Keyvan Amini

863 total citations
44 papers, 657 citations indexed

About

Keyvan Amini is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Keyvan Amini has authored 44 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Numerical Analysis, 28 papers in Computational Theory and Mathematics and 9 papers in Control and Systems Engineering. Recurrent topics in Keyvan Amini's work include Advanced Optimization Algorithms Research (41 papers), Iterative Methods for Nonlinear Equations (25 papers) and Matrix Theory and Algorithms (16 papers). Keyvan Amini is often cited by papers focused on Advanced Optimization Algorithms Research (41 papers), Iterative Methods for Nonlinear Equations (25 papers) and Matrix Theory and Algorithms (16 papers). Keyvan Amini collaborates with scholars based in Iran, Austria and Iraq. Keyvan Amini's co-authors include Masoud Ahookhosh, M. Reza Peyghami, Mushtak A. K. Shiker, Giuseppe Caristi, Nezam Mahdavi‐Amiri, Hassan Khotanlou, Tofigh Allahviranloo and Hadi Veladi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Mathematics and Computation and Computers & Mathematics with Applications.

In The Last Decade

Keyvan Amini

43 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keyvan Amini Iran 16 490 268 206 90 84 44 657
Masoud Ahookhosh Austria 13 362 0.7× 204 0.8× 194 0.9× 62 0.7× 104 1.2× 29 480
Stefania Bellavia Italy 15 446 0.9× 366 1.4× 303 1.5× 54 0.6× 104 1.2× 53 699
Min Sun China 15 336 0.7× 231 0.9× 230 1.1× 105 1.2× 59 0.7× 76 655
M. Al-Baali Oman 8 485 1.0× 315 1.2× 209 1.0× 32 0.4× 68 0.8× 15 603
F. Toutounian Iran 13 373 0.8× 336 1.3× 85 0.4× 58 0.6× 30 0.4× 61 607
Yu. G. Evtushenko Russia 13 284 0.6× 234 0.9× 69 0.3× 119 1.3× 73 0.9× 74 538
Ladislav Lukšan Czechia 15 513 1.0× 514 1.9× 235 1.1× 67 0.7× 54 0.6× 55 712
Aliyu Muhammed Awwal Nigeria 18 530 1.1× 200 0.7× 416 2.0× 44 0.5× 53 0.6× 50 826
Cui-Xia Li China 16 457 0.9× 611 2.3× 154 0.7× 39 0.4× 73 0.9× 86 755
Margherita Porcelli Italy 14 230 0.5× 186 0.7× 158 0.8× 42 0.5× 47 0.6× 34 441

Countries citing papers authored by Keyvan Amini

Since Specialization
Citations

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

Fields of papers citing papers by Keyvan Amini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keyvan Amini

This figure shows the co-authorship network connecting the top 25 collaborators of Keyvan Amini. A scholar is included among the top collaborators of Keyvan Amini 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 Keyvan Amini. Keyvan Amini 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.
Amini, Keyvan, et al.. (2024). A new diagonal quasi-Newton algorithm for unconstrained optimization problems. Applications of Mathematics. 69(4). 501–512. 1 indexed citations
2.
Amini, Keyvan, et al.. (2023). An adaptive modified three-term conjugate gradient method with global convergence. Applied Numerical Mathematics. 190. 187–199. 2 indexed citations
3.
Amini, Keyvan, et al.. (2021). A new nonmonotone adaptive trust region algorithm. Applications of Mathematics. 67(2). 233–250. 1 indexed citations
4.
Amini, Keyvan, et al.. (2019). A DESCENT PRP CONJUGATE GRADIENT METHOD FOR UNCONSTRAINED OPTIMIZATION. DSpace - Isik (Işık University). 1 indexed citations
5.
Amini, Keyvan, et al.. (2019). A Modified Spectral Conjugate Gradient Method with Global Convergence. Journal of Optimization Theory and Applications. 182(2). 667–690. 36 indexed citations
6.
Shiker, Mushtak A. K. & Keyvan Amini. (2018). A new projection-based algorithm for solving a large-scale nonlinear system of monotone equations. Croatian Operational Research Review. 9(1). 63–73. 36 indexed citations
7.
Amini, Keyvan, et al.. (2017). Design and Simulation of Novel Optofluidic ring resonator for Biomolecular Detection. 6(2). 1 indexed citations
8.
Amini, Keyvan, et al.. (2017). A non-monotone pattern search approach for systems of nonlinear equations. International Journal of Computer Mathematics. 96(1). 33–50. 2 indexed citations
9.
Ahookhosh, Masoud, et al.. (2016). A limited memory adaptive trust-region approach for large-scale unconstrained optimization. Bulletin of the Iranian Mathematical Society. 42(4). 819–837. 4 indexed citations
10.
Amini, Keyvan, et al.. (2016). A nonmonotone trust-region-approach with nonmonotone adaptive radius for solving nonlinear systems. SHILAP Revista de lepidopterología. 6(1). 101–121. 3 indexed citations
11.
Amini, Keyvan, et al.. (2016). A nonmonotone modified BFGS algorithm for nonconvex unconstrained optimization problems. Filomat. 30(5). 1283–1296. 1 indexed citations
12.
Amini, Keyvan, et al.. (2015). A modified two steps Levenberg–Marquardt method for nonlinear equations. Journal of Computational and Applied Mathematics. 288. 341–350. 44 indexed citations
13.
Amini, Keyvan, et al.. (2015). Three-steps modified Levenberg–Marquardt method with a new line search for systems of nonlinear equations. Journal of Computational and Applied Mathematics. 300. 30–42. 15 indexed citations
14.
Ahookhosh, Masoud, et al.. (2012). A class of nonmonotone Armijo-type line search method for unconstrained optimization. Optimization. 61(4). 387–404. 21 indexed citations
15.
Ahookhosh, Masoud, Keyvan Amini, & M. Reza Peyghami. (2011). A nonmonotone trust-region line search method for large-scale unconstrained optimization. Applied Mathematical Modelling. 36(1). 478–487. 57 indexed citations
16.
Ahookhosh, Masoud & Keyvan Amini. (2010). A Nonmonotone trust region method with adaptive radius for unconstrained optimization problems. Computers & Mathematics with Applications. 60(3). 411–422. 59 indexed citations
17.
Amini, Keyvan, et al.. (2010). A new structured quasi-Newton algorithm using partial information on Hessian. Journal of Computational and Applied Mathematics. 234(3). 805–811. 16 indexed citations
18.
Amini, Keyvan & Nezam Mahdavi‐Amiri. (2006). Solving rank one perturbed linear Diophantine systems by the ABS method. Optimization methods & software. 21(5). 819–831. 3 indexed citations
19.
Amini, Keyvan & M. Reza Peyghami. (2005). An interior point method for linear programming based on a class of Kernel functions. Bulletin of the Australian Mathematical Society. 71(1). 139–153. 4 indexed citations
20.
Amini, Keyvan & M. Reza Peyghami. (2005). Complexity analysis of interior-point methods for linear optimization based on some conditions on kernel function. Applied Mathematics and Computation. 176(1). 194–207. 3 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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