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There are a wide variety of scientific contribution rating indices includingthe impact factor and h-index. These are used for quantitative analyses onresearch papers published in the past, and therefore unable to incorporate inthe assessment the growth, or deterioration, of the research area: whether theresearch area of a particular paper is in decline or conversely in a growingtrend. Other hand, the use of the conventional rating indices may result inhigher rates for papers that are hardly referenced nowadays in other papersalthough frequently cited in the past. This study proposes a new type ofscientific contribution ranking index, "Growing Degree of Research Area andVariance Values Index (GV-Index)". The GV-Index is computed by a principalcomponent analysis based on an estimated value obtained by PageRank Algorithm,which takes into account the growing degree of the research area and itsvariance. We also propose visualization system of a scientist's network usingthe GV-Index.

international journal of data mining and knowledge management process

GV-Index:Scientific Contribution Rating Index That Takes into Account  the Growth Degree of Research Area and Variance Values of the Publication  Year of Cited Paper