Applied multivariate statistics for the social sciences
Applied multivariate statistics for the social sciences
Applied multivariate analysis
Journal of the American Society for Information Science and Technology
What do we know about the h index?
Journal of the American Society for Information Science and Technology
An h-index weighted by citation impact
Information Processing and Management: an International Journal
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
The age-dependent h-type AR2-index: Basic properties and a case study
Journal of the American Society for Information Science and Technology
The π-index: a new indicator for assessing scientific impact
Journal of Information Science
Revisiting the g-index: The average number of citations in the g-core
Journal of the American Society for Information Science and Technology
Hirsch index rankings require scaling and higher moment
Journal of the American Society for Information Science and Technology
Journal of Information Science
Relationship of the h-index, g-index, and e-index
Journal of the American Society for Information Science and Technology
The w-index: A measure to assess scientific impact by focusing on widely cited papers
Journal of the American Society for Information Science and Technology
An Internet measure of the value of citations
Information Sciences: an International Journal
An approach to identify influential building blocks and linkages in an information resource network
Decision Support Systems
Using the h-index to measure the quality of journals in the field of business and management
Information Processing and Management: an International Journal
An integrated approach for main path analysis: Development of the Hirsch index as an example
Journal of the American Society for Information Science and Technology
The Hirsch index and related impact measures
Annual Review of Information Science and Technology
Aggregating productivity indices for ranking researchers across multiple areas
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
Comprehensive geometrical interpretation of h-type indices
Scientometrics
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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In this study, we examined empirical results on the h index and its most important variants in order to determine whether the variants developed are associated with an incremental contribution for evaluation purposes. The results of a factor analysis using bibliographic data on postdoctoral researchers in biomedicine indicate that regarding the h index and its variants, we are dealing with two types of indices that load on one factor each. One type describes the most productive core of a scientist's output and gives the number of papers in that core. The other type of indices describes the impact of the papers in the core. Because an index for evaluative purposes is a useful yardstick for comparison among scientists if the index corresponds strongly with peer assessments, we calculated a logistic regression analysis with the two factors resulting from the factor analysis as independent variables and peer assessment of the postdoctoral researchers as the dependent variable. The results of the regression analysis show that peer assessments can be predicted better using the factor ‘impact of the productive core’ than using the factor ‘quantity of the productive core.’ © 2008 Wiley Periodicals, Inc.