CitNetExplorer: A new software tool for analyzing and visualizing citation networks

We present CitNetExplorer, a new software tool for analyzing and visualizing citation networks of scientific publications. CitNetExplorer can for instance be used to study the development of a research field, to delineate the literature on a research topic, and to support literature reviewing. We first introduce the main concepts that need to be understood when working with CitNetExplorer. We then demonstrate CitNetExplorer by using the tool to analyze the scientometric literature and the literature on community detection in networks. Finally, we discuss some technical details on the construction, visualization, and analysis of citation networks in CitNetExplorer

Metrics to evaluate research performance in academic institutions: A critique of ERA 2010 as applied in forestry and the indirect H2 index as a possible alternative

Excellence for Research in Australia (ERA) is an attempt by the Australian Research Council to rate Australian universities on a 5-point scale within 180 Fields of Research using metrics and peer evaluation by an evaluation committee. Some of the bibliometric data contributing to this ranking suffer statistical issues associated with skewed distributions. Other data are standardised year-by-year, placing undue emphasis on the most recent publications which may not yet have reliable citation patterns. The bibliometric data offered to the evaluation committees is extensive, but lacks effective syntheses such as the h-index and its variants. The indirect H2 index is objective, can be computed automatically and efficiently, is resistant to manipulation, and a good indicator of impact to assist the ERA evaluation committees and to similar evaluations internationally.Comment: 19 pages, 6 figures, 7 tables, appendice

Through a glass, less darkly? Reassessing convergent and divergent validity in measures of implicit self-esteem

Self-esteem has been traditionally assessed via self-report (explicit self-esteem: ESE). However, the limitations of self-report have prompted efforts to assess self-esteem indirectly (implicit self-esteem: ISE). It has been theorized that ISE and ESE reflect the operation of largely distinct mental systems. However, although low correlations between measures of ISE and ESE empirically support their discriminant validity, similarly low correlations between different measures of ISE do not support their convergent validity. We explored whether such patterns would reemerge if more recently developed, specific, and reliable ISE measures were used. They did, although some convergent validity among ISE measures emerged once confounds resulting from conceptual mismatch, individual differences, and random variability were minimized. Nonetheless, low correlations among ISE measures are not primarily caused by the usual psychometric suspects, and may be the result of other factors including subtle differences between structural features of such measures