System dynamics refers to the study of how components within complex systems interact and change over time, encompassing both the mathematical modeling of temporal behavior and the empirical characterization of evolving processes. Research published in this journal addresses system dynamics across diverse domains, f…
System dynamics refers to the study of how components within complex systems interact and change over time, encompassing both the mathematical modeling of temporal behavior and the empirical characterization of evolving processes. Research published in this journal addresses system dynamics across diverse domains, from fundamental physics to public health. Investigations have explored quantum recurrence phenomena in physical vacuum cells and their polarization dynamics, examined whether acoustic components accompany electric current flow, and considered methodological questions about the role of data-driven hypothesis generation in scientific inquiry. Applied work has characterized the temporal progression of COVID-19 using empirical data to understand epidemic dynamics. This topic matters because understanding how systems evolve—whether physical, biological, or epidemiological—is essential for predicting behavior, identifying underlying mechanisms, and informing interventions. The mathematical and computational tools of system dynamics enable researchers to move beyond static snapshots toward comprehensive models of change, while empirical approaches ground theoretical frameworks in observable phenomena. By spanning quantum-scale physics to population-level disease spread, system dynamics research demonstrates the universal importance of temporal analysis across scientific disciplines.
4 peer-reviewed articles, ranked by relevance. Each links to its DOI.
The 4 articles above have been cited 4 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
A sample of recent works citing this journal's research on System Dynamics, linking to each citing work.