M. Shamsi

1.2k total citations
54 papers, 995 citations indexed

About

M. Shamsi is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, M. Shamsi has authored 54 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Numerical Analysis, 16 papers in Computational Mechanics and 9 papers in Computational Theory and Mathematics. Recurrent topics in M. Shamsi's work include Advanced Optimization Algorithms Research (10 papers), Fractional Differential Equations Solutions (9 papers) and Spacecraft Dynamics and Control (8 papers). M. Shamsi is often cited by papers focused on Advanced Optimization Algorithms Research (10 papers), Fractional Differential Equations Solutions (9 papers) and Spacecraft Dynamics and Control (8 papers). M. Shamsi collaborates with scholars based in Iran, Portugal and United States. M. Shamsi's co-authors include Shahrokh Esmaeili, Mehdi Dehghan, Yury Luchko, Saeed Shaikhzadeh Najar, Mehdi Razzaghi, Delfim F. M. Torres, Ali Asghar Mirghasemi, Kristian Jessen, Mohsen Razzaghi and Maria do Rosário de Pinho and has published in prestigious journals such as Computer Physics Communications, Journal of the Franklin Institute and Journal of Machine Learning Research.

In The Last Decade

M. Shamsi

51 papers receiving 955 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Shamsi Iran 16 454 435 185 158 149 54 995
Aytaç Arıkoğlu Türkiye 19 987 2.2× 709 1.6× 249 1.3× 422 2.7× 266 1.8× 34 1.8k
Mingxu Yi China 15 366 0.8× 290 0.7× 124 0.7× 74 0.5× 31 0.2× 53 651
Lizeth Torres Mexico 17 266 0.6× 120 0.3× 78 0.4× 106 0.7× 43 0.3× 83 963
Saïd Mesloub Saudi Arabia 14 176 0.4× 177 0.4× 225 1.2× 79 0.5× 302 2.0× 40 854
Mikael Enelund Sweden 13 410 0.9× 116 0.3× 50 0.3× 384 2.4× 36 0.2× 36 917
Haitian Yang China 17 175 0.4× 133 0.3× 28 0.2× 647 4.1× 250 1.7× 108 1.1k
Xiaoping Xie China 16 143 0.3× 225 0.5× 20 0.1× 394 2.5× 473 3.2× 124 1.1k
Juan Reyes‐Reyes Mexico 13 191 0.4× 85 0.2× 64 0.3× 43 0.3× 31 0.2× 38 547
Jean‐Claude Trigeassou France 18 954 2.1× 284 0.7× 125 0.7× 60 0.4× 18 0.1× 85 1.8k

Countries citing papers authored by M. Shamsi

Since Specialization
Citations

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

Fields of papers citing papers by M. Shamsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Shamsi. 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 M. Shamsi. The network helps show where M. Shamsi may publish in the future.

Co-authorship network of co-authors of M. Shamsi

This figure shows the co-authorship network connecting the top 25 collaborators of M. Shamsi. A scholar is included among the top collaborators of M. Shamsi 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 M. Shamsi. M. Shamsi 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.
Shamsi, M., et al.. (2025). Robust Portfolio Selection Under Model Ambiguity Using Deep Learning. International Journal of Financial Studies. 13(1). 38–38.
2.
3.
Shamsi, M., et al.. (2024). A direct transcription method for solving distributed-order fractional optimal control problems. Journal of Vibration and Control. 31(7-8). 1126–1140. 1 indexed citations
4.
Shamsi, M., et al.. (2019). A numerical method based on the complementarity and optimal control formulations for solving a family of zero-sum pursuit-evasion differential games. Journal of Computational and Applied Mathematics. 368. 112535–112535. 6 indexed citations
5.
Babolian, E., et al.. (2018). Stable evaluations of fractional derivative of the Müntz–Legendre polynomials and application to fractional differential equations. Journal of Computational and Applied Mathematics. 348. 70–88. 14 indexed citations
6.
Shamsi, M., et al.. (2017). A mixed-binary non-linear programming approach for the numerical solution of a family of singular optimal control problems. International Journal of Control. 92(7). 1551–1566. 8 indexed citations
7.
Shamsi, M., et al.. (2017). An adaptive wavelet collocation method for solving optimal control of elliptic variational inequalities of the obstacle type. Computers & Mathematics with Applications. 75(2). 470–485. 9 indexed citations
8.
Shamsi, M., et al.. (2017). Direct pseudo-spectral method for optimal control of obstacle problem - an optimal control problem governed by elliptic variational inequality. Mathematical Methods in the Applied Sciences. 11 indexed citations
9.
Ghasemzadeh, Hasan, et al.. (2017). Experimental study of sulfuric acid effects on hydro-mechanical properties of oxide copper heap soils. Minerals Engineering. 117. 100–107. 9 indexed citations
10.
Shamsi, M., et al.. (2015). Effect of grinding time on flotation recovery of copper smelting slags in Bardaskan district. Journal of mining and environment. 6(2). 237–249. 9 indexed citations
11.
Sabaei, Masoud, et al.. (2015). Topology control in network-coding-based-multicast wireless sensor networks. International Journal of Sensor Networks. 17(2). 93–93. 13 indexed citations
12.
Shamsi, M., et al.. (2015). Distributed optimal control of the viscous Burgers equation via a Legendre pseudo‐spectral approach. Mathematical Methods in the Applied Sciences. 39(12). 3350–3360. 25 indexed citations
13.
Shamsi, M., et al.. (2014). An efficient solution of hamiltonian boundary value problems by combined gauss pseudospectral method with differential continuation approach. Journal of the Franklin Institute. 351(10). 4765–4785. 7 indexed citations
14.
Esmaeili, Shahrokh, M. Shamsi, & Yury Luchko. (2011). Numerical solution of fractional differential equations with a collocation method based on Müntz polynomials. Computers & Mathematics with Applications. 62(3). 918–929. 139 indexed citations
15.
Shamsi, M., et al.. (2011). Solution of nonlinear optimal control problems by the interpolating scaling functions. Acta Astronautica. 72. 21–26. 14 indexed citations
16.
Safabakhsh, Reza, et al.. (2010). Learning Translation Invariant Kernels for Classification. Journal of Machine Learning Research. 11(45). 1353–1390. 10 indexed citations
17.
Esmaeili, Shahrokh & M. Shamsi. (2010). A pseudo-spectral scheme for the approximate solution of a family of fractional differential equations. Communications in Nonlinear Science and Numerical Simulation. 16(9). 3646–3654. 118 indexed citations
18.
Shamsi, M., et al.. (2008). Numerical Solution of the Controlled Rayleigh Nonlinear Oscillator by the Direct Spectral Method. Journal of Vibration and Control. 14(6). 795–806. 7 indexed citations
19.
Shamsi, M. & Mehdi Dehghan. (2006). Recovering a time‐dependent coefficient in a parabolic equation from overspecified boundary data using the pseudospectral Legendre method. Numerical Methods for Partial Differential Equations. 23(1). 196–210. 36 indexed citations
20.
Shamsi, M., Mohsen Razzaghi, Jalal Nazarzadeh, & Masoud Shafiee. (2004). HAAR WAVELETS METHOD FOR SOLVING POCKLINGTON'S INTEGRAL EQUATION. Kybernetika. 40(4). 491–500. 2 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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