Frontiers journals are at the top of citation and impact metrics
Frontiers in Research Metrics and Analytics (RMA) publishes rigorously peer-reviewed research on the development, applications, and evaluation of scholarly metrics, including bibliometric, scientometric, informetric, and altmetric studies. Specialty Chief Editor Chaomei Chen, at Drexel University, is supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide.
Frontiers in Research Metrics and Analytics aims to provide an open and stimulating forum for the study of the advancement, dissemination, and assessment of scholarly knowledge in science, technology, medicine, humanities and social sciences. The specialty journal publishes high-quality qualitative and quantitative studies of academic work at various levels of granularity. The scope of the specialty journal covers the development, applications, and evaluation of scholarly metrics, including but not limited to, bibliometric, scientometric, informetric, and altmetric studies. In addition, the specialty journal publishes fundamental research of academic knowledge and relevant analytic and evaluative techniques. Topics of interest:
- Case studies
- Citation analysis
- Machine learning
- Patent analysis
- Qualitative studies of scholarly knowledge
- Research assessment and evaluation
- Research policy
- Reviews and surveys of the state of the art
- Scholarly communication
- Scholarly discourse and metadiscourse
- Science and technology indicators
- Science mapping
- Science studies
- Text Mining
- Visual Analytics
Frontiers in Research Metrics and Analytics is member of the Committee on Publication Ethics.
Short Name: Front. Res. Metr. Anal.
Electronic ISSN: 2504-0537
Indexed in: Google Scholar, DOAJ, CrossRef, CLOCKSS
PMCID: coming soon for all published articles
Frontiers in Research Metrics and Analytics welcomes submissions of the following article types: Book Review, Brief Research Report, Code, Conceptual Analysis, Correction, Data Report, Editorial, Empirical Study, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Protocols, Review, Specialty Grand Challenge, Systematic Review and Technology Report.
All manuscripts must be submitted directly to Frontiers in Research Metrics and Analytics, where they are peer-reviewed by the Associate and Review Editors of the specialty journal.
Articles published in Frontiers in Research Metrics and Analytics will benefit from the Frontiers impact and tiering system after online publication. Authors of published original research with the highest impact, as judged democratically by the readers, will be invited by the Chief Editor to write a Frontiers Focused Review - a tier-climbing article. This is referred to as "democratic tiering". The author selection is based on article impact analytics of original research published in the Frontiers specialty journals and sections. Focused Reviews are centered on the original discovery, place it into a broader context, and aim to address the wider community of the field.