Cronin, B.; Meho, L.I.: Using the h-index to rank influential information scientists (2006)
0.01
0.01256494 = product of:
0.03769482 = sum of:
0.03769482 = product of:
0.07538964 = sum of:
0.07538964 = weight(_text_:2005 in 196) [ClassicSimilarity], result of:
0.07538964 = score(doc=196,freq=2.0), product of:
0.19702037 = queryWeight, product of:
4.329179 = idf(docFreq=1583, maxDocs=44218)
0.04550987 = queryNorm
0.38264894 = fieldWeight in 196, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.329179 = idf(docFreq=1583, maxDocs=44218)
0.0625 = fieldNorm(doc=196)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Abstract
- The authors apply a new bibliometric measure, the h-index (Hirsch, 2005), to the literature of information science. Faculty rankings based on raw citation counts are compared with those based on h-counts. There is a strong positive correlation between the two sets of rankings. It is shown how the h-index can be used to express the broad impact of a scholar's research output over time in more nuanced fashion than straight citation counts.
