Thilina Rathnayake

2.1k total citations · 1 hit paper
6 papers, 156 citations indexed

About

Thilina Rathnayake is a scholar working on Computational Mechanics, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Thilina Rathnayake has authored 6 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Mechanics, 4 papers in Hardware and Architecture and 2 papers in Computer Networks and Communications. Recurrent topics in Thilina Rathnayake's work include Parallel Computing and Optimization Techniques (4 papers), Advanced Numerical Methods in Computational Mathematics (3 papers) and Computational Fluid Dynamics and Aerodynamics (2 papers). Thilina Rathnayake is often cited by papers focused on Parallel Computing and Optimization Techniques (4 papers), Advanced Numerical Methods in Computational Mathematics (3 papers) and Computational Fluid Dynamics and Aerodynamics (2 papers). Thilina Rathnayake collaborates with scholars based in United States, Sri Lanka and Greece. Thilina Rathnayake's co-authors include Paul Fischer, Tim Warburton, Misun Min, Noel Chalmers, Stefan Kerkemeier, Elia Merzari, Ali Karakus, Ananias Tomboulides, Veselin Dobrev and Jed Brown and has published in prestigious journals such as Parallel Computing, The International Journal of High Performance Computing Applications and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

In The Last Decade

Thilina Rathnayake

5 papers receiving 151 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

NekRS, a GPU-accelerated spectral element Navier–Stokes solver

2022 101 citations Paul Fischer, Stefan Kerkemeier et al. Parallel Computing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thilina Rathnayake United States	4	99	48	25	20	16	6	156
Noel Chalmers United States	7	130 1.3×	52 1.1×	26 1.0×	12 0.6×	19 1.2×	18	192
Stefan Kerkemeier United States	7	221 2.2×	105 2.2×	18 0.7×	8 0.4×	19 1.2×	12	277
Bruce A. Perry United States	9	221 2.2×	86 1.8×	6 0.2×	7 0.3×	21 1.3×	22	298
J.S. Peery United States	6	141 1.4×	24 0.5×	15 0.6×	25 1.3×	3 0.2×	13	220
Satish Balay United States	7	42 0.4×	9 0.2×	43 1.7×	25 1.3×	17 1.1×	12	184
J. Jarrell United States	8	28 0.3×	66 1.4×	9 0.4×	17 0.8×	10 0.6×	18	137
Philipp Birken Germany	10	309 3.1×	25 0.5×	6 0.2×	43 2.1×	10 0.6×	49	365
Edward B. Parlette United States	11	382 3.9×	241 5.0×	18 0.7×	8 0.4×	33 2.1×	24	431
Z. J. Wang United States	5	270 2.7×	77 1.6×	3 0.1×	6 0.3×	11 0.7×	5	300
Richard Mills United States	4	25 0.3×	6 0.1×	23 0.9×	15 0.8×	2 0.1×	10	92

Countries citing papers authored by Thilina Rathnayake

Since Specialization

Citations

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

Fields of papers citing papers by Thilina Rathnayake

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thilina Rathnayake

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Min, Misun, et al.. (2025). Nek5000/RS performance on advanced GPU architectures. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2.

2.

Merzari, Elia, Steven Hamilton, Thomas Evans, et al.. (2023). Exascale Multiphysics Nuclear Reactor Simulations for Advanced Designs. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–11. 10 indexed citations

3.

Fischer, Paul, Stefan Kerkemeier, Misun Min, et al.. (2022). NekRS, a GPU-accelerated spectral element Navier–Stokes solver. Parallel Computing. 114. 102982–102982. 101 indexed citations breakdown →

4.

Min, Misun, Paul Fischer, Elia Merzari, et al.. (2022). Optimization of Full-Core Reactor Simulations on Summit. 1–11. 5 indexed citations

5.

Fischer, Paul, Misun Min, Thilina Rathnayake, et al.. (2020). Scalability of high-performance PDE solvers. The International Journal of High Performance Computing Applications. 34(5). 562–586. 38 indexed citations

6.

Rathnayake, Thilina, et al.. (2017). OpenFOAM on GPUs using AMGX. 13. 2 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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