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This work is supported by the German Federal Ministry for Economic Affairs and Climate Action within the project “KI Delta Learning”, grant no. 19A19013Q. We acknowledge support through the junior research group project “UnrEAL” by the German Federal Ministry of Research, Technology and Space (BMFTR), grant no. 01IS22069. The research of us leading to these results is funded by the German Federal Ministry for Economic Affairs and Energy within the project “NXT GEN AI METHODS – Generative Methoden für Perzeption, Prädiktion und Planung” grant no. 19A23014Q. We thank all consortia for the successful cooperation. Due to Zenodo's upload limit of 50GB, the creators have compressed the images compared to those used in the paper, resulting in a slight visual loss of image quality. If you would like to access the original dataset with the full image quality, please reach out to the contact person. We can then work together to find a suitable solution for providing the original dataset.
citations 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 |