Title | ||
---|---|---|
Relative Superiority Coefficient of papers: A new dimension for institutional research performance in different fields |
Abstract | ||
---|---|---|
Cross-field comparison of citation measures of scientific achievement or research quality is severely hindered by the diversity
of the stage of development and citation habits of different disciplines or fields. Based on the same principles of RCR (Relative
Citation Rate) and RW (Relative Subfield Citedness), a new dimension — the Relative Superiority Coefficient (SC
n
) in research quality was introduced. This can indicate clearly the relative research level for research groups at multiple
levels in the respective field by consistent criteria in terms of research quality. Comparison of the SC
n
within or across 22 broad fields among 5 countries were presented as an application model. Hierarchical Cluster and One-Way
ANOVA were applied and processed by the statistical program SPSS. All original data were from Essential Science Indicators
(ESI) 1996–2006. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1007/s11192-006-1733-1 | Scientometrics |
Keywords | Field | DocType |
Research Quality,Scientific Achievement,Journal Impact Factor,Citation Data,Research Level | Hierarchical clustering,Interdisciplinarity,Data mining,Computer science,Citation,Operations research,Essential science indicators,Institutional research,Statistics,Scientific method | Journal |
Volume | Issue | ISSN |
72 | 3 | 0138-9130 |
Citations | PageRank | References |
1 | 0.41 | 11 |
Authors | ||
1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiaojun Hu | 1 | 119 | 11.37 |