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Journal of Computational Mathematics and Data Science is a peer-reviewed journal published by Elsevier, covering Fractional Differential Equations Solutions, Model Reduction and Neural Networks, Numerical methods for differential equations.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Journal of Computational Mathematics and Data Science 12 (2023) 45–58.
Formats any DOI in Journal of Computational Mathematics and Data Science style. No sign-up. |
| Publishes research in | Fractional Differential Equations Solutions Model Reduction and Neural Networks Numerical methods for differential equations Nanofluid Flow and Heat Transfer Sparse and Compressive Sensing Techniques |
| ISSN | 2772-4158 |
| Citation impact (2-yr) | 3.58 |
| h-index | 16 |
| i10-index | 25 |
| Total citations | 810 |
| Article processing charge | $1,000 |
| Open access | Yes |
| Top institutions publishing here | University of Bari Aldo Moro |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
The present analysis reports a computational study of Magnetohydrodynamic (MHD) flow behaviour of 2D Maxwell nanofluid across a stretched sheet in appearance of Brownian motion. The substantial term thermal radiation and chemical reactions have been employed extensively in the current research. Nanofluids are usually chosen by researchers because of their rheological properties, which are important…
The Singular Value Decomposition (SVD) is one of the most used factorizations when it comes to Data Science applications. In particular, given the big size of the processed matrices, in most of the cases, a truncated SVD algorithm is employed. In the following manuscript, we review some of the state-of-the-art approaches considered for the selection…
In view of the dominant properties of hybrid nanofluid such as high thermal and electrical conductivity in addition to enhanced heat transfer rate, efforts had been strengthened by many researchers to upgrade the thermal behavior of the base fluid through different approaches. In this study, viscous dissipation and thermal radiation effects on unsteady incompressible squeezing…
The recent investigations ensure that, the effect of an endoscope on the peristaltic flow is very important for medical diagnosis and it has many clinical applications such as gastric juice motion in the small intestine when an endoscope is inserted through it. In the current article, the influence of magnetohydrodynamic (MHD) on the peristaltic propulsion…
K-medoids clustering algorithm is a simple yet effective algorithm that has been applied to solve many clustering problems. Instead of using the mean point as the centre of a cluster, K-medoids uses an actual point to represent it. Medoid is the most centrally located object of the cluster, with a minimum sum of distances to…
