Bibliometrics for Theory Development in Research Methods

Bibliometrics has evolved from descriptive citation counting into sophisticated analytical approaches for uncovering knowledge structures, intellectual trajectories, and conceptual frameworks in scholarly literature. In research methods, a field spanning quantitative, qualitative, mixed, and data science approaches, bibliometrics offers strong potential to reveal patterns of methodological evolution, cross-disciplinary adaptation, and innovation. Citation networks, co-citation analysis, co-word analysis, social network analysis (SNA), structural topic modelling, and overlay visualization can identify emerging concepts, trace theoretical traditions, detect fragmentation, and highlight opportunities for synthesis. These approaches are increasingly relevant in psychometrics, survey development, systematic reviewing, research evaluation, and methodological pedagogy.

Bibliometrics is also widely used across substantive domains such as health, tourism, sustainability, education, and management, where it can support theory development by clarifying conceptual structures, identifying competing perspectives, and revealing gaps that hinder cumulative knowledge building. As research output continues to expand, bibliometrics provides a timely and scalable means of advancing methodological rigor, innovation, and cross-disciplinary learning.

This Research Topic explores the role of bibliometrics in theory development, both in research methods and in substantive domains where literatures are fragmented, conceptually diffuse, or weakly integrated. While bibliometric studies are often used descriptively, this Topic emphasizes their broader potential to support theory building, theory refinement, conceptual clarification, and methodological innovation. By drawing on approaches such as citation analysis, co-citation analysis, co-word analysis, SNA, structural topic modelling, and knowledge mapping, the Topic aims to identify intellectual structures, trace theoretical evolution, reveal research gaps, and generate integrative frameworks across disciplines. It welcomes contributions that use bibliometric methods to advance methodological scholarship, produce transferable insights, or develop theory within a specific domain. The overall aim is to position bibliometrics not simply as a mapping tool, but as a rigorous research method for generating cumulative, transparent, and ethically grounded knowledge for research, pedagogy, and policy.

The Topic welcomes domain-specific bibliometric studies in areas such as health, tourism, sustainability, education, and management, provided their main contribution is to theory development and/or transferable methodological insight. Submissions that are primarily descriptive mapping exercises, without a clear theoretical or methodological contribution, fall outside scope. Themes may include, but are not limited to:

• Citation networks and co-citation analyses for tracing the evolution of theories, concepts, and methodological traditions
• Co-word analysis and structural topic modelling to identify latent structures in methodological or domain-specific literatures
• SNA of collaboration, co-authorship, and knowledge diffusion patterns to reveal intellectual communities, gatekeepers, and structural dynamics within and across disciplines
• Bibliometric studies contributing to theory development, refinement, or integration within substantive fields
• Comparative bibliometric analyses across disciplines to identify transferable methodological or theoretical lessons
• Development and validation of new bibliometric indicators, tools, or frameworks for assessing rigor, influence, or innovation
• Applications of bibliometrics in psychometrics, survey development, data visualization, and other areas of methodological innovation
• Pedagogical applications of bibliometric mapping for teaching theory, methods, and scholarly field development
• Systematic reviews and synthetic studies using bibliometric techniques to support robust, ethical, and cumulative knowledge production

We welcome Original Research, Methods, Policy and Practice Reviews, and Perspectives. Contributions must focus on the generic nature of bibliometrics in research methods, with rigorous validation.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Community Case Study
• Conceptual Analysis
• Data Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Community Case Study
• Conceptual Analysis
• Data Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Policy and Practice Reviews
• Review
• Study Protocol
• Systematic Review
• Technology and Code

Keywords: bibliometrics; theory development; research methods; scientometrics; structural topic modelling; citation analysis; knowledge mapping; methodological innovation; data science analytics

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.