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| Journal of Systems Science and Complexity | |
|---|---|
| Title | Journal of Systems Science and Complexity |
| Discipline | Systems science; complex systems |
| Abbreviation | JSSC |
| Publisher | Springer Science+Business Media |
| Country | China |
| Frequency | Bimonthly |
| History | 1988–present |
| Issn | 1009-0560 |
Journal of Systems Science and Complexity is a peer-reviewed academic journal publishing research on systems science and complex systems. It presents theoretical, computational, and applied work connecting nonlinear dynamics, network theory, and interdisciplinary modeling. The journal serves audiences across academic institutions, national research laboratories, and industrial research centers.
The journal was established in 1988 amid global expansions in scientific publishing led by organizations such as Springer Science+Business Media, Elsevier, Wiley-Blackwell, Taylor & Francis, and Oxford University Press. Early contributors included scholars affiliated with institutions like Peking University, Tsinghua University, Chinese Academy of Sciences, Massachusetts Institute of Technology, Stanford University, Harvard University, and Princeton University. During the 1990s and 2000s it intersected with developments at research centers such as Santa Fe Institute, Los Alamos National Laboratory, Max Planck Society, and Lawrence Berkeley National Laboratory. The journal’s trajectory reflects parallel trends in initiatives by funding agencies and policy bodies including the National Science Foundation, European Research Council, National Natural Science Foundation of China, Royal Society, and Academy of Sciences.
The journal covers theoretical and applied work in nonlinear dynamics, network science, information theory, and multi-agent systems. Typical topics overlap with subject areas explored by scholars associated with Nobel Prize in Physics, Turing Award, Fields Medal, Crafoord Prize, and institutions such as Institute for Advanced Study, Carnegie Mellon University, and California Institute of Technology. Specific themes include complex networks and graph theory studies related to Erdős–Rényi model, Barabási–Albert model, Watts–Strogatz model, synchronization problems linked to Kuramoto model, chaos research tracing to Lorenz attractor, and adaptive systems inspired by work at Santa Fe Institute. Applications span urban modeling connected to United Nations, epidemiological modeling referencing historical work on Spanish flu, resilience analyses influenced by Hurricane Katrina, and engineering problems in contexts linked to Bell Labs and Siemens.
The journal’s editorial board has traditionally included editors and associate editors affiliated with universities such as Tsinghua University, Peking University, University of Cambridge, University of Oxford, Massachusetts Institute of Technology, Stanford University, Imperial College London, Columbia University, and University of California, Berkeley. Peer review follows anonymous review models similar to policies at Nature Publishing Group, Science (journal), and Proceedings of the National Academy of Sciences of the United States of America. Editorial governance has referenced standards advocated by organizations like Committee on Publication Ethics, International Committee of Medical Journal Editors, and accreditation practices observed at Chinese Academy of Social Sciences and National Academy of Sciences (United States). Special issues have been guest-edited by scholars from research centers including Santa Fe Institute, Max Planck Institute for Mathematics in the Sciences, and Sloan School of Management.
The journal is abstracted and indexed in major databases and services used by libraries and research centers, comparable to indexing in Web of Science, Scopus, Inspec, Zentralblatt MATH, and ProQuest. It is discoverable through aggregators and catalogs maintained by institutions like Library of Congress, National Science Library (China), WorldCat, and university libraries at Harvard University, Yale University, University of Chicago, and University of Tokyo. Citation metrics and bibliometric analyses referencing the journal appear in studies produced by entities such as Clarivate Analytics, Elsevier Research Intelligence, and Google Scholar.
Reception among scholars in fields overlapping with complexity science, systems biology, computational social science, and control theory has been shaped by comparisons to journals such as Nature Communications, Physical Review E, Chaos: An Interdisciplinary Journal of Nonlinear Science, Complexity (journal), and IEEE Transactions on Systems, Man, and Cybernetics. Impact metrics have varied across years, with assessments by national research evaluation systems like Research Excellence Framework, National Natural Science Foundation of China evaluation, and bibliometric reports from Clarivate and Scopus. The journal’s influence is evident in citations within policy reports from organizations like World Health Organization and technical standards discussions at International Organization for Standardization where complex-systems perspectives inform resilience and risk frameworks.
Notable contributions include methodological advances in network controllability building on work by researchers associated with Ludwig Boltzmann Gesellschaft and mathematical formalisms that relate to foundational results by figures linked to Andrey Kolmogorov, Norbert Wiener, John von Neumann, and Alan Turing. Articles in the journal have featured applications to epidemic modeling that intersect with published work on SARS and COVID-19 pandemic response modeling, urban system analyses that dialogue with research on New York City and Beijing metropolitan dynamics, and computational innovations influencing projects at Google, Microsoft Research, and IBM Research. Several papers have been widely cited alongside landmark studies published in venues associated with Nature, Science, Proceedings of the Royal Society A, and PNAS (Proceedings of the National Academy of Sciences).
Category:Academic journals Category:Complex systems