An Elite Pool-Based Big Bang-Big Crunch Metaheuristic for Data Clustering

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Cite
Al-Marashdeh, Ibrahim, et al. “An Elite Pool-Based Big Bang-Big Crunch Metaheuristic for Data Clustering”. Journal of Computer Science, vol. 14, no. 12, 2018, pp. 1611-26, https://doi.org/10.3844/jcssp.2018.1611.1626.
Al-Marashdeh, I., Jaradat, G. M., Ayob, M., Abu-Al-Aish, A., & Alsmadi, M. (2018). An Elite Pool-Based Big Bang-Big Crunch Metaheuristic for Data Clustering. Journal of Computer Science, 14(12), 1611-1626. https://doi.org/10.3844/jcssp.2018.1611.1626
Al-Marashdeh I, Jaradat GM, Ayob M, Abu-Al-Aish A, Alsmadi M. An Elite Pool-Based Big Bang-Big Crunch Metaheuristic for Data Clustering. Journal of Computer Science. 2018;14(12):1611-26.
Citations Analysis
The category Technology: Technology (General): Industrial engineering. Management engineering 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Point of Sale (POS) Network with Embedded Fingerprint Biometric Authentication and was published in 2019. The most recent citation comes from a 2023 study titled An Effective Hybrid Framework Based on Combination of Color and Texture Features for Content-Based Image Retrieval. This article reached its peak citation in 2020, with 14 citations. It has been cited in 3 different journals. Among related journals, the International Journal of Scientific Research in Science and Technology cited this research the most, with 15 citations. The chart below illustrates the annual citation trends for this article.
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