
doi: 10.5281/zenodo.15066293 , 10.5281/zenodo.13785886 , 10.5281/zenodo.15303923 , 10.5281/zenodo.13362757 , 10.5281/zenodo.14538333 , 10.5281/zenodo.13386641 , 10.5281/zenodo.15283828 , 10.5281/zenodo.13363122 , 10.5281/zenodo.15069388 , 10.5281/zenodo.15249626 , 10.5281/zenodo.13647115 , 10.5281/zenodo.15184089 , 10.5281/zenodo.13350625 , 10.5281/zenodo.13772890 , 10.5281/zenodo.15350975 , 10.5281/zenodo.15181971 , 10.5281/zenodo.15275680 , 10.5281/zenodo.7409193 , 10.5281/zenodo.12683727 , 10.5281/zenodo.15242545 , 10.5281/zenodo.13388921 , 10.5281/zenodo.13306658 , 10.5281/zenodo.15699841 , 10.5281/zenodo.13350932 , 10.5281/zenodo.15358148 , 10.5281/zenodo.15190288 , 10.5281/zenodo.13349709 , 10.5281/zenodo.13337675 , 10.5281/zenodo.12684574 , 10.5281/zenodo.14535718 , 10.5281/zenodo.13913468 , 10.5281/zenodo.13350873 , 10.5281/zenodo.12674099 , 10.5281/zenodo.12608017 , 10.5281/zenodo.14547268 , 10.5281/zenodo.13350708 , 10.5281/zenodo.13293256 , 10.5281/zenodo.15290643 , 10.5281/zenodo.15691584 , 10.5281/zenodo.14651841 , 10.5281/zenodo.12749408 , 10.5281/zenodo.12652968 , 10.5281/zenodo.13018446
doi: 10.5281/zenodo.15066293 , 10.5281/zenodo.13785886 , 10.5281/zenodo.15303923 , 10.5281/zenodo.13362757 , 10.5281/zenodo.14538333 , 10.5281/zenodo.13386641 , 10.5281/zenodo.15283828 , 10.5281/zenodo.13363122 , 10.5281/zenodo.15069388 , 10.5281/zenodo.15249626 , 10.5281/zenodo.13647115 , 10.5281/zenodo.15184089 , 10.5281/zenodo.13350625 , 10.5281/zenodo.13772890 , 10.5281/zenodo.15350975 , 10.5281/zenodo.15181971 , 10.5281/zenodo.15275680 , 10.5281/zenodo.7409193 , 10.5281/zenodo.12683727 , 10.5281/zenodo.15242545 , 10.5281/zenodo.13388921 , 10.5281/zenodo.13306658 , 10.5281/zenodo.15699841 , 10.5281/zenodo.13350932 , 10.5281/zenodo.15358148 , 10.5281/zenodo.15190288 , 10.5281/zenodo.13349709 , 10.5281/zenodo.13337675 , 10.5281/zenodo.12684574 , 10.5281/zenodo.14535718 , 10.5281/zenodo.13913468 , 10.5281/zenodo.13350873 , 10.5281/zenodo.12674099 , 10.5281/zenodo.12608017 , 10.5281/zenodo.14547268 , 10.5281/zenodo.13350708 , 10.5281/zenodo.13293256 , 10.5281/zenodo.15290643 , 10.5281/zenodo.15691584 , 10.5281/zenodo.14651841 , 10.5281/zenodo.12749408 , 10.5281/zenodo.12652968 , 10.5281/zenodo.13018446
If you use this software, please cite it using the metadata from this file.
A tool for efficient processing of spectral images with Python.
python, spectral imaging analysis, siapy
python, spectral imaging analysis, siapy
| 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). | 0 | |
| 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 |
