
This study explores the knowledge bridging communication function of non-mainstream journals, originally proposed by Chavarro et al. (2017). Based on their definition, and incorporating a multidimensional conception of locality (Di Césare & Robinson-Garcia, 2024), we identify journals that perform this function within a large 2023 OpenAlex dataset. Our findings reveal a predominance of such journals in Asian and South American countries. Large scientific producers like Brazil and Russia stand out as significant contributors to knowledge bridging journals. The Social Sciences domain leads article production, followed closely by the Physical Sciences. The study highlights the value of non-mainstream journals as knowledge bridging sources beyond traditional metrics and underscores the need for greater recognition of their role in scholarly communication.
Victoria Di Césare (Ref: PRE2021-097022) and Nicolas Robinson-Garcia (Ref: RYC2019-027886-I) are supported by the Spanish Ministry of Science within COMPARE project (Ref: PID2020-117007RA-I00) at UGR.
| 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 |
