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If Iris played an important part in your research then please add us to your reference list by using the references below.
A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data
netcdf, space-weather, earth-science, Microbiology, LifeSciences, Imaging, cf-metadata, grib, visualisation, PhysicalSciences, Genotype and phenotype, meteorology, oceanography, ugrid, data-analysis
netcdf, space-weather, earth-science, Microbiology, LifeSciences, Imaging, cf-metadata, grib, visualisation, PhysicalSciences, Genotype and phenotype, meteorology, oceanography, ugrid, data-analysis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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