Journal of Informetrics （JOI） - Volume 5, Issue 1 论文列表
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| 卷期号： Volume 5, Issue 1 |
| 发布时间： January 2011 |
| 卷期年份： 2011 |
| 卷期官网： https://www.sciencedirect.com/journal/journal-of-informetrics/vol/5/issue/1 |
本期论文列表
Editorial Board
PrestigeRank: A new evaluation method for papers and journals
Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature
On the definition of forward and backward citation generations
Towards a new crown indicator: Some theoretical considerations
The measurement of low- and high-impact in citation distributions: Technical results
Structured evaluation of the scientific output of academic research groups by recent h-based indicators
Bibliometric rankings of journals based on Impact Factors: An axiomatic approach
Indicators of the interdisciplinarity of journals: Diversity, centrality, and citations
The effects and their stability of field normalization baseline on relative performance with respect to citation impact: A case study of 20 natural science departments
How and where the TeraGrid supercomputing infrastructure benefits science
High- and low-impact citation measures: Empirical applications
An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field
Gender differences in peer reviews of grant applications: A substantive-methodological synergy in support of the null hypothesis model
A proposal for a First-Citation-Speed-Index
Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks
Are researchers that collaborate more at the international level top performers? An investigation on the Italian university system
Strange attractors in the Web of Science database
What's familiar is excellent: The impact of exposure effect on perceived journal quality
Remaining problems with the “New Crown Indicator” (MNCS) of the CWTS
There are neither “king” nor “crown” in scientometrics: Comments on a supposed “alternative” method of normalization
Further steps towards an ideal method of measuring citation performance: The avoidance of citation (ratio) averages in field-normalization