12 citations as recorded by crossref.

1. Ensemble homogenization of Slovenian monthly air temperature series G. Vertačnik et al. https://doi.org/10.1002/joc.4265
2. Homogenization of precipitation time series with ACMANT P. Domonkos https://doi.org/10.1007/s00704-014-1298-5
3. Homogenization and trend analysis of monthly mean and maximum wind speed time series in Finland, 1959–2015 M. Laapas & A. Venäläinen https://doi.org/10.1002/joc.5124
4. Revisiting HISTALP precipitation dataset B. Chimani et al. https://doi.org/10.1002/joc.8270
5. gsimcli: a geostatistical procedure for the homogenisation of climatic time series S. Ribeiro et al. https://doi.org/10.1002/joc.4929
6. Development and testing of homogenisation methods: moving parameter experiments with ACMANT P. Domonkos & D. Efthymiadis https://doi.org/10.5194/asr-10-43-2013
7. MOTEDAS: a new monthly temperature database for mainland Spain and the trend in temperature (1951–2010) J. Gonzalez‐Hidalgo et al. https://doi.org/10.1002/joc.4298
8. Segmentation of Geophysical Data: A Big Data Friendly Approach D. Stockwell et al. https://doi.org/10.1016/j.procs.2015.07.277
9. Efficiency of Time Series Homogenization: Method Comparison with 12 Monthly Temperature Test Datasets P. Domonkos et al. https://doi.org/10.1175/JCLI-D-20-0611.1
10. Intercomparison of measurements at climate reference stations in Germany on the influence of funnel heating of a precipitation device I. Knerr et al. https://doi.org/10.5194/asr-22-97-2025
11. Detection of inhomogeneities in precipitation time series in Portugal using direct sequential simulation S. Ribeiro et al. https://doi.org/10.1016/j.atmosres.2015.11.014
12. Review and discussion of homogenisation methods for climate data S. Ribeiro et al. https://doi.org/10.1016/j.pce.2015.08.007