Patent citation spectroscopy (PCS): Online retrieval of landmark patents based on an algorithmic approach

Comins, Jordan A.; Carmack, Stephanie A; Leydesdorff, Loet

doi:10.1016/j.joi.2018.10.002

Cited by 8 publications

(7 citation statements)

References 37 publications

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“…However, in more recent RPYs, many CRs contribute to single peaks to a similar extent, which make it difficult to select single influential CRs. As a possible solution for the problem of identifying the influential CRs (especially in recent years), Comins, Carmack, and Leydesdorff (2017) proposed calculating an indicator for every CR in the set whereby the proportion of occurrences of a CR in the corresponding RPY is weighted by the median deviation. This is the deviation of the number of CRs in the focal year (Y) from the median for the number of CRs in the X previous, the current, and the X following years.…”

Section: Discussionmentioning

confidence: 99%

Identifying single influential publications in a research field: new analysis opportunities of the CRExplorer

Thor¹,

Bornmann

Marx

et al. 2018

Scientometrics

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Reference Publication Year Spectroscopy (RPYS) has been developed for identifying the cited references (CRs) with the greatest influence in a given paper set (mostly sets of papers on certain topics or fields). The program CRExplorer (see www.crexplorer.net) was specifically developed by Bornmann (2016a, 2016b) for applying RPYS to publication sets downloaded from Scopus or Web of Science. In this study, we present some advanced methods which have been newly developed for CRExplorer. These methods are able to identify and characterize the CRs which have been influential across a longer period (many citing years). The new methods are demonstrated in this study using all the papers published in Scientometrics between 1978 and 2016. The indicators N_TOP50, N_TOP25, and N_TOP10 can be used to identify those CRs which belong to the 50%, 25%, or 10% most frequently cited publications (CRs) over many citing publication years. In the Scientometrics dataset, for example, Lotka's (1926) paper on the distribution of scientific productivity belongs to the top 10% publications (CRs) in 36 citing years. Furthermore, the new version of CRExplorer analyzes the impact sequence of CRs across citing years. CRs can have below average (-), average (0), or above average (+) impact in citing years (whereby average is meant in the sense of expected values). The sequence (e.g. 00++---0--00) is used by the program to identify papers with typical impact distributions. For example, CRs can have early, but not late impact ("hot papers", e.g. +++---) or vice versa ("sleeping beauties", e.g. ---0000---++).

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Section: Discussionmentioning

confidence: 99%

Identifying single influential publications in a research field: new analysis opportunities of the CRExplorer

Thor¹,

Bornmann

Marx

et al. 2018

Scientometrics

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“…Knowledge flows between one form of evolution to another. Patents are considered as the blueprint of technological innovation (Comins et al, 2018;É rdi et al, 2013;Kim et al, 2017;Kumar et al, 2018;Lai et al, 2006;Lee, 2013;Stuart, 1995). Patent citations, in addition, highlight the flow of information across a particular technological roadmap.…”

Section: Introductionmentioning

confidence: 99%

A structural analysis approach to identify technology innovation and evolution path: a case of m-payment technology ecosystem

Kumar

Lai

Chang

et al. 2020

JKM

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Purpose The evolution of technology has become the mainstream of the current technological innovation era. Technological change is organized in its unique pattern and a new approach that takes place in a systematic and selective manner. Such change is generally molded with the amalgamation of various factors, namely, economic, social or scientific and technological. This paper aims to focus on identifying technological trajectories in a technological ecosystem with the case of m-payment technology. Design/methodology/approach This study constructs a patent citation network for mobile payment service technology through patent citation data and identifies the main evolution process using the main path analysis of the network. The scope of this study focuses on key innovation using social network analysis and patent citation network, validated using the case of a mobile payment system and analyzing its technological trajectory. Findings Analyzing technology evolution provides a greater insight of the overall technology landscape to the researcher and practitioner. Analyzing the m-payment technology landscape gives three main categories of m-payment systems: the mobile financial transaction system), the payee mobile device payment selection system and e-wallet services. Originality/value The novelty of this research lies in the process of identifying technological evolution using social network and patent citation network analysis. The case of m-payment technology ecosystem is studied quantitatively which is not explored by previous researchers. This research provides a way to develop the main path technology of innovative products or services to identify technology evolution using the case of m-payment landscape.

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“…The method is based on counting cited references (instead of citations) to assess the impact of publications on a topic-or field-specific publication set (e.g., climate change, see Marx, Haunschild, Thor, & Bornmann, 2017). The method has already been successfully applied in identifying papers with outstanding performance (Comins & Leydesdorff, 2018;Thor, Bornmann, Marx, & Mutz, 2018) and landmark patents (Comins, Carmack, & Leydesdorff, 2017). Thor, Marx, Leydesdorff, and Bornmann (2016) introduced the CRExplorera program for undertaking RPYS.…”

Section: Introductionmentioning

confidence: 99%

“…climate change [17]). The method has already been successfully applied in identifying papers with outstanding performance [18–20] and landmark patents [21].…”

Section: Introductionmentioning

confidence: 99%

Which are the influential publications in the Web of Science subject categories over a long period of time? CRExplorer software used for big-data analyses in bibliometrics

Thor

Bornmann

Haunschild

et al. 2020

Journal of Information Science

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What are the landmark papers in scientific disciplines? On whose shoulders does research in these fields stand? Which papers are indispensable for scientific progress? These are typical questions which are not only of interest for researchers (who frequently know the answersor guess to know them), but also for the interested general public. Citation counts can be used to identify very useful papers, since they reflect the wisdom of the crowd; in this case, the scientists using the published results for their own research. In this study, we identified with recently

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Patent citation spectroscopy (PCS): Online retrieval of landmark patents based on an algorithmic approach

Cited by 8 publications

References 37 publications

Identifying single influential publications in a research field: new analysis opportunities of the CRExplorer

Identifying single influential publications in a research field: new analysis opportunities of the CRExplorer

A structural analysis approach to identify technology innovation and evolution path: a case of m-payment technology ecosystem

Which are the influential publications in the Web of Science subject categories over a long period of time? CRExplorer software used for big-data analyses in bibliometrics

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