Dynamic modeling based on a temporal–causal network modeling approach

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Cite
Treur, Jan. “Dynamic Modeling Based on a temporal–causal Network Modeling Approach”. Biologically Inspired Cognitive Architectures, vol. 16, 2016, pp. 131-68, https://doi.org/10.1016/j.bica.2016.02.002.
Treur, J. (2016). Dynamic modeling based on a temporal–causal network modeling approach. Biologically Inspired Cognitive Architectures, 16, 131-168. https://doi.org/10.1016/j.bica.2016.02.002
Treur, Jan. “Dynamic Modeling Based on a temporal–causal Network Modeling Approach”. Biologically Inspired Cognitive Architectures 16 (2016): 131-68. https://doi.org/10.1016/j.bica.2016.02.002.
Treur J. Dynamic modeling based on a temporal–causal network modeling approach. Biologically Inspired Cognitive Architectures. 2016;16:131-68.
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Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 3 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Adaptive Modelling of Trauma: Development and Recovery of Patients and was published in 2016. The most recent citation comes from a 2024 study titled A multi-adaptive network model for human Hebbian learning, synchronization and social bonding based on adaptive homophily. This article reached its peak citation in 2018, with 4 citations. It has been cited in 8 different journals, 25% of which are open access. Among related journals, the Cognitive Systems Research cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year