Relevant bibliographies by topics / Patent Citations

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Patent Citations'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 March 2023

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Journal articles on the topic "Patent Citations"

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Nair, Shyam Sreekumaran, and Mary Mathew. "The Dynamics Between Forward Citations and Price of Singleton Patents." International Journal of Innovation and Technology Management 12, no. 03 (June 2015): 1540003. http://dx.doi.org/10.1142/s0219877015400039.

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In recent years, business practitioners are seen valuing patents on the basis of the market price that the patent can attract. Researchers have also looked into various patent latent variables and firm variables that influence the price of a patent. Forward citations of a patent are shown to play a role in determining price. Using patent auction price data (of Ocean Tomo now ICAP patent brokerage), we delve deeper into the role of forward citations. The successfully sold 167 singleton patents form the sample of our study. We found that, it is mainly the right tail of the citation distribution that explains the high prices of the patents falling on the right tail of the price distribution. There is consistency in the literature on the positive correlation between patent prices and forward citations. In this paper, we go deeper to understand this linear relationship through case studies. Case studies of patents with high and low citations are described in this paper to understand why some patents attracted high prices. We look into the role of additional patent latent variables like age, technology discipline, class and breadth of the patent in influencing citations that a patent receives.
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Og, Joo Young, Krzysztof Pawelec, Byung-Keun Kim, Rafal Paprocki, and EuiSeob Jeong. "Measuring Patent Value Indicators with Patent Renewal Information." Journal of Open Innovation: Technology, Market, and Complexity 6, no. 1 (March 2, 2020): 16. http://dx.doi.org/10.3390/joitmc6010016.

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This paper attempts to fill a research gap of literature by constructing the dynamic model into which both ex ante and ex post patent value indicators are incorporated. A patent renewal model is tested using a large set of Pharmaceutical patents granted by the European Patent Office between 1996 and 2009. We test five ex ante indicators and single ex post indicator including family size, patent backward citations, backward references to non-patent literature, number of claims, number of inventors, renewal fee, patent age, application year, and the ex post indicator forward citations. Empirical findings show that three citation related indicators, family size, and the number of claims are positively associated with patent values, while the number of inventors, renewal fee, patent age, and application year are negatively correlated. In addition, forward citations seem to have persistent learning effects on patent values.
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Atallah, Gamal, and Gabriel Rodríguez. "Indirect patent citations." Scientometrics 67, no. 3 (June 2006): 437–65. http://dx.doi.org/10.1556/scient.67.2006.3.7.

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Kuhn, Jeffrey, Kenneth Younge, and Alan Marco. "Patent citations reexamined." RAND Journal of Economics 51, no. 1 (March 2020): 109–32. http://dx.doi.org/10.1111/1756-2171.12307.

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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 (December 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 Cohen and Levinthal's absorptive capacity model. In addition, these findings' plausibility was confirmed through an interview with a practising research manager.
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NIKULAINEN, TUOMO, RAINE HERMANS, and MARTTI KULVIK. "PATENT CITATIONS INDICATING PRESENT VALUE OF THE BIOTECHNOLOGY BUSINESS." International Journal of Innovation and Technology Management 05, no. 03 (September 2008): 279–301. http://dx.doi.org/10.1142/s0219877008001436.

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In this paper our aim is to assess the potential of using patent statistics in predicting the future sales anticipations and present value of a company active in the science-based industry. Instead of using conventional patent and patent application counts as indicators, we constructed patent citation weighted portfolios for each company. This way the heterogeneity of patents can be taken into account. Our data covers biotechnology patents held by Finnish biotechnology companies. Empirical results imply that particularly backward citations are related to present value estimations of the companies. In contrast to some previous studies, forward citations do not seem to predict the present value estimations. The findings provide some important implications on interpreting the significance of patent citations regarding valuation of science-based companies, and planning technology and innovation policies.
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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 (July 8, 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 preliminarily introduce a suitable support directed network representing patents and their citations. After this, the authors present the centrality measures, namely, “Naive Patent Degree” and “Refined Patent Degree.’” Then, the authors show why they are well tailored to capture the specificities of the patent scenario and why classical centrality measure fails to fully reach this purpose. Findings The authors present three possible applications of the measures, namely: the computation of a patent “scope” allowing the evaluation of the width and the strength of the influence of a patent on a given R&D field; the computation of a patent lifecycle; and the detection of the so-called “power patents,” i.e., the most relevant patents, and the investigation of the importance, for a patent, to be cited by a power patent. Originality/value None of the approaches proposing the application of centrality measures to patent citation networks consider the main peculiarity of this scenario, i.e., that, if a patent pi cites a patent pj, then the value of pi decreases. So, differently from classical scientific paper citation scenario, in this one performing a citation has a cost for the citing entity. This fact is not considered by all the approaches conceived to investigate paper citations. Nevertheless, this feature represents the core of patent citation scenario. The approach has been explicitly conceived to capture this feature.
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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 (September 14, 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 (X/Y-equivalent) citation coincidences between the USPTO and the EPO according to family-to-family citation criteria increases after the release of search reports by the EPO. It suggests that the US examiners capture spillovers of search efforts from the EPO, namely, the USPTO examiners rely on prior art information collected and disclosed by the EPO. The results also reveal that International Search Reports (ISRs) prepared for Patent Corporation Treaty (PCT) applications, as well as applicant-submitted citations, play important roles for the convergence of rejection citations between the two patent offices. We furthermore find that the US examiners are less likely to add the same patent citations as the EPO examiners when rejections are persistently repeated at the USPTO. The methodology in this paper introduces the novel use of patent examiner citations to compare examiners’ citing behavior across jurisdictions.
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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 (December 3, 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 perspectives of a patent citation network which has not been studied earlier. We demonstrate that social properties such as homophily (the inclination to cite patents from the same country or in the same language) and transitivity (the inclination to cite references’ references) together with the technicalities of the patents (e.g., language, categories), has a significant effect on citations. We also provide an in-depth analysis of citations for sectors in patents and how it is affected by the size of the same. Overall, our paper delves into European patents with the aim of providing new insights and serves as an account for fitting ERGMs on large networks and analyzing them. ERGMs help us model network mechanisms directly, instead of acting as a proxy for unspecified dependence and relationships among the observations.
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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 (October 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 which were granted between 1873 to 2002 from the database of United States Patent and Trademark Office, queries from the patent data set of National Bureau of Economic Research to get 14214 patent citations, and uses the network analysis software Pajek to build the patent citation network. The results of the knowledge adaptability evaluation of fuel cell reflect that the knowledge dissemination process is composed of knowledge inheritance, knowledge innovation and knowledge recombinant. The patents whose knowledge adaptation factors are relatively high are subordinate to the technological evolutionary process of fuel cell. It is consistent with the central idea of knowledge adaptation factor, which is technological-evolution-oriented.
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Dissertations / Theses on the topic "Patent Citations"

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Daines, Gregory P. "Patent citations and licensing value." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/39530.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 2007.
Includes bibliographical references (leaves 68-71).
Innovation has become the dominant economic idea of our time and has resulted in a proliferation of innovation-oriented rhetoric, and policies. There is a great need to understand and harness innovation, but it has proven to be as difficult to measure as it is to define. At present, the quest to understand innovation hinges on finding reliable ways to identify and measure it, the most promising of which is the analysis of patent information. Patents have been increasingly used by economists to track inventiveness, the transmission of knowledge, and their economic impact. However, it is evident that the maiority of patents have little or no economic potential, and so merely observing the number of patents provides little insight on innovation. It has become important, therefore, to develop reliable methods for measuring the true economic potential of patents. Of all the solutions proposed, the analysis of patent citations is the most promising. This study examines the relationship between patent citations and the private economic value of patents, and makes both theoretical and empirical contributions.
(cont.) First, the previous literature is reviewed to further extend and clarify the theory of the economic meaning of patent citations. Second, a typology of patent value is proposed to contextualize the relevance of the theory under different appropriation regimes. Finally, this study tests the economic meaning of citations using a new dataset where the licensing value of a group of patents is observed directly. The findings confirm a consistent relationship between patent citations and two different measures of patent value.
by Gregory P. Daines.
M.B.A.
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Dolev, Uryia. "Exploring the Importance of Innovations with Patent Citations." Thesis, University of Canterbury. Economics, 2007. http://hdl.handle.net/10092/867.

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This thesis begins by outlining the theoretical and empirical foundations of the economics of innovations. It then proceeds by analysing four econometric issues in the measurement of technological knowledge embedded in patented innovations and modelling the statistical relationship of the value of patented innovations originating in the G-5 countries overtime. This thesis contributes to the economics of innovation literature in four areas: (1) a comprehensive review of the proxies available to elicit the value embodied in patented inventions (2) a direct comparison of regression estimates based on citations count dependent variable versus citations-weighted dependent variable (3) an introduction and application of Regression Tree and Graphical Modelling methodologies to model patented inventions (4) estimation of the fluctuations and associations in the values of patented innovation in the G-5 countries using patent citations.
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Meldrum, Mark Brent. "Finding Fertile Time: A Temporal Investigation of Opportunity Using Patent Citation Data." Cleveland, Ohio : Case Western Reserve University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=case1248046746.

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Thesis(Ph.D.)--Case Western Reserve University, 2009
Title from PDF (viewed on 2009-11-23) Department of Management Includes abstract Includes bibliographical references and appendices Available online via the OhioLINK ETD Center
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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 quality of patents. This research presents empirical evidence for the hypothesis that in high-tech sectors, companies which generate better quality intellectual property perform better than average in the stock market. I also posit that firms which are producing better quality technologies (good R&D) invest more in R&D regardless of their market performance. Furthermore, though smaller firms get relatively less returns on quality and quantity of innovation, they tend to invest a bigger fraction of their total assets in R&D when they are generating high quality patents. Larger firms enjoy the super-additivity effects in terms of market performance as the same intellectual property gives better returns to them. In addition, returns to R&D are relatively higher in the pharmaceutical industry than semiconductor or wireless industries.
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Aldieri, Luigi. "Three essays on knowledge diffusion and firms' economic performance." Doctoral thesis, Universite Libre de Bruxelles, 2011. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209840.

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In this research, our main goal rests in the analysis of the main determinants and the features of output performance of firms. First, we will investigate the direct and the indirect effects (spillovers) of Research and Development (R&D) investments on firms’ total factor productivity growth. To that end, we begin by estimating the returns to R&D by using international micro level data, as first proposed in Griliches (1979). We quantify the effects on firms’ productivity of exogenous variations in the state of technology and of the R&D of other firms (R&D spillovers, Jaffe, 1986). Second, we will try to take into account the firms’ ability to identify, assimilate and exploit existing information, that is their absorptive capacity (Cohen, Levinthal 1989). We assume that the elasticity of output (or value added) to national or foreign stock of spillovers depend on the chosen measure of Absorptive Capacity, which generally is represented by own R&D capital. The positive effect of the interaction between own R&D capital and the spillover pool term indicates the firm ability to absorb new ideas from outside, while its negative effect gives evidence of necessity to invest more in own R&D. Third, we will explore the question whether geographic and technological proximities affect the knowledge flows, proxied by patent citations for large international firms and how these effects change over time. We expect that the geographical proximity impact on knowledge flows is decreasing over time, since information travels at lower communication costs over time (Coyle, 1997 and Friedman, 2005). Yet, according to Evans and Harringan (2005), distance is still relevant in some technological sectors, where face-to-face interaction is fundamental and knowledge is tacit and hard to codify. Then, it is also interesting to analyse the impact of technological proximity on knowledge flows over time.
Doctorat en Sciences économiques et de gestion
info:eu-repo/semantics/nonPublished
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Garanasvili, Antanina. "Essays on the Economics of Intellectual Property." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3423280.

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Abstract Chapter 1 The European Patent System (EPS) consists of National Offices and the European Patent Office (EPO). The complexity of the system is mirrored in the complexity of strategic options available to patentees when selecting the route of patenting. To date there is little evidence on how firms choose between EPO and national offices, nor which parameters influence this choice. The paper provides a recursive model of the two principal choices made by patent applicants: the selection of examining offices and of jurisdictions in which patent protection is obtained. We then derive and estimate instrumental variables models to establish the relative importance of fees, grant rates, examination duration and firm and patent characteristics in these choices. We identify sectors and types of firms that predominantly rely on the national offices or the EPO. We also identify significant levels of switching, driven by variation in grant rates across offices and by fee changes as well as variation in the duration of examination. We discuss implications of our work for theoretical and empirical analyses of patent systems. Abstract Chapter 2 Aim of this analysis is to study whether the global financial crisis of 2008 had a significant effect on how stock markets value firms’ investments in knowledge and branding as well as complementary investments in patents and trademarks. Building on data from European Intellectual Property Office (EUIPO) and European Patent Office (EPO) we construct a firm panel covering R&D, marketing and IP investments over the period 2005-2012. In addition, we estimate market value equations for the years 2005-2008 and 2009-2012. Empirical findings suggest that there are interesting differences in which investments contributed to market value before and after 2008. First, investments in R&D contribute far more significantly to the market value after the crisis than before. Second, it becomes apparent that after the crisis patent quality arises as a significant factor which increases value of the companies. At the same time patent quantity ceases to be an influencing factor in the market value equation after 2008.
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Pillu, Hugo. "Knowledge flows through patent citation data." Phd thesis, Ecole Centrale Paris, 2009. http://tel.archives-ouvertes.fr/tel-00458678.

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Dans cette thèse, nous analysons les différents aspects des externalités de connaissance et la façon dont les citations de brevet peuvent être utilisées comme un indicateur de ces flux. La première partie de cette thèse examine la littérature traditionnelle sur les externalités de connaissance, et cela d'un point de vue à la fois qualitatif et quantitatif (la forme quantitative est réalisée grâce à une méta-analyse). Nous insistons sur les conséquences résultant de l'utilisation de différents canaux de mesure de ces externalités, précisément nous nous attardons sur les hypothèses sous-jacentes et sur leurs implications en termes d'estimations empiriques. Ce point est important car ces canaux sont la principale source d'hétérogénéité des résultats empiriques. Dans la seconde partie, nous explorons des données de brevets et de citations de brevet encore peu étudiées (ces données sont extraites de la base de données Patstat pour les offices de brevets du G5, de l'OEB et de l'OMPI). Cette analyse est à nouveau réalisée à la fois en termes qualitatifs et quantitatifs. La troisième partie, dans un premier temps, examine de façon empirique les caractéristiques des flux de connaissance entre et au sein des inventeurs des pays du G5 et cela pour 13 secteurs industriels. Dans un deuxième temps, cette partie propose et valide la création d'un indicateur de stocks de connaissance qui prend en compte les externalités de connaissance internationales. Cet indicateur se révèle particulièrement utile puisque les indicateurs traditionnels ne sont pas toujours disponibles (comme les indicateurs basés sur les dépenses de R&D). Enfin, l'indicateur précédemment créé sera appliqué à une étude de cas consacrée à l'analyse des déterminants de l'innovation pour les technologies énergétiques efficientes.
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Reichling, Peter, and P. G. Pererva. "Estimation of commercial value of patents." Thesis, NTU "KhPI", 2017. http://repository.kpi.kharkov.ua/handle/KhPI-Press/34948.

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Based on our analysis of approaches to citing patents and their use as a factor in the commercial value of the results of creative activity, in our opinion, it is extremely important to determine the valuation of a patent and to forecast its commercial potential. Traditional approaches to determining the valuation of intellectual property are well known, but they do not take into account, in our opinion, an extremely important component that is related to the patent citation index.
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Aduku, Kuku J. "Can web indicators be used to estimate the citation impact of conference papers in engineering?" Thesis, University of Wolverhampton, 2019. http://hdl.handle.net/2436/622102.

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Although citation counts are widely used to support research evaluation, they can only reflect academic impacts, whereas research can also be useful outside academia. There is therefore a need for alternative indicators and empirical studies to evaluate them. Whilst many previous studies have investigated alternative indicators for journal articles and books, this thesis explores the importance and suitability of four web indicators for conference papers. These are readership counts from the online reference manager Mendeley and citation counts from Google Patents, Wikipedia and Google Books. To help evaluate these indicators for conference papers, correlations with Scopus citations were evaluated for each alternative indicator and compared with corresponding correlations between alternative indicators and citation counts for journal articles. Four subject areas that value conferences were chosen for the analysis: Computer Science Applications; Computer Software Engineering; Building & Construction Engineering; and Industrial & Manufacturing Engineering. There were moderate correlations between Mendeley readership counts and Scopus citation counts for both journal articles and conference papers in Computer Science Applications and Computer Software. For conference papers in Building & Construction Engineering and Industrial & Manufacturing Engineering, the correlations between Mendeley readers and citation counts are much lower than for journal articles. Thus, in fields where conferences are important, Mendeley readership counts are reasonable impact indicators for conference papers although they are better impact indicators for journal articles. Google Patent citations had low positive correlations with citation counts for both conference papers and journal articles in Software Engineering and Computer Science Applications. There were negative correlations for both conference papers and journal articles in Industrial and Manufacturing Engineering. However, conference papers in Building and Construction Engineering attracted no Google Patent citations. This suggests that there are disciplinary differences but little overall value for Google Patent citations as impact indicators in engineering fields valuing conferences. Wikipedia citations had correlations with Scopus citations that were statistically significantly positive only in Computer Science Applications, whereas the correlations were not statistically significantly different from zero in Building & Construction Engineering, Industrial & Manufacturing Engineering and Software Engineering. Conference papers were less likely to be cited in Wikipedia than journal articles were in all fields, although the difference was minor in Software Engineering. Thus, Wikipedia citations seem to have little value in engineering fields valuing conferences. Google Books citations had positive significant correlations with Scopus-indexed citations for conference papers in all fields except Building & Construction Engineering, where the correlations were not statistically significantly different from zero. Google Books citations seemed to be most valuable impact indicators in Computer Science Applications and Software Engineering, where the correlations were moderate, than in Industrial & Manufacturing Engineering, where the correlations were low. This means that Google Book citations are valuable indicators for conference papers in engineering fields valuing conferences. Although evidence from correlation tests alone is insufficient to judge the value of alternative indicators, the results suggest that Mendeley readers and Google Books citations may be useful for both journal articles and conference papers in engineering fields that value conferences, but not Wikipedia citations or Google Patent citations.
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Biglu, Mohammad Hossein. "Scientometric study of patent literature in MEDLINE & SCI." Doctoral thesis, Humboldt-Universität zu Berlin, Philosophische Fakultät I, 2008. http://dx.doi.org/10.18452/15735.

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Die Studie wird in fünf Teile unterteilt: Das erste Kapitel beschäftigt sich mit Patentanmeldungen und geförderten Patenten im USPTO, WIPO, und EPO. In diesem Kapitel wird die Korrelation zwischen dem BIP und der länderspezifischen Patentanzahl analysiert. Das zweite Kapitel gibt einen Überblick über die Literatur über Patente in MEDLINE. In diesem Kapitel wird eine szientometrische Analyse durchgeführt, damit die Entwicklung der Patentliteratur in MEDLINE über den Zeitraum von 1965 bis 2005 quantitativ gemessen werden kann. Das dritte Kapitel befasst sich mit der Literatur über Patente im SCI. In diesem Kapitel werden alle Dokumente, die vom SCI über den Zeitraum 1965 bis 2005 als “Patents“ indexiert wurden, unter die Lupe genommen. Das vierte Kapitel analysiert die Patenten, die im SCI zitiert werden. Das fünfte Kapitel analysiert die Anzahl der Literaturhinweise (Referenzen) pro Veröffentlichung im SCI über den Zeitraum 1970-2005. In diesem Hinblick wurde eine Gesamtzahl von 10,000 Dokumenten pro Jahr ausgesucht sowie der Bedeutungswert von Nennungen pro Zeitschrift berechnet. Die Analyse der Daten ergab: Die USA sind das führende Land bezüglich der Erstellung und der Zulassung von Patenten, gleichermaßen gefolgt von Japan und Deutschland. Die Halbwertszeit der Zitierung von Patenten beträgt seit 1994 konstant 8,1 Jahre. Das ist eine 41% längere Zitierungsrate gegenüber den allgemeinen wissenschaftlichen Dokumenten im SCI. Es gibt eine lineare Korrelation zwischen der Zahl von Literaturhinweisen (Referenzen) in einem Journal, wie sie im SCI erfasst sind, und der Wahrscheinlichkeit zitiert zu werden. Die Anzahl der Literaturhinweise (Referenzen) pro Veröffentlichung zwischen 1970 und 2005 im SCI ist ständig angestiegen. Die Selbstzitation von Zeitschriften bei einer steigenden Zahl von Verweisen beeinflusst die Steigerung des Impact Factor im SCI. Die Leitartikelpolitik der Sprachen wurde in der MEDLINE und im SCI geändert.
This study is divided into five sections. The first section consists of patent applications and granted patents issued by USPTO, WIPO), and EPO. In this section the relationship between the GDP and country’s patent quantity is analysed. The second section analysis the patent literature in MEDLINE. In this section a scientometric analysis is performed to assess the quantitative trend of patent literature in MEDLINE throughout 1965-2005. The third section analysis the patent literature in the SCI. In this section all documents indexed as a topic of “patents” in the SCI throughout 1965-2005 are analysed. The fourth section analysis the citations to the patent documents indexed in the SCI, and illustrate the average number of cited references per paper for patent citing documents. The fifth section analysis the references per paper in the SCI through 1970-2005. The Analyses of data showed: The USA is the leading country filing and granting patents followed by Japan and Germany respectively. The half-life of citations to the patent-documents is 41% higher than the half-life of citations to the general scientific documents in the SCI. The number of references per paper from 1970 to 2005 has steadily increased. The rough constant percentage of self-citation of journals and the growing increase of references per paper led to the absolute growing number of self-citations and to the increase of the Impact Factor of the citing journals in the SCI. The editorial policy of languages is being changed in MEDLINE and in the SCI. The consideration of policy makers in these databases have been focused on the literature of science in English. There was a tendency in the last decades towards collaboration in scientific publishing with American authors that can be observed in the SCI with authors from different countries.
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Books on the topic "Patent Citations"

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Jaffe, Adam B. International knowledge flows: Evidence from patent citations. Cambridge, MA: National Bureau of Economic Research, 1998.

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Hall, Bronwyn H. Market value and patent citations: A first look. Cambridge, MA: National Bureau of Economic Research, 2000.

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Jaffe, Adam B. Geographic localization of knowledge spillovers as evidenced by patent citations. Cambridge, MA: National Bureau of Economic Research, 1992.

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Hall, Bronwyn H. The NBER patent citations data file: Lessons, insights and methodological tools. Cambridge, MA: National Bureau of Economic Research, 2001.

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Hu, Albert G. Z. Patent citations and international knowledge flow: The cases of Korea and Taiwan. Cambridge, MA: National Bureau of Economic Research, 2001.

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Branstetter, Lee. Is academic science driving a surge in industrial innovation?: Evidence from patent citations. Cambridge, MA: National Bureau of Economic Research, 2005.

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Jaffe, Adam B. Evidence from patents and patent citations on the impact of NASA and other federal labs on commercial innovation. Cambridge, MA: National Bureau of Economic Research, 1997.

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Griffith, Rachel. Is distance dying at last?: Falling home bias in fixed effects models of patent citations. Cambridge, Mass: National Bureau of Economic Research, 2007.

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Jaffe, Adam B. The meaning of patent citations: Report on the NBER/Case-Western Reserve Study of Patentees. Cambridge, MA: National Bureau of Economic Research, 2000.

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Griffith, Rachel. Is distance dying at last?: Falling home bias in fixed effects models of patent citations. Cambridge, MA: National Bureau of Economic Research, 2007.

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Book chapters on the topic "Patent Citations"

1

Gittelman, Michelle. "Patent Citations." In The Palgrave Encyclopedia of Strategic Management, 1247–51. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-137-00772-8_361.

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Gittelman, Michelle. "Patent Citations." In The Palgrave Encyclopedia of Strategic Management, 1–5. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-349-94848-2_361-1.

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Kim, Jieun, Buyong Jeong, and Daejung Kim. "Patent Citations Analysis." In Patent Analytics, 73–82. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2930-3_6.

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Sampat, Bhaven N., and Arvids A. Ziedonis. "Patent Citations and the Economic Value of Patents." In Handbook of Quantitative Science and Technology Research, 277–98. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/1-4020-2755-9_13.

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Fischer, Manfred M., Thomas Scherngell, and Eva Jansenberger. "Patents, Patent Citations and the Geography of Knowledge Spillovers in Europe." In Advances in Spatial Science, 331–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01017-0_18.

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Archibugi, Daniele, and Mario Pianta. "Changes over Time and Impact of Patenting Activity: The Sectoral Distribution of Patent Counts and Patent Citations in the US." In The Technological Specialization of Advanced Countries, 60–78. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-015-7999-5_5.

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Simmons, Edlyn S. "Patents and Patent Citation Searching." In ACS Symposium Series, 81–94. Washington, DC: American Chemical Society, 2014. http://dx.doi.org/10.1021/bk-2014-1164.ch005.

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Jinji, Naoto, Xingyuan Zhang, and Shoji Haruna. "Trade Patterns and International Technology Spillovers: Theory and Evidence from Japanese and European Patent Citations." In Advances in Japanese Business and Economics, 71–97. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5210-3_5.

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AbstractInternational diffusion of knowledge is important to both the speed of the world’s technology frontier expansion and income convergence across countries. For example, Eaton and Kortum (1996) estimate innovation and technology diffusion among 19 Organization for Economic Co-operation and Development (OECD) countries to test predictions from a quality ladders model of endogenous growth with patenting.
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Beltz, Hayley, Timothy Rutledge, Raoul R. Wadhwa, Péter Bruck, Jan Tobochnik, Anikó Fülöp, György Fenyvesi, and Péter Érdi. "Ranking Algorithms: Application for Patent Citation Network." In Information Fusion and Data Science, 519–38. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-03643-0_21.

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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, 188–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17644-9_21.

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Conference papers on the topic "Patent Citations"

1

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}. California: 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 citations, we observe that forecasting a patent's chain of citations benefits from not only the patent's history itself but also from the historical citations of assignees and inventors associated with that patent. In this paper, we propose a sequence-to-sequence model which employs an attention-of-attention mechanism to capture the dependencies of these multiple time sequences. Furthermore, the proposed model is able to forecast both the timestamp and the category of a patent's next citation. Extensive experiments on a large patent citation dataset collected from USPTO demonstrate that the proposed model outperforms state-of-the-art models at forward citation forecasting.
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Wang, Shuting, Zhen Lei, and Wang-Chien Lee. "Exploring Legal Patent Citations for Patent Valuation." In CIKM '14: 2014 ACM Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2661829.2662029.

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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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Song, Hyeonik, Daniel Selva, and Daniel A. McAdams. "Patent Mining to Understand Functional Evolution of Engineered Products." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-89405.

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Abstract This work presents a patent mining methodology to qualitatively examine functional evolution of engineered products. Using a topic modeling method called Nonnegative Matrix Factorization, topics of nutcracker- and drone-related patents of different time frames are automatically generated to understand how the two products have functionally evolved over time. The topic modeling results demonstrate that nutcracker’s nut cracking mechanism has changed from an impact method to a rotating method for facilitating mass production. Drone system has evolved from a mechanical system with flight capability to an electromechanical system widening its application in package delivery and videography. The topic modeling results provide different design insights that could assist designers during the early product development process. In addition to the topic modeling approach, an analysis with patent citations is performed to gain additional insights about the functional evolution of the engineered products. The patent citation analysis suggests that the topic modeling approach provides a reasonable illustration of how products have evolved over time, but the algorithm requires improvement as some functional aspects of a product can be obscured by topics that simply characterize the technology. The objective of the study is to provide a basis for automated modeling of patents to understand the functional evolution of engineered products.
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Brantle, Thomas F., and M. Hosein Fallah. "Complex Innovation Networks, Patent Citations and Power Laws." In PICMET '07 - 2007 Portland International Conference on Management of Engineering & Technology. IEEE, 2007. http://dx.doi.org/10.1109/picmet.2007.4349367.

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Rongdi Ji and Jun Wang. "Analysis on determinants of knowledge diffusion based on patent citations." In 2011 International Conference on Business Management and Electronic Information (BMEI). IEEE, 2011. http://dx.doi.org/10.1109/icbmei.2011.5920435.

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Shaikh, Abdul Rahman, and Hamed Alhoori. "Predicting Patent Citations to Measure Economic Impact of Scholarly Research." In 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL). IEEE, 2019. http://dx.doi.org/10.1109/jcdl.2019.00089.

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"Knowledge Diffusion from Japanese Universities to Industry Using Patent Citations." In International Conference on Trends in Economics, Humanities and Management. International Centre of Economics, Humanities and Management, 2014. http://dx.doi.org/10.15242/icehm.ed0814074.

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Kuan, C. H., and H. J. Cheng. "Do we miscount patent citations? An empirical study on the impact of overlooking the citations to a patent's pre-grant publication." In 2014 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2014. http://dx.doi.org/10.1109/ieem.2014.7058795.

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Shiao-Chun Wu and Hung-Yi Chen. "Recognizing the core technology capabilities for companies through patent co-citations." In 2007 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE, 2007. http://dx.doi.org/10.1109/ieem.2007.4419558.

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Reports on the topic "Patent Citations"

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Jaffe, Adam, and Manuel Trajtenberg. International Knowledge Flows: Evidence from Patent Citations. Cambridge, MA: National Bureau of Economic Research, April 1998. http://dx.doi.org/10.3386/w6507.

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Bryan, Kevin, Yasin Ozcan, and Bhaven Sampat. In-Text Patent Citations: A User’s Guide. Cambridge, MA: National Bureau of Economic Research, April 2019. http://dx.doi.org/10.3386/w25742.

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Hall, Bronwyn, Adam Jaffe, and Manuel Trajtenberg. Market Value and Patent Citations: A First Look. Cambridge, MA: National Bureau of Economic Research, June 2000. http://dx.doi.org/10.3386/w7741.

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Abrams, David, Ufuk Akcigit, and Jillian Grennan. Patent Value and Citations: Creative Destruction or Strategic Disruption? Cambridge, MA: National Bureau of Economic Research, November 2013. http://dx.doi.org/10.3386/w19647.

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Jaffe, Adam, Manuel Trajtenberg, and Rebecca Henderson. Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations. Cambridge, MA: National Bureau of Economic Research, February 1992. http://dx.doi.org/10.3386/w3993.

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Lee, Jihong, Ryungha Oh, Sokbae (Simon) Lee, and Hyuk-Soo Kwon. Knowledge spillovers and patent citations: trends in geographic localization, 1976-2015. The IFS, December 2017. http://dx.doi.org/10.1920/wp.cem.2017.5517.

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Oh, Ryungha, Sokbae (Simon) Lee, Jihong Lee, and Hyuk-Soo Kwon. Knowledge spillovers and patent citations: trends in geographic localization, 1976-2015. The IFS, October 2019. http://dx.doi.org/10.1920/wp.cem.2019.5819.

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Hu, Albert G. Z., and Adam Jaffe. Patent Citations and International Knowledge Flow: The Cases of Korea and Taiwan. Cambridge, MA: National Bureau of Economic Research, October 2001. http://dx.doi.org/10.3386/w8528.

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Kwon, Soonwoo, Jihong Lee, and Sokbae (Simon) Lee. International trends in technological progress: stylized facts from patent citations, 1980-2011. Institute for Fiscal Studies, March 2014. http://dx.doi.org/10.1920/wp.cem.2014.1614.

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Moser, Petra, Joerg Ohmstedt, and Paul Rhode. Patent Citations and the Size of the Inventive Step - Evidence from Hybrid Corn. Cambridge, MA: National Bureau of Economic Research, July 2015. http://dx.doi.org/10.3386/w21443.

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