Relevant bibliographies by topics / Patent Citation Analysis

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Academic literature on the topic 'Patent Citation Analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Patent Citation Analysis"

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

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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Patent Citation Analysis"

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Ferreira, Camila Belo Tavares. "O vínculo entre documentos de patentes e a informação obtida emperiódicos científicos: estudo aplicado à área câncer de mama." Universidade Federal do Rio de Janeiro / Instituto Brasileiro de Informação em Ciência e Tecnologia, 2012. http://ridi.ibict.br/handle/123456789/778.

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Made available in DSpace on 2015-10-19T11:50:25Z (GMT). No. of bitstreams: 1 ferreira012012.pdf: 858657 bytes, checksum: ddbf9a5656eab665a43259e0bcdc07ee (MD5) Previous issue date: 2012-03-29<br>Estudo exploratório bibliométrico dedicado à identificação de periódicos científicos que expressam a base de pesquisa técnico-científica na produção de novas tecnologias apresentada em documentos de patentes sobre câncer de mama. Analisa as contribuições das publicações científicas para a produção tecnológica por meio das citações a artigos de periódico em documentos de patentes publicados via Tratad
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Chauhan, Lokendra Pratap Singh. "Modelling stock market performance of firms as a function of the quality and quantity of intellectual property owned." Thesis, Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/16218.

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This thesis attempts to analyze a part of the big and complex process of how intellectual property ownership and technological innovation influence the performance of firms and their revenues. Here I analyze a firm's stock market performance as a function of the quantity and quality of intellectual property (patents) owned by the firm in context of the three US high-technology sectors, Pharmaceuticals, Semiconductors and Wireless. In these sectors, value of a firm is predominantly driven by the technologies which a firm owns. I use citation based indicators and number of claims to measure the
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Hsieh, Hsiao-Chi, and 謝曉琪. "Models and Application of Patent Citation Analysis." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/13961354325143089649.

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碩士<br>國立暨南國際大學<br>資訊管理學系<br>96<br>In recent years, there are many applications for patent analysis to forecast emerging technologies. Especially, citation plays an important role in the patent analysis field. However, current patent citations have certain drawbacks, such as that is difficult to grasp the overall relationship among patent documents, and citation analysis is a time-consuming task because it requires an exhaustive search. Therefore, this thesis applies an incidence matrix to analyze the citation information in patent citation networks. In order to analyze the patent citation and
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Hsieh, Hsiao-Chi. "Models and Application of Patent Citation Analysis." 2008. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0020-2808200823545400.

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Lin, Li-Ling, and 林莉陵. "Evaluating patent citation analysis from Social Network Analysis perspective." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/56319265138786768533.

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碩士<br>國立暨南國際大學<br>國際企業學系<br>97<br>Since the life cycle of Hi-Tech products becomes shorter and technology development and variety of market uncertainty get more complicated, the Network relation has more influence on these phenomena. Under the same environment and the limited resources, strategic makers have to deliberate the competition, cooperation or the complementariness of competition and cooperation strategy. In the past, researchers who only used dyadic view for patent citation analysis, so they can’t find the triadic or even multi information. In addition, some scholars even thought t
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Liang, Chen-Huan, and 梁振煥. "Combination of patent citation analysis with new patent development rules for analysis of the related dental light patents." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/95j7es.

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Chen-Yu, Huang, and 黃正宇. "Patent Bibliometric Performance Measure: A Modified Citation Rate Analysis with Dynamic Citation Windows." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/05461535061538771193.

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碩士<br>臺灣大學<br>工業工程學研究所<br>96<br>The object of this research is to enhance the former patent citation rate analysis method which utilizes one fixed citation window for every agency at all times by introducing a concept of dynamic citation windows and to extend the analysis for comparisons among agencies. The idea of cited half-life was adapted for patent assessment to establish a model of annually dynamic citation windows for each agency. Based on each agency’s annual citation window, its annual citation rate can then be obtained to measure its patent bibliometric performance. Because different
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Chen-Yu, Huang. "Patent Bibliometric Performance Measure: A Modified Citation Rate Analysis with Dynamic Citation Windows." 2007. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-1010200717421700.

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Cheng, Hsiang-Jui, and 鄭祥瑞. "The study of the impact of overlooking the patent’s pre-grant publication citations on patent citation analysis." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/46708530549439233481.

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碩士<br>國立臺灣科技大學<br>專利研究所<br>103<br>A patent&apos;s number of citations is often considered an indicator to the value or impact of the invention covered by the patent. However, patent applications, specifically utility patent applications, are published 18 months after filing and before they are granted a period of time later. These so-called pre-grant publications are public information and are citable as relevant prior art by the applicants or examiners of later patent applications before and after the pre-grant publications are granted. However, most patent analyses consider only the citation
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Lin, Shu-Wei, and 林樹煒. "Using Citation Networks Position Analysis for patent future Evaluation." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/46178884342102089276.

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碩士<br>國立清華大學<br>科技管理研究所<br>95<br>Patent analysis is very important information to compete with the competitors of enterprises and control the research progress for business. There are more and more scholars and research methodology to help patent analysis, but most crucial thing is that lots of patent information like the citing number only provided the emphasis of current time point; it can not get the emphasis of future from citing number. Social network analysis is a theory to analyses network graph, discus the actors function in the social network and it can present the current patent val
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Books on the topic "Patent Citation Analysis"

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Mancusi, Maria Luisa. International spillovers and absorptive capacity: A cross-country cross-sector analysis based on European patents and citations. Toyota Centre, London School of Economics, 2004.

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Book chapters on the topic "Patent Citation Analysis"

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Sung, Kihoon, Taehan Kim, and Hee-kyung Kong. "Microscopic Approach to Evaluating Technological Convergence Using Patent Citation Analysis." In U- and E-Service, Science and Technology. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17644-9_21.

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Huang, Ying, Yi Zhang, Jing Ma, Alan L. Porter, Xuefeng Wang, and Ying Guo. "Generating Competitive Technical Intelligence Using Topical Analysis, Patent Citation Analysis, and Term Clumping Analysis." In Innovation, Technology, and Knowledge Management. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39056-7_9.

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Lu, Zikui, Yue Ma, and Luona Song. "Patent Citation Network Analysis Based on Improved Main Path Analysis: Mapping Key Technology Trajectory." In Advances in Artificial Intelligence and Security. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78618-2_13.

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Arndt, Markus, and Ulrich Arndt. "A Tree Kernel Based on Classification and Citation Data to Analyse Patent Documents." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10745-0_62.

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Kim, Jieun, Buyong Jeong, and Daejung Kim. "Patent Citations Analysis." In Patent Analytics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2930-3_6.

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Velichety, Srikar, and Sudha Ram. "Common Citation Analysis and Technology Overlap Factor: An Empirical Investigation of Litigated Patents Using Network Analysis." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29863-9_21.

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Gavilanes-Trapote, J., Ernesto Cilleruelo-Carrasco, I. Etxeberria-Agiriano, Gaizka Garechana, and Alejandro Rodríguez Andara. "Qualitative Patents Evaluation Through the Analysis of Their Citations. Case of the Technological Sectors in the Basque Country." In Lecture Notes in Management and Industrial Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96005-0_28.

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Bekkers, Rudi, and Arianna Martinelli. "A Network Analysis Approach to Intellectual Property Research." In Handbook of Intellectual Property Research. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198826743.003.0033.

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Network Analysis (NA) provides a set of quantitative analytical tools used to examine the structural characteristics of networks. This analysis can be applied to any type of network (e.g. social networks, networks emerging from scientific collaborations, and networks of submarine cables). It is increasingly used on networks derived from intellectual property (IP) data, such as patent citation networks, patent co-inventors’ networks, and patent litigation networks. In this context, the analyses of the structure and the dynamics of these networks can provide valuable insights about the technological relations between firms, the assessment of firms technological leadership, and the evolution of technology. This chapter aims to provide an introduction to network analysis and illustrates its application using patent citation networks.
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Cattani, Gino, and Mariano Mastrogiorgio. "From Trees to Networks." In New Developments in Evolutionary Innovation. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198837091.003.0006.

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Empirical models are very common in evolutionary approaches to economics, strategy, and technological innovation, particularly those models based on large samples of patent data. Patents are legal documents that protect technologies from imitation when there is novelty and non-obviousness with respect to a prior art. Dependence on prior art means that patents cite each other and, by implication, patent databases take the form of large citation networks. Despite this implicit network nature of patent data, most current studies in innovation tend to rely on patent-based measures that exploit information within the citation network only at the local level. Nevertheless, a new stream known as ‘connectivity analysis’ is slowly emerging in the patent literature. From an evolutionary point of view, this stream is of particular importance because of its approach to patent data from a global—rather than from a local—network perspective. The aim of this chapter is to review these new directions and propose some ideas for how they could be used for modelling some of the key evolutionary phenomena discussed in this book.
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Ishii, Yasuyuki. "THE ROLE OF PATENT, CITATION AND OBJECTION STOCKS IN THE PRODUCTIVITY ANALYSIS OF R&D — USING JAPANESE COMPANY DATA." In Exploiting Intellectual Property to Promote Innovation and Create Value. WORLD SCIENTIFIC (EUROPE), 2017. http://dx.doi.org/10.1142/9781786343512_0014.

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Conference papers on the topic "Patent Citation Analysis"

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Ji, Taoran, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, and Naren Ramakrishnan. "Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/364.

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Modeling and forecasting forward citations to a patent is a central task for the discovery of emerging technologies and for measuring the pulse of inventive progress. Conventional methods for forecasting these forward citations cast the problem as analysis of temporal point processes which rely on the conditional intensity of previously received citations. Recent approaches model the conditional intensity as a chain of recurrent neural networks to capture memory dependency in hopes of reducing the restrictions of the parametric form of the intensity function. For the problem of patent citation
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Kapoor, R., S. Ranaei, M. Karvonen, and T. Kassi. "Patent portfolio analysis using citation categories." In 2013 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2013. http://dx.doi.org/10.1109/ieem.2013.6962502.

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Fujii, Atsushi. "Enhancing patent retrieval by citation analysis." In the 30th annual international ACM SIGIR conference. ACM Press, 2007. http://dx.doi.org/10.1145/1277741.1277912.

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Mogee, Mary Ellen. "Comparison of US, EPO, and PCT Patent Citations for Citation Analysis." In 2007 Atlanta Conference on Science, Technology and Innovation Policy. IEEE, 2007. http://dx.doi.org/10.1109/acstip.2007.4472902.

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Lai, Kuei-Kuei, Kuang Ou Yang, Calvin S. Weng, and Wen-Goang Yang. "Patent analysis of technology-performance by integrating patent family and patent citation." In Technology. IEEE, 2009. http://dx.doi.org/10.1109/picmet.2009.5262006.

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Liu, Zhiqiang, and Donghua Zhu. "Web Mining Based Patent Analysis and Citation Visualization." In 2009 Second Pacific-Asia Conference on Web Mining and Web-based Application (WMWA). IEEE, 2009. http://dx.doi.org/10.1109/wmwa.2009.33.

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Sharma, Pawan, Rashmi Tripathi, and R. C. Tripathi. "Patent citation network analysis for measuring the ICT patent progress in India." In 2016 International Conference on Computer Communication and Informatics. IEEE, 2016. http://dx.doi.org/10.1109/iccci.2016.7479980.

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Brinn, M. W., J. M. Fleming, F. M. Hannaka, C. B. Thomas, and P. A. Beling. "Investigation of forward citation count as a patent analysis method." In Proceedings of the 2003 IEEE Systems and Information Engineering Design Symposium. IEEE, 2003. http://dx.doi.org/10.1109/sieds.2003.157996.

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Beltz, Hayley, Aniko Fulop, Raoul R. Wadhwa, and Peter Erdi. "From ranking and clustering of evolving networks to patent citation analysis." In 2017 International Joint Conference on Neural Networks (IJCNN). IEEE, 2017. http://dx.doi.org/10.1109/ijcnn.2017.7966015.

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Huang, Jia-Yan, and Pei-Hua Zhuang. "Application of Citation Relationship and Co-word Method on Patent Analysis of Cloud PaaS." In 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017). Atlantis Press, 2017. http://dx.doi.org/10.2991/amms-17.2017.21.

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Reports on the topic "Patent Citation Analysis"

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Carney, Nancy, Tamara Cheney, Annette M. Totten, et al. Prehospital Airway Management: A Systematic Review. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepccer243.

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Objective. To assess the comparative benefits and harms across three airway management approaches (bag valve mask [BVM], supraglottic airway [SGA], and endotracheal intubation [ETI]) by emergency medical services in the prehospital setting, and how the benefits and harms differ based on patient characteristics, techniques, and devices. Data sources. We searched electronic citation databases (Ovid® MEDLINE®, CINAHL®, the Cochrane Central Register of Controlled Trials, the Cochrane Database of Systematic Reviews, and Scopus®) from 1990 to September 2020 and reference lists, and posted a Federal
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Garsa, Adam, Julie K. Jang, Sangita Baxi, et al. Radiation Therapy for Brain Metasases. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepccer242.

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Objective. This evidence report synthesizes the available evidence on radiation therapy for brain metastases. Data sources. We searched PubMed®, Embase®, Web of Science, Scopus, CINAHL®, clinicaltrials.gov, and published guidelines in July 2020; assessed independently submitted data; consulted with experts; and contacted authors. Review methods. The protocol was informed by Key Informants. The systematic review was supported by a Technical Expert Panel and is registered in PROSPERO (CRD42020168260). Two reviewers independently screened citations; data were abstracted by one reviewer and checke
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