
The OAIL_10-20 dataset is comprised of OpenAlex records which reproduce the majority of the Web of Science (WoS) records analysed in the course of writing the paper Patterns in the Growth and Thematic Evolution of Artificial Intelligence Research: A Study Using Bradford Distribution of Productivity and Path Analysis, Gupta et al. This paper aims to utilise the Bradford distribution to provide a focused analysis of the thematic evolution of research patterns and growth, and applies this analysis to a corpus of AI papers published over the 10 years between 2010 and 2020. We provide this dataset to allow for researchers to reproduce the findings using open science.
Bradford Distribution, Path Analysis, AI Research, Reproducible Bibliometrics, OpenAlex, Dataset
Bradford Distribution, Path Analysis, AI Research, Reproducible Bibliometrics, OpenAlex, Dataset
| 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 |
