V. Kanwar

804 total citations
70 papers, 591 citations indexed

About

V. Kanwar is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, V. Kanwar has authored 70 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Numerical Analysis, 28 papers in Computational Theory and Mathematics and 23 papers in Computational Mechanics. Recurrent topics in V. Kanwar's work include Iterative Methods for Nonlinear Equations (48 papers), Advanced Optimization Algorithms Research (44 papers) and Matrix Theory and Algorithms (24 papers). V. Kanwar is often cited by papers focused on Iterative Methods for Nonlinear Equations (48 papers), Advanced Optimization Algorithms Research (44 papers) and Matrix Theory and Algorithms (24 papers). V. Kanwar collaborates with scholars based in India, Spain and Saudi Arabia. V. Kanwar's co-authors include Sukhjit Singh, Ramandeep Behl, Higinio Ramos, S. K. Tomar, V. K. Kukreja, Sanjeev Kumar, Kapil K. Sharma, Juan R. Torregrosa, Alicia Cordero and S. S. Motsa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics of Fluids and Journal of Mathematical Analysis and Applications.

In The Last Decade

V. Kanwar

62 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V. Kanwar India	15	537	269	152	99	42	70	591
Ramandeep Behl Saudi Arabia	15	626 1.2×	342 1.3×	198 1.3×	98 1.0×	46 1.1×	118	688
Saïd Hilout France	13	695 1.3×	378 1.4×	232 1.5×	95 1.0×	15 0.4×	85	753
Taher Lotfi Iran	15	626 1.2×	312 1.2×	306 2.0×	51 0.5×	34 0.8×	64	755
Young Ik Kim South Korea	13	440 0.8×	259 1.0×	100 0.7×	95 1.0×	35 0.8×	51	509
Jovana Džunić Serbia	15	888 1.7×	461 1.7×	239 1.6×	121 1.2×	80 1.9×	22	931
F. Khaksar Haghani Iran	12	272 0.5×	207 0.8×	62 0.4×	23 0.2×	7 0.2×	32	339
Javed Iqbal Pakistan	12	225 0.4×	184 0.7×	93 0.6×	18 0.2×	8 0.2×	45	389
Ahmet Yaşar Özban Türkiye	8	216 0.4×	134 0.5×	58 0.4×	46 0.5×	11 0.3×	20	378
Ioannis K. Argyros United States	5	215 0.4×	113 0.4×	95 0.6×	22 0.2×	4 0.1×	9	259
Toshiyuki Koto Japan	11	283 0.5×	114 0.4×	86 0.6×	82 0.8×		17	373

Countries citing papers authored by V. Kanwar

Since Specialization

Citations

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

Fields of papers citing papers by V. Kanwar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Kanwar

This figure shows the co-authorship network connecting the top 25 collaborators of V. Kanwar. A scholar is included among the top collaborators of V. Kanwar 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 V. Kanwar. V. Kanwar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kanwar, V., et al.. (2024). An optimized algorithm for numerical solution of coupled Burgers equations. Applied Numerical Mathematics. 204. 352–361.

Kanwar, V., et al.. (2024). A conservative algorithm based on a hybrid block method and tension B‐spline differential quadrature method for Rosenau–KdV–RLW equation. Mathematical Methods in the Applied Sciences. 47(11). 8638–8650.

Sharma, Puneet, et al.. (2024). Efficient iterative procedures for approximating fixed points of contractive-type mappings with applications. Numerical Algorithms. 99(1). 27–74.

Argyros, Ioannis K., et al.. (2024). Stability and Data Dependence Results for Jungck-type Iteration Scheme. Contemporary Mathematics. 743–760. 1 indexed citations

Kanwar, V., et al.. (2023). A New Third-Order Family of Multiple Root-Findings Based on Exponential Fitted Curve. Algorithms. 16(3). 156–156. 3 indexed citations

Kanwar, V., et al.. (2023). On Some Fixed Point Iterative Schemes with Strong Convergence and Their Applications. Mathematical and Computational Applications. 28(2). 45–45.

Sharma, Puneet, Higinio Ramos, Ramandeep Behl, & V. Kanwar. (2023). A new three-step fixed point iteration scheme with strong convergence and applications. Journal of Computational and Applied Mathematics. 430. 115242–115242. 8 indexed citations

Kanwar, V., et al.. (2023). A coupled scheme based on uniform algebraic trigonometric tension B-spline and a hybrid block method for Camassa-Holm and Degasperis-Procesi equations. Computational and Applied Mathematics. 43(1). 1 indexed citations

Alshomrani, Ali Saleh, Ramandeep Behl, & V. Kanwar. (2019). An optimal reconstruction of Chebyshev–Halley type methods for nonlinear equations having multiple zeros. Journal of Computational and Applied Mathematics. 354. 651–662. 4 indexed citations

10.

Alshomrani, Ali Saleh, et al.. (2018). General efficient class of Steffensen type methods with memory for solving systems of nonlinear equations. Journal of Computational and Applied Mathematics. 352. 23–39. 22 indexed citations

11.

Argyros, Ioannis K., et al.. (2017). Ball convergence of a stable fourth-order family for solving nonlinear systems under weak conditions. Studia Universitatis Babes-Bolyai Matematica. 62(1). 127–135. 2 indexed citations

12.

Kanwar, V., et al.. (2017). New efficient derivative free family of seventh-order methods for solving systems of nonlinear equations. Numerical Algorithms. 76(1). 283–307. 13 indexed citations

13.

Kanwar, V., et al.. (2016). Optimized mean based second derivative-free families of Chebyshev–Halley type methods. Numerical Analysis and Applications. 9(2). 129–140. 3 indexed citations

14.

Ramos, Higinio, et al.. (2016). An embedded 3(2) pair of nonlinear methods for solving first order initial-value ordinary differential systems. Numerical Algorithms. 75(3). 509–529. 14 indexed citations

15.

Singh, Gurjinder, et al.. (2013). Exponentially Fitted Variants of the Two-Step Adams-Bashforth Method for the Numerical Integration of Initial Value Problems. Applications and Applied Mathematics: An International Journal (AAM). 8(2). 26. 1 indexed citations

16.

Kanwar, V., Ramandeep Behl, & Kapil K. Sharma. (2011). Simply constructed family of a Ostrowski’s method with optimal order of convergence. Computers & Mathematics with Applications. 62(11). 4021–4027. 15 indexed citations

17.

Kanwar, V., Kapil K. Sharma, & Ramandeep Behl. (2010). New Variants of Newton’s Method for Nonlinear Unconstrained Optimization Problems. Intelligent Information Management. 2(1). 40–45.

18.

Kanwar, V. & S. K. Tomar. (2008). Exponentially fitted variants of Newton's method with quadratic and cubic convergence. International Journal of Computer Mathematics. 86(9). 1603–1611. 5 indexed citations

19.

Kanwar, V. & S. K. Tomar. (2007). Modified families of multi-point iterative methods for solving nonlinear equations. Numerical Algorithms. 44(4). 381–389. 10 indexed citations

20.

Kanwar, V., et al.. (2005). A new family of Secant-like method with super-linear convergence. Applied Mathematics and Computation. 171(1). 104–107. 13 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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