5 research outputs found
Probing Multivariate Indicators for Academic Evaluation
We combine the Integrated Impact Indicator (I3) and the h-index into the
I3-type framework and introduce the publication vector X = (X1, X2, X3) and the
citation vector Y = (Y1, Y2, Y3) , the publication score I3X=X1+X2+X3 and the
citation score I3Y=Y1+Y2+Y3, and alternative indicators based on percentile
classes generated by the h-index. These multivariate indicators can be used for
academic evaluation. The empirical studies show that the h-core distribution is
suitable to evaluate scholars, the X1 and Y1 are applied to measure core impact
power of universities, and I3X and I3Y are alternatives of journal impact
factor (JIF). The multivariate indicators provide a multidimensional view of
academic evaluation with using the advantages of both the h-index and I3.Comment: Journal of Library Science in China (in press). This is the English
version of a Chinese article. DOI:10.13530/j.cnki.jlis.17001
Patent Citation Analysis and Its Value in Research Evaluation: A Review and A New Approach to Map Technology-Relevant Research
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 major element
in the assessment of the economic value of patents. We also review the research
on the role of universities and researchers in technological development, with
important issues such as universities as sources of technological knowledge and
inventor-author relations. We conclude the review part of this paper with an
overview of recent research on mapping and network analysis of the science and
technology interface and of technological progress in interaction with science.
In the second part we apply new techniques for the direct visualization of the cited
and citing relations of SNPRs, the mapping of the landscape around SNPRs by bibliographic
coupling and co-citation analysis, and the mapping of the conceptual
environment of SNPRs by keyword co-occurrence analysis.
Findings:
We discuss
several properties of SNPRs. Only a small minority of publications covered by the Web of Science or
Scopus are cited by patents, about 3%–4%. However, for publications based on
university-industry collaboration the number of SNPRs is considerably higher,
around 15%. The proposed mapping methodology based on a “second order SNPR approach”
enables a better assessment of the technological relevance of research.
Research
limitations: The main
limitation is that a more advanced merging of patent and publication data, in
particular unification of author and inventor names, in still a necessity.
Practical
implications: The proposed
mapping methodology enables the creation of a database of technology-relevant
papers (TRPs). In a bibliometric assessment the publications of research
groups, research programs or institutes can be matched with the TRPs and thus
the extent to which the work of groups, programs or institutes are relevant for
technological development can be measured.
Originality/value:
The review part
examines a wide range of findings in the research of patent citation analysis. The
mapping approach to identify a broad range of technology relevant papers is
novel and offers new opportunities in research evaluation practices.
Merit, Expertise and Measuremen