
An Open Science standard for transparent, reproducible AI-assisted systematic literature review workflows. RevAIse provides a comprehensive, open standard for documenting complete systematic review workflows, enabling workflow automation, reproducibility, transparency, and interoperability across platforms and institutions.
Please check technical documentation at https://revaise-model.readthedocs.io/
transparency, LinkML, evidence-synthesis, data-model, systematic-reviews, AI-assisted-research, FAIR-data, research-methods, open-science, reproducibility
transparency, LinkML, evidence-synthesis, data-model, systematic-reviews, AI-assisted-research, FAIR-data, research-methods, open-science, reproducibility
| 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 |
