Sunethra Weerakoon

1.1k total citations · 1 hit paper
10 papers, 829 citations indexed

About

Sunethra Weerakoon is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Artificial Intelligence. According to data from OpenAlex, Sunethra Weerakoon has authored 10 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 7 papers in Numerical Analysis and 5 papers in Artificial Intelligence. Recurrent topics in Sunethra Weerakoon's work include Iterative Methods for Nonlinear Equations (7 papers), Advanced Optimization Algorithms Research (4 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Sunethra Weerakoon is often cited by papers focused on Iterative Methods for Nonlinear Equations (7 papers), Advanced Optimization Algorithms Research (4 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Sunethra Weerakoon collaborates with scholars based in Sri Lanka and Australia. Sunethra Weerakoon's co-authors include T.G.I. Fernando and has published in prestigious journals such as Applied Mathematics Letters, Swarm and Evolutionary Computation and International Journal of Mathematical Education in Science and Technology.

In The Last Decade

Sunethra Weerakoon

10 papers receiving 741 citations

Hit Papers

A variant of Newton's method with accelerated third-order... 2000 2026 2008 2017 2000 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunethra Weerakoon Sri Lanka 6 691 343 263 103 70 10 829
Taher Lotfi Iran 15 626 0.9× 312 0.9× 306 1.2× 51 0.5× 7 0.1× 64 755
Sonia Busquier Spain 21 1.3k 1.9× 652 1.9× 434 1.7× 243 2.4× 7 0.1× 71 1.4k
J.A. Ezquerro Spain 20 1.3k 1.8× 640 1.9× 504 1.9× 145 1.4× 7 0.1× 121 1.3k
Zanariah Abdul Majid Malaysia 13 457 0.7× 102 0.3× 270 1.0× 86 0.8× 21 0.3× 130 636
S.P. Qian China 12 251 0.4× 77 0.2× 209 0.8× 36 0.3× 92 1.3× 27 497
Hongjiong Tian China 14 389 0.6× 148 0.4× 140 0.5× 46 0.4× 17 0.2× 46 496
Alan Feldstein United States 14 319 0.5× 150 0.4× 156 0.6× 60 0.6× 27 0.4× 30 533
Saima Akram Pakistan 11 138 0.2× 57 0.2× 101 0.4× 55 0.5× 26 0.4× 36 352
Merrell L. Patrick United States 9 243 0.4× 189 0.6× 34 0.1× 79 0.8× 6 0.1× 29 414
H. Saberi Najafi Iran 15 258 0.4× 249 0.7× 184 0.7× 25 0.2× 29 0.4× 68 580

Countries citing papers authored by Sunethra Weerakoon

Since Specialization
Citations

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

Fields of papers citing papers by Sunethra Weerakoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunethra Weerakoon

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

All Works

10 of 10 papers shown
1.
Weerakoon, Sunethra, et al.. (2020). A self-tuning algorithm to approximate roots of systems of nonlinear equations based on the firefly algorithm. 5(1). 60–60. 1 indexed citations
2.
Fernando, T.G.I., et al.. (2019). Solving systems of nonlinear equations using a modified firefly algorithm (MODFA). Swarm and Evolutionary Computation. 48. 72–92. 45 indexed citations
3.
Weerakoon, Sunethra, et al.. (2018). A self-tuning firefly algorithm to tune the parameters of ant colony system. 3(4). 309–309. 4 indexed citations
4.
Weerakoon, Sunethra, et al.. (2018). Weerakoon-Fernando Method with accelerated third-order convergence for systems of nonlinear equations. International Journal of Mathematical Modelling and Numerical Optimisation. 8(3). 287–287. 4 indexed citations
5.
Fernando, T.G.I., et al.. (2018). A self-tuning firefly algorithm to tune the parameters of ant colony system. 3(4). 309–309. 3 indexed citations
6.
Weerakoon, Sunethra, et al.. (2017). Weerakoon-Fernando Method with accelerated third-order convergence for systems of nonlinear equations. International Journal of Mathematical Modelling and Numerical Optimisation. 8(3). 287–287. 6 indexed citations
7.
Fernando, T.G.I., et al.. (2016). A self-tuning modified firefly algorithm to solve univariate nonlinear equations with complex roots. 1477–1484. 6 indexed citations
8.
Fernando, T.G.I., et al.. (2015). A modified firefly algorithm to solve univariate nonlinear equations with complex roots. 160–167. 6 indexed citations
9.
Weerakoon, Sunethra & T.G.I. Fernando. (2000). A variant of Newton's method with accelerated third-order convergence. Applied Mathematics Letters. 13(8). 87–93. 652 indexed citations breakdown →
10.
Weerakoon, Sunethra. (1994). Application of Sumudu transform to partial differential equations. International Journal of Mathematical Education in Science and Technology. 25(2). 277–283. 102 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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