New Indicators of the Technological Impact of Scientific Production

Purpose Building upon pioneering work by Francis Narin and others, a new methodological approach to assessing the technological impact of scientific research is presented. Design/methodology/approach It is based on the analysis of citations made in patent families included in the PATSTAT database that is to scientific papers indexed in Scopus. Findings An advanced citation matching procedure is applied to the data in order to construct two indicators of technological impact: on the citing (patent) side, the country/region in which protection is sought and a patent family's propensity to cite scientific papers are taken into account, and on the cited (paper) side, a relative citation rate is defined for patent citations to papers that is similar to the scientific paper-to-paper citation rate in classical bibliometrics. Research limitations The results are limited by the available data, in our case Scopus and PATSTAT, and especially by the lack of standardization of references in patents. This required a matching procedure that is neither trivial nor exact. Practical implications Results at the country/region, document type, and publication age levels are presented. The country/region-level results in particular reveal features that have remained hidden in analyses of straight counts. Especially notable is that the rankings of some Asian countries/regions move upwards when the proposed normalized indicator of technological impact is applied as against the case with straight counts of patent citations to those countries/regions’ published papers. Originality/value In our opinion, the level of sophistication of the indicators proposed in the current paper is unparalleled in the scientific literature, and provides a solid basis for the assessment of the technological impact of scientific research in countries/regions and institutions.

Quantitative assessment of academic value and demand of journals and determination of core journals for a discipline

Purpose The purpose of this paper is to propose an approach of quantitative assessment of academic value and demand of journals for a discipline. Design/methodology/approach This study defines relative citation rate (RCR) and utilization rate (UR) of journals cited by a discipline with a case of inorganic chemistry discipline in Jilin University, ranks the journals in decreasing order of RCR and UR, and analyzes the RCR and UR curves with mathematical statistics and physics. Findings The RCR and UR curves can be expressed as: RCR(n)=N1exp(−n/t(N1))+N2exp(−n/t(N2))=64.54exp(−n/1.98)+31.14exp(−n/23.11) and UR(n)=Y1exp(−n/t(Y1))+Y2exp(−n/t(Y2))=85.06exp(−n/108.6)+12.94exp(−n/705.8). The parameters t(N1), t(N2), t(Y1) and t(Y2) can be used to assess quantitatively academica value and demand of journal for a discipline and to determine core journals of the discipline. Research limitations/implications This approach is used to quantitatively assess academic value and demand of journals for a discipline. Practical implications This approach may provide useful information for journal management of library. Originality/value The present work is original.

Creating a New Combined Influence Measure: An Analysis of the Citation Network

This paper utilizes social network analysis to create a comprehensive evolution system to determine the significance of research papers. Citation network was analyzed from H-index, Impact factor and relative citation rate, which indicates the influence of the author, published journal and the paper on the field respectively. Influence citation network was built visually though transforming the 16 science network paper’s citation multi-value matrix into two-value matrix in UCINET and by analyzing those influence measures, the scores of each paper were calculated and results maps through visualization. The results concern: the paper of Collective dynamics of `small-world' networks laid a foundation on network science. Besides, a general methodology is provided to determine the role or influence measure of academic journals.