Thilina Rathnayake
- Computational Mechanics top 10%
- Advanced Numerical Methods in Computational Mathematics 3
- Computational Fluid Dynamics and Aerodynamics 2
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- Parallel Computing and Optimization Techniques 4
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- Nuclear Engineering Thermal-Hydraulics 2
- Nuclear reactor physics and engineering 2
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- Advanced Data Storage Technologies 2
- Distributed and Parallel Computing Systems 1
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- Nuclear Materials and Properties 1
- Co-authors
- Paul FischerTim WarburtonMisun MinStefan KerkemeierNoel ChalmersElia MerzariAnanias TomboulidesAli Karakus
- Journals
- Parallel Computing (1 paper)The International Journal of High Performance Computing Applications (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (2 papers)
- Partner nations
- United StatesSri LankaGermany
In The Last Decade
Thilina Rathnayake
5 papers receiving 151 citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Computational Mechanics 99
- Hardware and Architecture 25
- Aerospace Engineering 48
- Computer Graphics and Computer-Aided Design 6
- Computational Mathematics 1
Countries citing papers authored by Thilina Rathnayake
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
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
The 21 scholars most cited alongside Thilina Rathnayake, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 10 | |
| 3 | 2022 | 5 | |
| 4 | NekRS, a GPU-accelerated spectral element Navier–Stokes solverbreakdown → | 2022 | 101 |
| 5 | 2020 | 38 | |
| 6 | 2017 | 2 |
About Thilina Rathnayake
Thilina Rathnayake is a scholar working on Hardware and Architecture, Computational Mechanics, Computer Networks and Communications, Aerospace Engineering and Materials Chemistry, having authored 6 papers that have together received 156 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Nuclear Engineering Thermal-Hydraulics (2 papers), Computational Fluid Dynamics and Aerodynamics (2 papers), Nuclear reactor physics and engineering (2 papers), Advanced Data Storage Technologies (2 papers), Distributed and Parallel Computing Systems (1 paper) and Nuclear Materials and Properties (1 paper). The work is most often cited by research in Computational Mechanics (99 citations), Hardware and Architecture (25 citations), Aerospace Engineering (48 citations), Computer Graphics and Computer-Aided Design (6 citations) and Computational Mathematics (1 citation). Thilina Rathnayake has collaborated with scholars based in United States, Sri Lanka and Germany. Frequent co-authors include Paul Fischer, Tim Warburton, Misun Min, Stefan Kerkemeier, Noel Chalmers, Elia Merzari, Ananias Tomboulides, Ali Karakus, Som Dutta and Tzanio Kolev. Their work appears in 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).
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.