8 citations as recorded by crossref.

1. Quality Assessment of OpenStreetMap’s Points of Interest with Large-Scale Real Data C. Klinkhardt et al. https://doi.org/10.1177/03611981231169280
2. Machine Learning-Based Travel Demand Estimation Using OpenStreetMap R. Klar & D. Gundlegård https://doi.org/10.1109/OJITS.2026.3708204
3. Changes in mode use after residential relocation: Attitudes and the built environment K. Schimohr et al. https://doi.org/10.1016/j.trd.2024.104556
4. The influence of urban structure types on the x-minuteness of cities: An accessibility analysis of 15 German cities A. Droin et al. https://doi.org/10.1177/23998083261424942
5. Exploring spatio-temporal patterns of OpenStreetMap (OSM) contributions in heterogeneous urban areas E. Elias et al. https://doi.org/10.1590/s1982-21702023000200005
6. Visualizing urban sprawl to raise local awareness M. Schaffert et al. https://doi.org/10.3389/fenvs.2025.1456772
7. Beyond 'Geo' HCI: Exploring Cultural Dimensions of Disparity in OpenStreetMap Road Safety Metadata Y. Yin & J. Thebault-Spieker https://doi.org/10.1145/3757456
8. Propelling International Marketing Research with Geospatial Data J. Wichmann et al. https://doi.org/10.1177/1069031X221149951