Michael S. Rosenberg’s Laboratory

Computational Evolutionary Biology & Bioinformatics

E-mail: msr@asu.edu
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iteratively weighted h-index

The interatively weighted h-index (Todeschini and Baccini 2016) is a method for producing a single global index from the vector produced by the multidimensional h-index (H). This index is calculated as:

$$iw\left(h\right)=\sum\limits_{j=1}^{n}{\frac{h_j}{j}}.$$

where hj and n are the jth value and total length of H, respectively.

History

Yeariw(h)-index
19971.5000
19983.0833
19994.3333
20006.3333
20018.2833
200210.5095
200313.4500
200415.8667
200518.7095
200621.2833
200723.2000
200825.7000
200928.4500
201031.2000
201133.4000
201234.7179
201336.2512
201439.0032
201541.5885
201642.6290
201742.9218

References