diff --git a/examples/plot_fpca.py b/examples/plot_fpca.py
index 7e74a56f6..9b4740cc9 100644
--- a/examples/plot_fpca.py
+++ b/examples/plot_fpca.py
@@ -122,3 +122,9 @@
 fpca = FPCA(n_components=2, components_basis=MonomialBasis(n_basis=4))
 fpca.fit(basis_fd)
 fpca.components_.plot()
+
+# %%
+# References
+# ----------
+#
+# .. footbibliography::
diff --git a/skfda/preprocessing/dim_reduction/_fpca.py b/skfda/preprocessing/dim_reduction/_fpca.py
index f5bd57caa..3200d3093 100644
--- a/skfda/preprocessing/dim_reduction/_fpca.py
+++ b/skfda/preprocessing/dim_reduction/_fpca.py
@@ -32,7 +32,8 @@ class FPCA(  # noqa: WPS230 (too many public attributes)
     when fitting a FDataBasis or FDataGrid, except for ``components_basis``.
 
     For more information about the implementation of the computation of the
-    first principal components see :footcite:ts:`silverman_2005_basisfuncexp`.
+    first principal components see 
+    :footcite:ts:`ramsay+silverman_2005_basisfuncexp`.
 
     Parameters:
         n_components: Number of principal components to keep from