A. W. Jayawardena
- Water Science and Technology top 0.5%
- Hydrology and Watershed Management Studies 30
- Environmental Engineering top 0.5%
- Hydrological Forecasting Using AI 23
- Global and Planetary Change top 2%
- Flood Risk Assessment and Management 9
- Hydrology and Drought Analysis 7
- Soil Science top 5%
- Soil erosion and sediment transport 6
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- Chaos control and synchronization 8
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- Neural Networks and Applications 13
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- Complex Systems and Time Series Analysis 8
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
- Soil Science 234
- Statistical and Nonlinear Physics 186
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
The 25 scholars most cited alongside A. W. Jayawardena, 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 | 2019 | 15 | |
| 2 | 2019 | 1 | |
| 3 | 2019 | 52 | |
| 4 | 2014 | 16 | |
| 5 | Challenges for sustainable water management | 2012 | 1 |
| 6 | 2010 | 8 | |
| 7 | 2008 | 37 | |
| 8 | Radial basis function network for prediction of hydrological time series | 2003 | 1 |
| 9 | 2002 | 248 | |
| 10 | 2002 | 4 | |
| 11 | River flow prediction: an artificial neural network approach | 2001 | 6 |
| 12 | Proceedings of the Seventh International Symposium on River Sedimentation | 1999 | 20 |
| 13 | 1998 | 171 | |
| 14 | 1998 | 1 | |
| 15 | Genetic Algorithm Approach of Parameter Optimization for the Moisture and Contaminant Transport Problem in Partially Saturated Porous Media | 1997 | 1 |
| 16 | Runoff forecasting using a local approximation method | 1996 | 0 |
| 17 | Generation and forecasting of monsoon rainfall data | 1994 | 17 |
| 18 | 1994 | 183 | |
| 19 | 1983 | 2 | |
| 20 | 1975 | 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), Neural Networks and Applications (13 papers), Flood Risk Assessment and Management (9 papers), Complex Systems and Time Series Analysis (8 papers), Chaos control and synchronization (8 papers), Hydrology and Drought Analysis (7 papers) and Soil erosion and sediment transport (6 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.