Ramandeep Behl

958 citations
118 papers · 688 indexed · h-index 15
Topics
Iterative Methods for Nonlinear Equations (112 papers)Advanced Optimization Algorithms Research (107 papers)Matrix Theory and Algorithms (50 papers)

In The Last Decade

Ramandeep Behl

105 papers receiving 656 citations

Peers

Ramandeep Behl
Comparison fields: 5 of 28
  • Numerical Analysis 626
  • Computational Theory and Mathematics 342
  • Modeling and Simulation 198
  • Computational Mechanics 98
  • Education 46
Replace V. Kanwar with:
V. Kanwar India
Saïd Hilout France
Young Hee Geum South Korea
Francisco I. Chicharro Spain
Young Ik Kim South Korea
Jovana Džunić Serbia
F. Khaksar Haghani Iran
Richard F. King United States
D.K.R. Babajee Mauritius
Ahmet Yaşar Özban Türkiye
Ramandeep Behl relative to V. Kanwar India V. Kanwar's profile →
Citations per field
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V. Kanwar · 1×
Citations per year

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
#WorkIndexed citations
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2 5
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7 12
8 2
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10 23
11 28
12 6
13 18
14 15
15
Efficient family of sixth-order iterative methods for nonlinear models which require only one inverse Jacobian matrix
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16 11
17 19
18 2
19 15
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About Ramandeep Behl

Ramandeep Behl is a scholar working on Numerical Analysis, Modeling and Simulation and Computational Theory and Mathematics, having authored 118 papers that have together received 688 indexed citations. Recurring topics across this work include Iterative Methods for Nonlinear Equations (112 papers), Advanced Optimization Algorithms Research (107 papers) and Matrix Theory and Algorithms (50 papers). The work is most often cited by research in Numerical Analysis (626 citations), Modeling and Simulation (198 citations) and Computational Theory and Mathematics (342 citations). Ramandeep Behl has collaborated with scholars based in Saudi Arabia, India and United States. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Mathematics and Computation and Computers & Mathematics with Applications.

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