About this Research Topic
Models in research analytics provide an interdisciplinary forum focused on modelling quantitative aspects of scholarly and scientific communication. This Article Collection aims to bridge the still existing gap between theoretical research in informetrics, scientometrics and webometrics/altmetrics, on one hand, and the application of theory and metrics in an evaluative context, on the other hand.
Traditional informetric and scientometric methods in the analytics of scientific communication have been challenged by the dramatic changes in communication, access to and dissemination of information that has been taken place during the last decades, associated with electronic communication, the emergence of the open science movement and increasing need for the assessment of a wider impact beyond the academic one. Thus, traditional models, to the extent they exist, need a proper revision and new inputs to meet the new challenges and also new appropriate models need to be developed.
The editors of this Article Collection welcome contribution that address these above issues and that are able to prove the applicability of the proposed models and approaches to benefit researchers with scientific information as well as users in science policy and research management in various aspects of the assessment of research. A non-exhaustive list of relevant topics includes the following:
• Models of communication processes
• Models of knowledge diffusion and integration
• Models for ageing of scientific information
• Dynamic and structural studies of science and technology
• Network models and analysis
• Community detection
• Characteristics of interdisciplinary and emerging topics
• Models for webometrics and altmetrics
• Measurement of research impacts
• Visualization of structures and processes
Keywords: scholarly performance, scholarly communication models, knowledge diffusion, knowledge integration, science mapping, translational scientometrics, theoretically informed research assessment, network analysis, artificial intelligence for scientometrics
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.