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-rw-r--r--src/python/doc/wasserstein_distance_user.rst10
1 files changed, 5 insertions, 5 deletions
diff --git a/src/python/doc/wasserstein_distance_user.rst b/src/python/doc/wasserstein_distance_user.rst
index 648cc568..99445b99 100644
--- a/src/python/doc/wasserstein_distance_user.rst
+++ b/src/python/doc/wasserstein_distance_user.rst
@@ -13,15 +13,15 @@ Functions
---------
This implementation uses the Python Optimal Transport library and is based on
ideas from "Large Scale Computation of Means and Cluster for Persistence
-Diagrams via Optimal Transport".
+Diagrams via Optimal Transport" :cite:`10.5555/3327546.3327645`.
.. autofunction:: gudhi.wasserstein.wasserstein_distance
This other implementation comes from `Hera
-<https://bitbucket.org/grey_narn/hera/src/master/>`_ (BSD-3-Clause) and is
-based on `"Geometry Helps to Compare Persistence Diagrams."
-<http://dx.doi.org/10.1137/1.9781611974317.9>`_ by Michael Kerber, Dmitriy
-Morozov, and Arnur Nigmetov, at ALENEX 2016.
+<https://bitbucket.org/grey_narn/hera/src/master/>`_ (BSD-3-Clause) which is
+based on "Geometry Helps to Compare Persistence Diagrams"
+:cite:`Kerber:2017:GHC:3047249.3064175` by Michael Kerber, Dmitriy
+Morozov, and Arnur Nigmetov.
.. autofunction:: gudhi.hera.wasserstein_distance