System Dynamics Review

About

The 726 papers published in System Dynamics Review in the last decades have received a total of 24.4k indexed citations. Papers published in System Dynamics Review usually cover Management Science and Operations Research (514 papers), Artificial Intelligence (164 papers) and Economics and Econometrics (96 papers) specifically the topics of Complex Systems and Decision Making (465 papers), Cognitive Science and Mapping (154 papers) and Innovation Diffusion and Forecasting (87 papers). The most active scholars publishing in System Dynamics Review are John D. Sterman, George P. Richardson, Jay W. Forrester, Yaman Barlas, J.A.M. Vennix, David N. Ford, David F. Andersen, Barry J. Richmond, Jack Homer and Eric Wolstenholme.

In The Last Decade

System Dynamics Review

667 papers receiving 22.2k citations

Fields of papers published in System Dynamics Review

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in System Dynamics Review. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in System Dynamics Review.

Countries where authors publish in System Dynamics Review

Since Specialization
Citations

This map shows the geographic impact of research published in System Dynamics Review. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in System Dynamics Review with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites System Dynamics Review more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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