System Dynamics Review

Papers
(The TQCC of System Dynamics Review is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Behavioral dynamics of COVID‐19: estimating underreporting, multiple waves, and adherence fatigue across 92 nations97
Moving online: reflections from conducting system dynamics workshops in virtual settings23
Rigorously interpreted quotation analysis for evaluating causal loop diagrams in late‐stage conceptualization22
Managing the trade‐off between groundwater resources and large‐scale agriculture: the case of pistachio production in Iran15
Introducing M‐Tool: A standardised and inclusive mental model mapping tool12
ABayesianapproach to calibrate system dynamics models usingHamiltonian Monte Carlo11
Behavioral responses to risk promote vaccinating high‐contact individuals first10
Strengthening a weak link: transparency of causal loop diagrams — current state and recommendations9
Holistic versus analytic thinking orientation and its relationship to the bullwhip effect7
Mental models, cognitive maps, and the challenge of quantitative analysis of their network representations7
Quantifying the COVID‐19 endgame: Is a new normal within reach?7
Documenting the modeling process with a standardized data structure described and implemented in DynamicVu7
Planning, implementing, and evaluating an online group‐model‐building workshop during the COVID‐19 pandemic: celebrating successes and learning from shortcomings6
Constructing causal loop diagrams from large interview data sets6
Boundary objects in translation: the role of language in participatory system dynamics modeling6
Science‐based analysis for climate action: how HSBC Bank uses the En‐ROADS climate policy simulation6
Analytical thinking, Little's Law understanding, and stock‐flow performance: two empirical studies5
The impact of information visibility on ordering dynamics in a supply chain: a behavioral perspective5
Never the strongest: reconciling the four schools of thought in system dynamics in the debate on quality5
Fons et origo: reflections on the 60th anniversary ofIndustrial Dynamics5
Evaluating the impact of upstream and downstream interventions on chronic kidney disease and dialysis care: a simulation analysis4
Generative agent‐based modeling: an introduction and tutorial4
What Jay didn't tell us: hidden gems in the system dynamics practices of Jay W. Forrester14
Capturing the science behind the craft: a reporting framework to improve quality and confidence in nonsimulated models4
Feedback dynamics of the low‐income rental housing market: exploring policy responses to COVID‐194
Measure more or report faster? Effect of information perception on management of commons4
Back to basics: fundamental principles of system dynamics and queueing theory3
What is (quantitative) system dynamics modeling? Defining characteristics and the opportunities they create3
As simple as possible but not simpler: structural sensitivity testing of a dynamic model of adolescent overweight and obesity3
Feedback Economics: Economic Modeling with System Dynamics (2021)3
Improving Loops that Matter3
The four main elements of dynamic complexity2
Using analytical equations to represent nonlinear relationships2
Dynamic supply chains with endogenous dispositions2
Dealing with soft variables and data scarcity: lessons learnt from quantification in a participatory system dynamics modelling process2
Techniques to enhance the public policy impact of qualitative system dynamics models2
Generative AI and simulation modeling: how should you (not) use large language models like ChatGPT2
The concept of energy in the analysis of system dynamics models2
Challenges for sustainability: misperceptions and misleading advice2
Metacognition in action as a possible explanation for stock‐flow failure2
Evaluating and mitigating locally and nationally variable food security dynamics in Guatemala through participatory causal loop diagram building2
Sociotechnical interdependencies and tipping‐point dynamics in data‐intensive services2
Sublime reason: when Isaac Asimov met Jay Forrester2
Building confidence in exploratory models2
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