
Scholarly literature on open science over the past several decades has paralleled developments in research policy and practice, proliferated alongside mandates and directives, and increased in volume. Navigating the conceptually wide-ranging and versatile topic of open science makes analyzing its body of literature an ongoing challenge, often approached with a range of methods and perspectives. We use co-citations and direct citations to map the scholarly literature on open science and identify eleven clusters: open data, psychology-replication, tech and industry, participatory research, scholarly communication, neuroscience-reproducibility, social justice and diversity, public health-COVID-19, bio-data, publication bias/meta-research, and eating disorder-COVID-19, using Louvain community detection. This survey of the literature would prove useful for those looking to calibrate their research efforts with a dynamic and multifaceted area of inquiry, better navigate the field to understand its topical landscape, and perhaps influence or chart a course for the trajectory of scientific discourse related to open science.
| 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 |
