A. W. Jayawardena
- Water Science and Technology top 0.5%
- Environmental Engineering top 0.5%
- Global and Planetary Change top 2%
- Artificial Intelligence top 5%
- Atmospheric Science top 5%
- Co-authors
- Bellie SivakumarT.M.K.G. FernandoRanjan SarukkaligeR. B. RezaurShulei ZhangDawen YangHanbo YangJoseph H.W. Lee
- Topics
- Hydrology and Watershed Management Studies (30 papers)Hydrological Forecasting Using AI (23 papers)Neural Networks and Applications (13 papers)
In The Last Decade
A. W. Jayawardena
67 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 113
- Water Science and Technology 1.2k
- Environmental Engineering 1.1k
- Global and Planetary Change 1.0k
- Artificial Intelligence 303
- Atmospheric Science 267
Countries citing papers authored by A. W. Jayawardena
This map shows the geographic impact of A. W. Jayawardena'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 A. W. Jayawardena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. W. Jayawardena more than expected).
Fields of papers citing papers by A. W. Jayawardena
This network shows the impact of papers produced by A. W. Jayawardena. 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 A. W. Jayawardena. The network helps show where A. W. Jayawardena may publish in the future.
Co-authorship network of co-authors of A. W. Jayawardena
This figure shows the co-authorship network connecting the top 25 collaborators of A. W. Jayawardena. A scholar is included among the top collaborators of A. W. Jayawardena 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 A. W. Jayawardena. A. W. Jayawardena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 1 | |
| 3 | 52 | |
| 4 | 16 | |
| 5 | Challenges for sustainable water management | 1 |
| 6 | 8 | |
| 7 | 37 | |
| 8 | Radial basis function network for prediction of hydrological time series | 1 |
| 9 | 248 | |
| 10 | 4 | |
| 11 | River flow prediction: an artificial neural network approach | 6 |
| 12 | Proceedings of the Seventh International Symposium on River Sedimentation | 20 |
| 13 | 171 | |
| 14 | 1 | |
| 15 | Genetic Algorithm Approach of Parameter Optimization for the Moisture and Contaminant Transport Problem in Partially Saturated Porous Media | 1 |
| 16 | Runoff forecasting using a local approximation method | 0 |
| 17 | Generation and forecasting of monsoon rainfall data | 17 |
| 18 | 183 | |
| 19 | 2 | |
| 20 | 1 |
About A. W. Jayawardena
A. W. Jayawardena is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change, having authored 70 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (30 papers), Hydrological Forecasting Using AI (23 papers) and Neural Networks and Applications (13 papers). The work is most often cited by research in Water Science and Technology (1.2k citations), Environmental Engineering (1.1k citations) and Global and Planetary Change (1.0k citations). A. W. Jayawardena has collaborated with scholars based in Hong Kong, Japan and China. Frequent co-authors include Bellie Sivakumar, T.M.K.G. Fernando, Ranjan Sarukkalige, R. B. Rezaur, Shulei Zhang, Dawen Yang, Hanbo Yang, Joseph H.W. Lee, Yan Yan Shery Huang and Mike Dickman. Their work appears in journals such as Geophysical Research Letters, Journal of Hydrology and Agricultural and Forest Meteorology.
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.