Upaka Rathnayake
- Global and Planetary Change top 2%
- Environmental Engineering top 1%
- Water Science and Technology top 1%
- Civil and Structural Engineering top 5%
- Artificial Intelligence top 5%
- Co-authors
- D.P.P. MeddageI.U. EkanayakeMiyuru B. GunathilakeHazi Mohammad AzamathullaYukinobu HoshinoNamal RathnayakeNitin MuttilJeevani Jayasinghe
- Topics
- Hydrology and Watershed Management Studies (57 papers)Flood Risk Assessment and Management (52 papers)Hydrological Forecasting Using AI (30 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
In The Last Decade
Upaka Rathnayake
193 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Global and Planetary Change 903
- Environmental Engineering 866
- Water Science and Technology 854
- Civil and Structural Engineering 391
- Artificial Intelligence 268
Countries citing papers authored by Upaka Rathnayake
This map shows the geographic impact of Upaka 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 Upaka Rathnayake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Upaka Rathnayake more than expected).
Fields of papers citing papers by Upaka Rathnayake
This network shows the impact of papers produced by Upaka 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 Upaka Rathnayake. The network helps show where Upaka Rathnayake may publish in the future.
Co-authorship network of co-authors of Upaka Rathnayake
This figure shows the co-authorship network connecting the top 25 collaborators of Upaka Rathnayake. A scholar is included among the top collaborators of Upaka 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 Upaka Rathnayake. Upaka Rathnayake is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 33 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | 21 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 0 | |
| 18 | 20 | |
| 19 | 5 | |
| 20 | 19 |
About Upaka Rathnayake
Upaka Rathnayake is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change, having authored 222 papers that have together received 2.9k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (57 papers), Flood Risk Assessment and Management (52 papers) and Hydrological Forecasting Using AI (30 papers). The work is most often cited by research in Water Science and Technology (854 citations), Environmental Engineering (866 citations) and Global and Planetary Change (903 citations). Upaka Rathnayake has collaborated with scholars based in Sri Lanka, Ireland and Australia. Frequent co-authors include D.P.P. Meddage, I.U. Ekanayake, Miyuru B. Gunathilake, Hazi Mohammad Azamathulla, Yukinobu Hoshino, Namal Rathnayake, Nitin Muttil, Jeevani Jayasinghe, Tiku T. Tanyimboh and Tuan Linh Dang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.