PLoS ONE · 2009 · 450 citations · 17 references
ManagementComputer ScienceData AnalyticsInformation RetrievalMeta-analysisBibliometric AnalysisCitation NetworksCitation PracticesAcademic Performance BenchmarkingBibliometric CouplingCitation BehaviorInformation Loss AnalysisInformation Redundancy
BACKGROUND: The h-index has already been used by major citation databases to evaluate the academic performance of individual scientists. Although effective and simple, the h-index suffers from some drawbacks that limit its use in accurately and fairly comparing the scientific output of different researchers. These drawbacks include information loss and low resolution: the former refers to the fact that in addition to h(2) citations for papers in the h-core, excess citations are completely ignored, whereas the latter means that it is common for a group of researchers to have an identical h-index. METHODOLOGY/PRINCIPAL FINDINGS: To solve these problems, I here propose the e-index, where e(2) represents the ignored excess citations, in addition to the h(2) citations for h-core papers. Citation information can be completely depicted by using the h-index together with the e-index, which are independent of each other. Some other h-type indices, such as a and R, are h-dependent, have information redundancy with h, and therefore, when used together with h, mask the real differences in excess citations of different researchers. CONCLUSIONS/SIGNIFICANCE: Although simple, the e-index is a necessary h-index complement, especially for evaluating highly cited scientists or for precisely comparing the scientific output of a group of scientists having an identical h-index.
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The R- and AR-indices: Complementing the h-index
Bihui Jin, Liming Liang, Ronald Rousseau et al. · Chinese Science Bulletin · 2007 · 555 citations · Full text
Lutz Bornmann, Rüdiger Mutz, Hans‐Dieter Daniel · Journal of the American Society for Information Science and Technology · 2008 · 451 citations · Full text