scholarmetrics package¶

Submodules¶

Collection of common metrics for academic scholars.

scholarmetrics.scholarmetrics.euclidean(arr)[source]¶

Calculate Euclidean index for an author.

An Euclidean index of a vector is the square root of the sum of the squared elements.

Parameters:	arr (array-like) – Array of citations.
Returns:	eui – Euclidean index of the author for the given citations.
Return type:	int

Examples

>>> from scholarmetrics import euclidean
>>> citations = [6, 10, 5, 46, 0, 2]
>>> euclidean(citations)
47.75981574503821

Notes

The Euclidean index was originally proposed by Motty Perry and Philip J. Reny [eu].

References

[eu]	Perry, M. and P. J. Reny (2016): “How to Count Citations If You Must”, The American Economic Review, 106(9), pp. 2722-2241. DOI: 10.1257/aer.20140850

scholarmetrics.scholarmetrics.gindex(arr)[source]¶

Calculate g-index for an author.

An g-index of x means that the author’s top x publications together accumulated at least \(x^2\) citations.

Parameters:	arr (array-like) – Array of citations.
Returns:	gi – g-index of the author for the given citations.
Return type:	int

Examples

>>> from scholarmetrics import gindex
>>> citations = [6, 10, 5, 46, 0, 2]
>>> gindex(citations)
6

Notes

The g-index was originally proposed by Leo Egghe [g]. It excludes uncited publications.

References

[g]	Egghe, L. (2006): “Theory and practise of the g-index”, Scientometrics, 69(1), pp. 131–152. DOI: 10.1007/s11192-006-0144-7

scholarmetrics.scholarmetrics.hindex(arr)[source]¶

Calculate h-index for an author.

An h-index of x means that the author has at least x publications that have been cited at least x times.

Parameters:	arr (array-like) – Array of citations.
Returns:	hi – H-index of the author for the given citations.
Return type:	int

Examples

>>> from scholarmetrics import hindex
>>> citations = [6, 10, 5, 46, 0, 2]
>>> hindex(citations)
4

Notes

The h-index was originally proposed by Jorge E. Hirsch [h].

References

[h]	Hirsch, J. E. (2005): “An index to quantify an individual’s scientific research output”, National Academy of Sciences of the USA 102(46). DOI:1 0.1073/pnas.0507655102