Bibliographic dataset of literature for analysing global trends and progress of the machine learning paradigm in space weather research.

ABSTRACT: The field of space weather research has witnessed growing interest in the use of machine learning techniques. This could be attributed to the increasing accessibility of data, which has created a high demand for investigating scientific phenomena using data-driven methods. The dataset, which is based on bibliographic records from the Web of Science (WoS) and Scopus, was compiled over the last several decades and discusses multidisciplinary trends in this topic while revealing significant advances in current knowledge. It provides a comprehensive examination of trends in publication characteristics, with a focus on publications, document sources, authors, affiliations, and frequent word analysis as bibliometric indicators, all of which were analysed using the Biblioshiny application on the

SUBMITTER: K A ND 

PROVIDER: S-EPMC10641112 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature