A sound understanding of what drives research excellence and how one may effectively communicate and evaluate research outcomes in a broad context is fundamental to all disciplines. Frontiers in Research Metrics and Analytics aims to provide an open access forum for the study of measuring, evaluating, and improving the efficiency, reliability, and transparency of research and innovation in all areas of scientific inquiry and applications.
The journal welcomes contributions that may transcend the boundary of a particular discipline or a specific field of study and bring profound theoretical and practical implications to research and innovation in a broader context. For instance, while primary lung cancer research may be outside our scope, studies of the effectiveness of research processes, research assessment, research policies, and scholarly communications in lung cancer research would be highly relevant.
The journal provides an open and extensible forum for a wide range of diverse studies of various aspects of research: theories and methodologies of research and research communities; metrics, tools, resources, and enabling technologies concerning the study and management of research and innovation; and applications, communication, policy, best practices in a broad context.
Short Name: Front. Res. Metr. Anal.
Abbreviation: frma
Electronic ISSN: 2504-0537
Indexed in: Google Scholar, DOAJ, CrossRef, Digital Biography & Library Project (dblp), CLOCKSS
PMCID: NA
Frontiers in Research Metrics and Analytics is composed of the following Specialty Sections:
The specialty sections of Frontiers in Research Metrics and Analytics welcome submission of the following article types: Brief Research Report, Conceptual Analysis, Correction, Data Report, Editorial, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Policy and Practice Reviews, Review, Specialty Grand Challenge, Systematic Review and Technology and Code.
When submitting a manuscript to Frontiers in Research Metrics and Analytics, authors must submit the material directly to one of the specialty sections. Manuscripts are peer-reviewed by the Associate and Review Editors of the respective specialty section.
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