Journal of Informetrics （JOI） - Volume 9, Issue 1 论文列表
| 点击这里查看 Journal of Informetrics 的JCR分区、影响因子等信息 |
| 卷期号： Volume 9, Issue 1 |
| 发布时间： January 2015 |
| 卷期年份： 2015 |
| 卷期官网： https://www.sciencedirect.com/journal/journal-of-informetrics/vol/9/issue/1 |
本期论文列表
Inside Front Cover: Editorial Board
Message from the retiring Editor-in-Chief
Message from the new Editor-in-Chief
Tracing database usage: Detecting main paths in database link networks
The value of experience in research
Should the research performance of scientists be distinguished by gender?
Relationship between altmetric and bibliometric indicators across academic social sites: The case of CSIC's members
Uncited papers, uncited authors and uncited topics: A case study in library and information science
Unsupervised characterization of research institutions with task-force estimation
Understanding and modeling diverse scientific careers of researchers
Features of top-rated gold open access journals: An analysis of the scopus database
Trajectories of science and technology and their co-evolution in BRICS: Insights from publication and patent analysis
Field-normalized citation impact indicators using algorithmically constructed classification systems of science
Visualization and quantitative study in bibliographic databases: A case in the field of university–industry cooperation
The relationship between the research performance of scientists and their position in co-authorship networks in three fields
A general conceptual framework for characterizing the ego in a network
Restricting the h-index to a publication and citation time window: A case study of a timed Hirsch index
The source-effort coverage of an exponential informetric process
Visualization of co-readership patterns from an online reference management system
Distributions of scientific funding across universities and research disciplines
Scientific teams: Self-assembly, fluidness, and interdependence
Visualizing information science: Author direct citation analysis in China and around the world
The effect of data pre-processing on understanding the evolution of collaboration networks