
The Private-Sector AI Indicators dataset includes a diverse range of indicators of AI-related activity for hundreds of companies worldwide, from startups to multinationals. The dataset uses original metadata, models, and methods developed by ETO and CSET to transform information from a wide variety of data sources into AI-related research, patenting, and hiring metrics for every company covered in PARAT. For more information, see our documentation. Research subject classifications are based on work supported in part by the Alfred P. Sloan Foundation under Grant No. G-2023-22358.
| 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 |
