diff --git a/docs/source/conf.py b/docs/source/conf.py
index a20c3c09..4e7c2c86 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -2,7 +2,6 @@
 import sys
 import os
 import datetime
-from sphinx_gallery.sorting import ExampleTitleSortKey
 
 # Sphinx needs to be able to import the package to use autodoc and get the version number
 sys.path.insert(0, os.path.abspath("../../pylops_mpi"))
@@ -60,7 +59,7 @@
     # Remove the "Download all examples" button from the top level gallery
     "download_all_examples": False,
     # Sort gallery example by file name instead of number of lines (default)
-    "within_subsection_order": ExampleTitleSortKey,
+    "within_subsection_order": "ExampleTitleSortKey",
     # directory where function granular galleries are stored
     "backreferences_dir": "api/generated/backreferences",
     # Modules for which function level galleries are created.
diff --git a/docs/source/installation.rst b/docs/source/installation.rst
index 0b836ffd..d0aafe88 100644
--- a/docs/source/installation.rst
+++ b/docs/source/installation.rst
@@ -19,7 +19,7 @@ Additionally, to use the NCCL engine, the following additional
 dependencies are required:
 
 * `CuPy <https://cupy.dev/>`_
-* `NCCL <https://docs.cupy.dev/en/stable/install.html#additional-cuda-libraries>`_
+* `NCCL <https://docs.cupy.dev/en/stable/install.html#additional-cuda-libraries>`__
 
 We highly encourage using the `Anaconda Python distribution <https://www.anaconda.com/download>`_
 or its standalone package manager `Conda <https://docs.conda.io/en/latest/index.html>`_. However,
@@ -120,7 +120,7 @@ If you prefer a ``pip`` installation, we provide the following command
 Note that, differently from the  ``conda`` command, the above **will not** create a virtual environment.
 Make sure you create and activate your environment previously.
 
-Simlarly, if you want to enable `NCCL <https://developer.nvidia.com/nccl>`_ but prefer using pip,
+Similarly, if you want to enable `NCCL <https://developer.nvidia.com/nccl>`_ but prefer using pip,
 you must first check the CUDA version of your system:
 
 .. code-block:: bash