Ramandeep Behl

958 total citations
118 papers, 688 citations indexed

About

Ramandeep Behl is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Modeling and Simulation. According to data from OpenAlex, Ramandeep Behl has authored 118 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Numerical Analysis, 57 papers in Computational Theory and Mathematics and 31 papers in Modeling and Simulation. Recurrent topics in Ramandeep Behl's work include Iterative Methods for Nonlinear Equations (112 papers), Advanced Optimization Algorithms Research (107 papers) and Matrix Theory and Algorithms (50 papers). Ramandeep Behl is often cited by papers focused on Iterative Methods for Nonlinear Equations (112 papers), Advanced Optimization Algorithms Research (107 papers) and Matrix Theory and Algorithms (50 papers). Ramandeep Behl collaborates with scholars based in Saudi Arabia, India and United States. Ramandeep Behl's co-authors include S. S. Motsa, Juan R. Torregrosa, Alicia Cordero, V. Kanwar, Ali Saleh Alshomrani, Ioannis K. Argyros, M. Prashanth, Mehdi Salimi, Á. Alberto Magreñán and Eulalia Martı́nez 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

Ramandeep Behl

105 papers receiving 656 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramandeep Behl Saudi Arabia 15 626 342 198 98 46 118 688
V. Kanwar India 15 537 0.9× 269 0.8× 152 0.8× 99 1.0× 42 0.9× 70 591
Francisco I. Chicharro Spain 11 424 0.7× 173 0.5× 151 0.8× 72 0.7× 36 0.8× 40 475
Young Ik Kim South Korea 13 440 0.7× 259 0.8× 100 0.5× 95 1.0× 35 0.8× 51 509
Saïd Hilout France 13 695 1.1× 378 1.1× 232 1.2× 95 1.0× 15 0.3× 85 753
Richard F. King United States 8 391 0.6× 224 0.7× 92 0.5× 66 0.7× 23 0.5× 14 426
D.K.R. Babajee Mauritius 14 476 0.8× 252 0.7× 130 0.7× 62 0.6× 45 1.0× 25 527
Young Hee Geum South Korea 12 381 0.6× 222 0.6× 84 0.4× 76 0.8× 30 0.7× 39 418
Javed Iqbal Pakistan 12 225 0.4× 184 0.5× 93 0.5× 18 0.2× 8 0.2× 45 389
Jovana Džunić Serbia 15 888 1.4× 461 1.3× 239 1.2× 121 1.2× 80 1.7× 22 931
F. Khaksar Haghani Iran 12 272 0.4× 207 0.6× 62 0.3× 23 0.2× 7 0.2× 32 339

Countries citing papers authored by Ramandeep Behl

Since Specialization
Citations

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

Fields of papers citing papers by Ramandeep Behl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramandeep Behl

This figure shows the co-authorship network connecting the top 25 collaborators of Ramandeep Behl. A scholar is included among the top collaborators of Ramandeep Behl 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 Ramandeep Behl. Ramandeep Behl 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.
Ramos, Higinio, et al.. (2025). A Fourth-Order Parametric Iterative Approach for Solving Systems of Nonlinear Equations. Computation. 13(10). 241–241.
2.
Mishra, Shweta, Hiranmoy Mondal, Ramandeep Behl, & Mehdi Salimi. (2024). The Impact of Thermal Radiation on Mixed Convective Unsteady Nanofluid Flow in a Revolving Vertical Cone. Mathematics. 12(2). 349–349. 5 indexed citations
3.
Sharma, Puneet, et al.. (2024). Efficient iterative procedures for approximating fixed points of contractive-type mappings with applications. Numerical Algorithms. 99(1). 27–74.
4.
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
5.
Behl, Ramandeep, et al.. (2023). Approximating Multiple Roots of Applied Mathematical Problems Using Iterative Techniques. Axioms. 12(3). 270–270.
6.
Behl, Ramandeep, et al.. (2023). Higher-Order Multiplicative Derivative Iterative Scheme to Solve the Nonlinear Problems. Mathematical and Computational Applications. 28(1). 23–23. 3 indexed citations
7.
Alshomrani, Ali Saleh, et al.. (2020). One Parameter Optimal Derivative-Free Family to Find the Multiple Roots of Algebraic Nonlinear Equations. Mathematics. 8(12). 2223–2223. 12 indexed citations
8.
Argyros, Ioannis K., et al.. (2020). Ball convergence for combined three-step methods under generalized conditions in Banach space. Studia Universitatis Babes-Bolyai Matematica. 65(1). 127–137. 2 indexed citations
9.
Behl, Ramandeep, et al.. (2019). A New Optimal Family of Schröder’s Method for Multiple Zeros. Mathematics. 7(11). 1076–1076. 10 indexed citations
10.
Behl, Ramandeep, et al.. (2019). Some Real-Life Applications of a Newly Constructed Derivative Free Iterative Scheme. Symmetry. 11(2). 239–239. 23 indexed citations
11.
Behl, Ramandeep, et al.. (2018). Highly efficient family of iterative methods for solving nonlinear models. Journal of Computational and Applied Mathematics. 346. 110–132. 28 indexed citations
12.
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
13.
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
14.
Prashanth, M., et al.. (2017). A family of higher order iterations free from second derivative for nonlinear equations inR. Journal of Computational and Applied Mathematics. 330. 676–694. 15 indexed citations
15.
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.
16.
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
17.
Behl, Ramandeep & S. S. Motsa. (2015). Geometric Construction of Eighth‐Order Optimal Families of Ostrowski’s Method. The Scientific World JOURNAL. 2015(1). 614612–614612. 19 indexed citations
18.
Argyros, Ioannis K., Ramandeep Behl, & S. S. Motsa. (2015). Local Convergence of an Efficient High Convergence Order Method Using Hypothesis Only on the First Derivative. Algorithms. 8(4). 1076–1087. 2 indexed citations
19.
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
20.
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.

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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2026