Himani Arora

600 total citations
23 papers, 425 citations indexed

About

Himani Arora is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Modeling and Simulation. According to data from OpenAlex, Himani Arora has authored 23 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Numerical Analysis, 8 papers in Computational Theory and Mathematics and 8 papers in Modeling and Simulation. Recurrent topics in Himani Arora's work include Iterative Methods for Nonlinear Equations (20 papers), Advanced Optimization Algorithms Research (19 papers) and Fractional Differential Equations Solutions (8 papers). Himani Arora is often cited by papers focused on Iterative Methods for Nonlinear Equations (20 papers), Advanced Optimization Algorithms Research (19 papers) and Fractional Differential Equations Solutions (8 papers). Himani Arora collaborates with scholars based in India, Spain and Saudi Arabia. Himani Arora's co-authors include Janak Raj Sharma, Miodrag S. Petković, Ramandeep Behl, Arvind Mahindru, Seifedine Kadry, Jungeun Kim, Shubham Mahajan, Sachin Kumar Gupta, Alicia Cordero and Lorentz Jäntschi and has published in prestigious journals such as Scientific Reports, Applied Mathematics and Computation and Journal of Computational and Applied Mathematics.

In The Last Decade

Himani Arora

22 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Himani Arora India 12 373 213 132 38 26 23 425
F. Khaksar Haghani Iran 12 272 0.7× 207 1.0× 62 0.5× 23 0.6× 12 0.5× 32 339
D.K.R. Babajee Mauritius 14 476 1.3× 252 1.2× 130 1.0× 62 1.6× 25 1.0× 25 527
Jovana Džunić Serbia 15 888 2.4× 461 2.2× 239 1.8× 121 3.2× 41 1.6× 22 931
Saïd Hilout France 13 695 1.9× 378 1.8× 232 1.8× 95 2.5× 116 4.5× 85 753
Mudassir Shams Pakistan 11 213 0.6× 75 0.4× 147 1.1× 61 1.6× 23 0.9× 54 309
Abdellah Bnouhachem China 14 361 1.0× 469 2.2× 26 0.2× 47 1.2× 36 1.4× 61 500
Kifayat Ullah Pakistan 9 182 0.5× 275 1.3× 39 0.3× 5 0.1× 16 0.6× 70 346
Yifen Ke China 10 262 0.7× 340 1.6× 14 0.1× 61 1.6× 6 0.2× 52 396
Jürgen Herzberger Germany 7 176 0.5× 212 1.0× 19 0.1× 41 1.1× 12 0.5× 37 281
Hongjiong Tian China 14 389 1.0× 148 0.7× 140 1.1× 46 1.2× 7 0.3× 46 496

Countries citing papers authored by Himani Arora

Since Specialization
Citations

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

Fields of papers citing papers by Himani Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Himani Arora

This figure shows the co-authorship network connecting the top 25 collaborators of Himani Arora. A scholar is included among the top collaborators of Himani Arora 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 Himani Arora. Himani Arora 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.
Mahindru, Arvind, Himani Arora, Sachin Kumar Gupta, et al.. (2024). PermDroid a framework developed using proposed feature selection approach and machine learning techniques for Android malware detection. Scientific Reports. 14(1). 10724–10724. 14 indexed citations
2.
Arora, Himani, et al.. (2023). A Family of Higher Order Scheme for Multiple Roots. Symmetry. 15(1). 228–228. 3 indexed citations
3.
Behl, Ramandeep, et al.. (2023). Approximating Multiple Roots of Applied Mathematical Problems Using Iterative Techniques. Axioms. 12(3). 270–270.
4.
Ali, Ali Hasan, et al.. (2023). New Family of Multi-Step Iterative Methods Based on Homotopy Perturbation Technique for Solving Nonlinear Equations. Mathematics. 11(12). 2603–2603. 4 indexed citations
5.
Mahindru, Arvind & Himani Arora. (2023). PARUDroid: Framework that Enhances Smartphone Security Using an Ensemble Learning Approach. SN Computer Science. 4(5). 1 indexed citations
6.
Arora, Himani, et al.. (2022). Derivative-Free Iterative Schemes for Multiple Roots of Nonlinear Functions. Mathematics. 10(9). 1530–1530. 2 indexed citations
7.
Sharma, Janak Raj & Himani Arora. (2021). A Family of Fifth-Order Iterative Methods for Finding Multiple Roots of Nonlinear Equations. Numerical Analysis and Applications. 14(2). 186–199. 5 indexed citations
8.
Sharma, Janak Raj & Himani Arora. (2019). Efficient Ostrowski-like methods of optimal eighthand sixteenth order convergence and their dynamics. Afrika Matematika. 30(5-6). 921–941. 1 indexed citations
9.
Arora, Himani, Juan R. Torregrosa, & Alicia Cordero. (2018). Modified Potra–Pták Multi-step Schemes with Accelerated Order of Convergence for Solving Systems of Nonlinear Equations. Mathematical and Computational Applications. 24(1). 3–3. 3 indexed citations
10.
Sharma, Janak Raj & Himani Arora. (2017). Efficient higher order derivative-free multipoint methods with and without memory for systems of nonlinear equations. International Journal of Computer Mathematics. 95(5). 920–938. 14 indexed citations
11.
Sharma, Janak Raj & Himani Arora. (2016). Improved Newton-like methods for solving systems of nonlinear equations. SeMA Journal. 74(2). 147–163. 31 indexed citations
12.
Sharma, Janak Raj & Himani Arora. (2016). Some novel optimal eighth order derivative-free root solvers and their basins of attraction. Applied Mathematics and Computation. 284. 149–161. 6 indexed citations
13.
Sharma, Janak Raj & Himani Arora. (2015). A new family of optimal eighth order methods with dynamics for nonlinear equations. Applied Mathematics and Computation. 273. 924–933. 46 indexed citations
14.
Sharma, Janak Raj & Himani Arora. (2014). A novel derivative free algorithm with seventh order convergence for solving systems of nonlinear equations. Numerical Algorithms. 67(4). 917–933. 26 indexed citations
15.
Sharma, Janak Raj, Himani Arora, & Miodrag S. Petković. (2014). An efficient derivative free family of fourth order methods for solving systems of nonlinear equations. Applied Mathematics and Computation. 235. 383–393. 17 indexed citations
16.
Sharma, Janak Raj & Himani Arora. (2013). An efficient family of weighted-Newton methods with optimal eighth order convergence. Applied Mathematics Letters. 29. 1–6. 28 indexed citations
17.
Sharma, Janak Raj & Himani Arora. (2013). Efficient Jarratt-like methods for solving systems of nonlinear equations. CALCOLO. 51(1). 193–210. 64 indexed citations
18.
Sharma, Janak Raj & Himani Arora. (2013). An efficient derivative free iterative method for solving systems of nonlinear equations. Applicable Analysis and Discrete Mathematics. 7(2). 390–403. 28 indexed citations
19.
Sharma, Janak Raj & Himani Arora. (2013). On efficient weighted-Newton methods for solving systems of nonlinear equations. Applied Mathematics and Computation. 222. 497–506. 45 indexed citations
20.
Arora, Himani, et al.. (1993). Solution of non-integer order differential equations via the adomian decomposition method. Applied Mathematics Letters. 6(1). 21–23. 40 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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