Research on measuring interdisciplinary research using a multi-component indicator panel (Rao-Stirling diversity, network coherence, cross-field effect).
Main Review Paper
main
Measuring Interdisciplinarity: A Multi-Component Indicator Panel for Research Evaluation
A. Rivero and A.I. Scaffold | 2026
Comprehensive review manuscript on interdisciplinarity measurement indicators and methodologies. Presents a multi-component panel approach combining diversity, coherence, and cross-field metrics for institutional and national evaluation contexts.
Satellite Papers (Companion Letters)
sat1-institutional
Measuring Interdisciplinarity with Internal University Data: An Operational Guide
A. Rivero and A.I. Scaffold | 2026
Universities possess rich internal data that external bibliometric services cannot access. We present an operational measurement protocol that leverages institutional data to assess interdisciplinary research at the departmental and institutional level.
sat2-national-evaluation
Panel-Based Evaluation of Interdisciplinary Researchers: A Protocol for National Agencies
A. Rivero and A.I. Scaffold | 2026
Protocol for national agencies assessing researchers classified as "Interdisciplinary" using a three-component indicator panel to inform profile classification and committee composition.
Repository Information
All papers are available in both English and Spanish, in HTML and PDF formats. The source repository contains additional technical notes, derivations, and research cycle documentation.
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