Cronin, B.; Meho, L.I.: Using the h-index to rank influential information scientists (2006)
0.01
0.010058938 = product of:
0.030176813 = sum of:
0.030176813 = weight(_text_:on in 196) [ClassicSimilarity], result of:
0.030176813 = score(doc=196,freq=4.0), product of:
0.109763056 = queryWeight, product of:
2.199415 = idf(docFreq=13325, maxDocs=44218)
0.04990557 = queryNorm
0.27492687 = fieldWeight in 196, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
2.199415 = idf(docFreq=13325, maxDocs=44218)
0.0625 = fieldNorm(doc=196)
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.