Update README.md

Author: gboeing

README.md

@@ -2,20 +2,24 @@
 
 [![GitHub tag](https://img.shields.io/github/v/tag/gboeing/osmnx-examples?label=Uses+OSMnx)](https://github.com/gboeing/osmnx)
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/gboeing/osmnx-examples/)
-[![Build Status](https://github.com/gboeing/osmnx-examples/actions/workflows/tests.yml/badge.svg?branch=main)](https://github.com/gboeing/osmnx-examples/actions/workflows/tests.yml)
+[![Build Status](https://github.com/gboeing/osmnx-examples/actions/workflows/ci.yml/badge.svg?branch=main)](https://github.com/gboeing/osmnx-examples/actions/workflows/ci.yml)
 
 ## Overview
 
 [OSMnx](https://github.com/gboeing/osmnx) is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap. You can download and model walking, driving, or biking networks with a single line of code then analyze and visualize them. You can just as easily work with urban amenities/points of interest, building footprints, transit stops, elevation data, street orientations, speed/travel time, and routing.
 
-OSMnx 2.0 is released: read the [migration guide](https://github.com/gboeing/osmnx/issues/1123).
-
 ## Usage
 
 This gallery contains step-by-step usage tutorials and feature demonstrations as Jupyter notebooks. You can run these notebooks interactively online with [Colab](https://colab.research.google.com/github/gboeing/osmnx-examples/) or locally with the official OSMnx [Docker image](https://hub.docker.com/r/gboeing/osmnx). All of the examples are in this repo's [notebooks](notebooks) folder. Note that this repo's main branch generally tracks the functionality of the OSMnx repo's main branch. For examples corresponding to previously released versions of OSMnx, use this repo's tags to browse by release.
 
+## Citation
+
+If you use OSMnx in your work, please cite the paper:
+
+Boeing, G. (2025). [Modeling and Analyzing Urban Networks and Amenities with OSMnx](https://doi.org/10.1111/gean.70009). *Geographical Analysis* 57 (4), 567-577. doi:10.1111/gean.70009
+
 ## More info
 
 - [Documentation](https://osmnx.readthedocs.io/)
-- [Journal article and citation info](https://doi.org/10.1111/gean.70009)
+- [Journal article](https://doi.org/10.1111/gean.70009)
 - [Code repository](https://github.com/gboeing/osmnx)