (2002): 28–36. http://dx.doi.org/10.1080/08956308.2002.11671519.

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31

Mahdabi, Parvaz, and Fabio Crestani. "The effect of citation analysis on query expansion for patent retrieval." Information Retrieval 17, no. 5-6 (2013): 412–29. http://dx.doi.org/10.1007/s10791-013-9232-5.

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32

Giglio, Carlo, Roberto Sbragia, Roberto Musmanno, and Roberto Palmieri. "Cross-country learning from patents: an analysis of citations flows in innovation trajectories." Scientometrics 126, no. 9 (2021): 7917–36. http://dx.doi.org/10.1007/s11192-021-04094-8.

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AbstractThis study proposes a methodological approach to investigate cross-country creativity/knowledge flows by analyzing patent citation networks, taking the aircraft, aviation and cosmonautics (AAC) industry as a case study. It aims at shedding some light on the following research questions: (a) how cross-country creative/learning flows can be investigated; (b) have countries of current patent owners benefited from patent acquisitions. In fact, despite the well-established economic interest for (analyzing and forecasting) innovation trajectories, this research area is still unexplored, thus

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33

Kim, Daejung, Hokyoung Ryu, and Jieun Kim. "Design-Utility Patent Citation Analysis from the Case Study of Apple©." Journal of Intellectual Property 12, no. 1 (2017): 155–82. http://dx.doi.org/10.34122/jip.2017.03.12.1.155.

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34

Park, Yongtae, Byungun Yoon, and Sungjoo Lee. "The idiosyncrasy and dynamism of technological innovation across industries: patent citation analysis." Technology in Society 27, no. 4 (2005): 471–85. http://dx.doi.org/10.1016/j.techsoc.2005.08.003.

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35

Gui, Bingxiu, Yanbing Ju, and Yun Liu. "Mapping technological development using patent citation trees: an analysis of bogie technology." Technology Analysis & Strategic Management 31, no. 2 (2018): 213–26. http://dx.doi.org/10.1080/09537325.2018.1493190.

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36

Yoon, Hyeji, and Minho Yoon. "Knowledge diffusion of international R&D: Analysis using patent citation data." Korean Development Economics Association 22, no. 4 (2016): 69–98. http://dx.doi.org/10.20464/kdea.2016.22.4.3.

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37

Lee, Sanghoon, and Wonjoon Kim. "The knowledge network dynamics in a mobile ecosystem: a patent citation analysis." Scientometrics 111, no. 2 (2017): 717–42. http://dx.doi.org/10.1007/s11192-017-2270-9.

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38

Ji, Jiaojiao, George A. Barnett, and Jianxun Chu. "Global networks of genetically modified crops technology: a patent citation network analysis." Scientometrics 118, no. 3 (2019): 737–62. http://dx.doi.org/10.1007/s11192-019-03006-1.

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39

Filippin, Flavia. "Do main paths reflect technological trajectories? Applying main path analysis to the semiconductor manufacturing industry." Scientometrics 126, no. 8 (2021): 6443–77. http://dx.doi.org/10.1007/s11192-021-04023-9.

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AbstractIt has been proposed that main path analysis can be used to identify technological trajectories in patent-citation networks. In this paper, the method is applied to a network composed of one million US patents and eight million citations in order to trace the backbone of the technological trajectory of the semiconductor manufacturing industry. An in depth discussion of the method is presented, focusing on the many parameters that can be adjusted while applying it and on the consequences of adjusting any of them. Moreover, and differently from other papers on the subject, the result of

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40

Lim, Hongrae. "New Evaluation Method of Patents by National R&D Program with Patent Citation Network Analysis." Korea Society for Innovation Management & Economics 27, no. 4 (2019): 1–19. http://dx.doi.org/10.14386/sime.2019.27.4.1.

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41

Muehlmann, Brigitte W., Victoria Chiu, and Qi Liu. "Emerging Technologies Research in Accounting: JETA's First Decade." Journal of Emerging Technologies in Accounting 12, no. 1 (2015): 17–50. http://dx.doi.org/10.2308/jeta-51245.

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ABSTRACT The Journal of Emerging Technologies in Accounting (JETA), an American Accounting Association journal, reached its ten-year milestone in 2013. This study provides a comprehensive bibliometric and comparative analysis of the 66 main research articles and citations of the contributions, which were published from 2004 to 2013. The analysis of the characteristics of the articles comprises the research methodologies and accounting areas as used in the Brigham Young University Accounting Research Rankings, novel classifications based on an expansion of the Brown and Vasarhelyi (1994) accoun

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42

Cheng, Shuenn Ren, Cheng Chung Wu, and Shu Hsia Lee Wu. "Using Data Envelopment Analysis to Measurement Patent Performance of Medical Instruments Industry." Advanced Materials Research 213 (February 2011): 454–59. http://dx.doi.org/10.4028/www.scientific.net/amr.213.454.

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This study analyzes 6,626 patents related to the medical instruments industry, and develops a subsequent patent analysis and performance assessment by means of DEA analysis. From the upper or lower ranking and comparing by DEA models this study found that the mix analysis could provide the results deeply with patents performance of DMUs in medical industries and worth to debate that would be difficult to see in traditional patent analysis. Finally, important elements that influence the performance of DMUs can also be found after sensitivity analysis. This study shows that less input may promot

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43

Rave, Tilmann, and Frank Goetzke. "Climate-friendly technologies in the mobile air-conditioning sector: a patent citation analysis." Environmental Economics and Policy Studies 15, no. 4 (2013): 389–422. http://dx.doi.org/10.1007/s10018-013-0069-3.

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44

Almeida, Paul. "Knowledge sourcing by foreign multinationals: Patent citation analysis in the U.S. semiconductor industry." Strategic Management Journal 17, S2 (1996): 155–65. http://dx.doi.org/10.1002/smj.4250171113.

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45

Cho, Ta-Shun, and Hsin-Yu Shih. "Patent citation network analysis of core and emerging technologies in Taiwan: 1997–2008." Scientometrics 89, no. 3 (2011): 795–811. http://dx.doi.org/10.1007/s11192-011-0457-z.

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46

Érdi, Péter, Kinga Makovi, Zoltán Somogyvári, et al. "Prediction of emerging technologies based on analysis of the US patent citation network." Scientometrics 95, no. 1 (2012): 225–42. http://dx.doi.org/10.1007/s11192-012-0796-4.

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47

Gavilanes-Trapote, J., I. Etxeberria-Agiriano, E. Cilleruelo, and G. Garechana. "Analysis of technological knowledge flows in the Basque Country." International Journal of Production Management and Engineering 7 (June 5, 2019): 73. http://dx.doi.org/10.4995/ijpme.2019.10572.

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<p>Knowledge flow of technology is important for continuous growth and extension of science. Patent data analysis has facilitated this knowledge acquisition. The available patent information crosses borders, corresponds and interacts with new inventions to give new strength and dimension to the technology. Therefore, the patent citation information functions as a key indicator of the knowledge flow providing relevant information. It can be identified to which extent a region is a relevant technological knowledge generator to other regions. As an illustrative case, we present a study to d

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48

Su, Wei-Hao, Kai-Ying Chen, Louis Y. Y. Lu, and Ya-Chi Huang. "Identification of Technology Diffusion by Citation and Main Paths Analysis: The Possibility of Measuring Open Innovation." Journal of Open Innovation: Technology, Market, and Complexity 7, no. 1 (2021): 104. http://dx.doi.org/10.3390/joitmc7010104.

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This study collected literature on augmented reality (AR) from academic and patent databases to plot the historic development trajectory of AR and forecast its future research and development trends. A total of 3193 and 13,629 papers were collected from academic and patent databases, respectively. First, a network was established using references from the academic literature; main path analysis was conducted on this reference network to plot the overall development trajectory. Subsequent cluster and word cloud analyses revealed the following five major groups of AR research topics: AR surgical

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49

Acemoglu, Daron, Ufuk Akcigit, and William R. Kerr. "Innovation network." Proceedings of the National Academy of Sciences 113, no. 41 (2016): 11483–88. http://dx.doi.org/10.1073/pnas.1613559113.

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Technological progress builds upon itself, with the expansion of invention in one domain propelling future work in linked fields. Our analysis uses 1.8 million US patents and their citation properties to map the innovation network and its strength. Past innovation network structures are calculated using citation patterns across technology classes during 1975–1994. The interaction of this preexisting network structure with patent growth in upstream technology fields has strong predictive power on future innovation after 1995. This pattern is consistent with the idea that when there is more past

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50

Almeida, Paul. "LEARNING AND CONTRIBUTING: PATENT CITATION ANALYSIS OF FOREIGN MULTINATIONALS IN THE US SEMICONDUCTOR INDUSTRY." Academy of Management Proceedings 1996, no. 1 (1996): 363–67. http://dx.doi.org/10.5465/ambpp.1996.4980939.

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