
This paper describes the characteristics of contributions made by researchers worldwide in the field of ELF (extremely low frequency) waves from 1957 to 2019. The data were collected through the Scopus database and processed with analytical and bibliometric techniques. The selection of the keywords is an essential step, because ELF has a very different meaning in some areas of medicine, where it is associated with a gene. A total of 12,436 documents were worked on in 12 thematic communities according to their collaborative relationships between authors and documents. Studies included authors publishing in the different thematic areas and the country where the USA stands first with more researchers in this theme than China and Japan. Documents were analyzed from the temporal perspective, their overall contribution, means of publication, and the language of the publication. Research requires extra effort and multidisciplinary collaboration to improve the knowledge, the application, and influence of these fields.
Technology, exposure assessment, QH301-705.5, T, Physics, QC1-999, occupational exposure, Engineering (General). Civil engineering (General), Chemistry, electromagnetic field, extremely low frequency; Scopus; electromagnetic field; cancer; occupational exposure; exposure assessment; lightning ELF phenomena, extremely low frequency, Scopus, cancer, TA1-2040, Biology (General), QD1-999
Technology, exposure assessment, QH301-705.5, T, Physics, QC1-999, occupational exposure, Engineering (General). Civil engineering (General), Chemistry, electromagnetic field, extremely low frequency; Scopus; electromagnetic field; cancer; occupational exposure; exposure assessment; lightning ELF phenomena, extremely low frequency, Scopus, cancer, TA1-2040, Biology (General), QD1-999
| 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). | 11 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
