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MapReader in GeoHumanities workshop (SIGSPATIAL 2022): Gold standards and outputs Refer to: https://github.com/Living-with-machines/MapReader/wiki/GeoHumanities-workshop-in-SIGSPATIAL-2022
Digital libraries and archives, Computer vision, Deep learning, Classification, Supervised learning, Historical maps
Digital libraries and archives, Computer vision, Deep learning, Classification, Supervised learning, Historical maps
| 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). | 3 | |
| 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. | Top 10% | |
| 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 |
| views | 66 | |
| downloads | 47 |

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