# Michael S. Rosenberg’s Laboratory

Computational Evolutionary Biology & Bioinformatics

E-mail: msr@asu.edu
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## h2-upper index

The h-index describes an h×h square under the citation curve containing h2 citations. Bornmann et al. (2010) suggest dividing the citation curve into three sections based on this square and describing each section as the percent of all citations found within the section.

The h2-upper index is the percent of excess citations found within the h-core citations, i.e., the citations found above the h-square. It is calculated as:$$h_\text{upper}^2=\frac{C^H - h^2}{C^P}\times 100=\frac{\sum\limits_{i=1}^{h}{C_i} - h^2}{C^P}\times 100=\frac{e^2}{C^P}\times 100.$$

### History

Year$$h_\text{upper}^2$$
19970.0000
199838.4615
199961.1111
200049.2537
200163.9098
200265.4167
200363.2153
200465.9829
200568.5207
200669.8980
200770.7753
200872.1693
200971.2435
201072.4794
201172.0858
201272.6894
201372.9362
201472.8002
201572.7199
201673.8265
201774.8403

## References

• Bornmann, L., R. Mutz, and H.-D. Daniel (2010) The h index research output measurement: Two approaches to enhance its accuracy. Journal of Informetrics 4:407–414.