S. S. Motsa

4.7k total citations
191 papers, 3.8k citations indexed

About

S. S. Motsa is a scholar working on Biomedical Engineering, Computational Mechanics and Numerical Analysis. According to data from OpenAlex, S. S. Motsa has authored 191 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Biomedical Engineering, 89 papers in Computational Mechanics and 80 papers in Numerical Analysis. Recurrent topics in S. S. Motsa's work include Nanofluid Flow and Heat Transfer (116 papers), Fractional Differential Equations Solutions (73 papers) and Fluid Dynamics and Turbulent Flows (69 papers). S. S. Motsa is often cited by papers focused on Nanofluid Flow and Heat Transfer (116 papers), Fractional Differential Equations Solutions (73 papers) and Fluid Dynamics and Turbulent Flows (69 papers). S. S. Motsa collaborates with scholars based in South Africa, Eswatini and India. S. S. Motsa's co-authors include Precious Sibanda, Stanford Shateyi, Faiz G. Awad, M. Khumalo, Z. G. Makukula, Ramandeep Behl, Hiranmoy Mondal, Phumlani Dlamini, Sabyasachi Mondal and Mariam Sheikh and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Heat and Mass Transfer.

In The Last Decade

S. S. Motsa

184 papers receiving 3.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. S. Motsa South Africa 33 2.9k 2.3k 2.1k 783 756 191 3.8k
Constantin Fetecău Romania 44 4.3k 1.5× 2.9k 1.3× 1.6k 0.8× 492 0.6× 2.0k 2.6× 195 5.1k
Mehmet Pakdemi̇rli̇ Türkiye 37 1.0k 0.3× 2.1k 0.9× 808 0.4× 359 0.5× 576 0.8× 148 3.5k
Naveed Ahmed Pakistan 38 3.0k 1.0× 1.8k 0.8× 2.5k 1.2× 96 0.1× 545 0.7× 153 3.7k
S. Srinivas India 28 2.9k 1.0× 2.3k 1.0× 1.6k 0.8× 79 0.1× 159 0.2× 101 3.3k
Muhammad Bilal Pakistan 33 2.5k 0.9× 1.8k 0.8× 2.0k 1.0× 75 0.1× 239 0.3× 109 2.9k
Elyas Shivanian Iran 32 612 0.2× 661 0.3× 472 0.2× 1.0k 1.3× 1.5k 2.0× 143 3.0k
Vasile Marinca Romania 25 790 0.3× 329 0.1× 363 0.2× 1.0k 1.3× 1.6k 2.1× 90 2.3k
Amer Rasheed Pakistan 21 823 0.3× 481 0.2× 540 0.3× 128 0.2× 372 0.5× 44 1.1k
Elsayed M.E. Elbarbary Egypt 19 576 0.2× 453 0.2× 417 0.2× 299 0.4× 226 0.3× 36 976
Hammad Alotaibi Saudi Arabia 21 826 0.3× 561 0.2× 621 0.3× 86 0.1× 194 0.3× 107 1.4k

Countries citing papers authored by S. S. Motsa

Since Specialization
Citations

This map shows the geographic impact of S. S. Motsa's research. 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 S. S. Motsa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. S. Motsa more than expected).

Fields of papers citing papers by S. S. Motsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. S. Motsa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S. S. Motsa. The network helps show where S. S. Motsa may publish in the future.

Co-authorship network of co-authors of S. S. Motsa

This figure shows the co-authorship network connecting the top 25 collaborators of S. S. Motsa. A scholar is included among the top collaborators of S. S. Motsa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. S. Motsa. S. S. Motsa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Motsa, S. S., et al.. (2024). A bivariate spectral linear partition method for solving nonlinear evolution equations. Mathematical Methods in the Applied Sciences. 47(7). 6607–6621. 2 indexed citations
2.
Motsa, S. S., et al.. (2024). A rational optimal block hybrid method for enhanced accuracy in solving Lane–Emden equations. Partial Differential Equations in Applied Mathematics. 12. 101003–101003.
3.
Dhlamini, Mlamuli, Hiranmoy Mondal, Precious Sibanda, & S. S. Motsa. (2020). Rotational nanofluids for oxytactic microorganisms with convective boundary conditions using bivariate spectral quasi-linearization method. Journal of Central South University. 27(3). 824–841. 16 indexed citations
4.
Motsa, S. S., et al.. (2020). Multidomain bivariate pseudo‐spectral quasilinearization method for systems of nonlinear partial differential equations. Computational and Mathematical Methods. 2(4). 6 indexed citations
5.
Motsa, S. S., et al.. (2020). A comparison of bivariate pseudospectral methods for nonlinear systems of steady nonsimilar boundary layer partial differential equations. Computational and Mathematical Methods. 2(6). 3 indexed citations
6.
Ansari, M., et al.. (2019). A Paired Quasi-linearization on Magnetohydrodynamic Flow and Heat Transfer of Casson Nanofluid with Hall Effects. SHILAP Revista de lepidopterología. 9 indexed citations
7.
Mondal, Hiranmoy, et al.. (2018). Numerical simulation of couple stress nanofluid flow in magneto-porous medium with thermal radiation and a chemical reaction. Applied Mathematics and Computation. 339. 820–836. 28 indexed citations
8.
Behl, Ramandeep, Sergio Amat, Á. Alberto Magreñán, & S. S. Motsa. (2018). An efficient optimal family of sixteenth order methods for nonlinear models. Journal of Computational and Applied Mathematics. 354. 271–285. 6 indexed citations
10.
Behl, Ramandeep, Alicia Cordero, S. S. Motsa, & Juan R. Torregrosa. (2017). Stable high-order iterative methods for solving nonlinear models. Applied Mathematics and Computation. 303. 70–88. 18 indexed citations
11.
Shateyi, Stanford, et al.. (2016). The Mixed Finite Element Multigrid Preconditioned MINRES Method for Stokes Equations. SHILAP Revista de lepidopterología.
12.
Behl, Ramandeep, M. Prashanth, & S. S. Motsa. (2016). Efficient family of sixth-order iterative methods for nonlinear models which require only one inverse Jacobian matrix.
13.
Behl, Ramandeep, M. Prashanth, & S. S. Motsa. (2016). A family of second derivative free fourth order continuation method for solving nonlinear equations. Journal of Computational and Applied Mathematics. 318. 38–46. 11 indexed citations
14.
Shateyi, Stanford, et al.. (2015). On Spectral Relaxation Method for Entropy Generation on a MHD Flow and Heat Transfer of a Maxwell Fluid. Journal of Applied Fluid Mechanics. 8(1). 11 indexed citations
15.
Makukula, Z. G., et al.. (2014). Spectral Homotopy Analysis Method for PDEs That Model the Unsteady Von Kàrmàn Swirling Flow. Journal of Applied Fluid Mechanics. 7(4). 5 indexed citations
16.
Dlamini, Phumlani, S. S. Motsa, & M. Khumalo. (2013). On the Comparison between Compact Finite Difference and Pseudospectral Approaches for Solving Similarity Boundary Layer Problems. Mathematical Problems in Engineering. 2013. 1–15. 10 indexed citations
17.
Awad, Faiz G., et al.. (2011). Convection from a semi-finite plate in a fluid saturated porous medium with cross-diffusion and radiative heat transfer. International Journal of the Physical Sciences. 6(21). 4910–4923. 12 indexed citations
18.
Awad, Faiz G., Precious Sibanda, S. S. Motsa, & Oluwole Daniel Makinde. (2011). Convection from an inverted cone in a porous medium with cross-diffusion effects. Computers & Mathematics with Applications. 61(5). 1431–1441. 75 indexed citations
19.
Motsa, S. S. & Precious Sibanda. (2010). A new algorithm for solving singular IVPs of Lane-Emden type. International Conference on Applied Mathematics. 176–180. 14 indexed citations
20.
Shateyi, Stanford, Precious Sibanda, & S. S. Motsa. (2005). An asymptotic analysis of convection in boundary layer flows in the presence of a chemical reaction. Archives of Mechanics. 57(1). 25–41. 1 indexed citations

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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