Multi-dimensional bibliometric framework for analyzing research adaptation during crisis: evidence from Ukrainian educational psychology
Year: 2026
Type: article
Abstract: This study presents a multi-dimensional bibliometric framework for analyzing research adaptation during crisis, demonstrated through a deep analysis of Ukrainian educational psychology research from 2017 to 2024. Integrating VOSviewer term co-occurrence analysis with Latent Dirichlet Allocation (LDA) topic modeling, we develop a novel approach that captures both structural and semantic dimensions of research evolution. Analysis of 487 publications reveals 14 coherent topics (coherence score = 0.364) organized into 10 thematic clusters, with pronounced shifts following the 2022 crisis. Our framework demonstrates unprecedented research adaptation speed, with crisis-related topics emerging within 6-8 months compared to typical 12-18 month academic response cycles. Topic modeling reveals semantic evolution in key terms, with "adaptation" shifting from educational to psychological crisis contexts. The convergence of findings across analytical methods (78.6\% alignment between LDA topics and VOSviewer clusters) validates the framework's robustness. This methodological innovation offers a replicable approach for analyzing research dynamics in crisis-affected contexts globally, contributing both theoretical insights and practical tools for understanding academic adaptation to societal disruptions.
Authors: Serhiy O. Semerikov, Iryna S. Mintii
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,180
OpenAlex ID: W7140196098