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