scholarmetrics 0.2.0

Compute scholarly metrics in Python with Pandas and NumPy

scholarmetrics

Compute scholarly metrics in Python with Pandas and NumPy.

Documentation: https://scholarmetrics.readthedocs.io.

Examples

J.E. Hirsch’s h-index or Hirsch-index.

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

Euclidean index.

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

Contributing

Please see CONTRIBUTING.rst.

For a list of contributors see AUTHORS.rst.

License

MIT License, see LICENSE.

History

0.2.0 (2017-04-04)

• Implement gindex (#2) and euclidian (#3).

0.1.1 (2017-04-04)

• Use versioneer for versioning.

0.1.0 (2017-03-13)

• First release on PyPI.