Damitha K. Ranaweera
- Electrical and Electronic Engineering top 10%
- Management Science and Operations Research top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Co-authors
- G.G. KaradyRichard G. FarmerN.F. Hubele
- Topics
- Energy Load and Power Forecasting (4 papers)Power Systems and Technologies (3 papers)Neural Networks and Applications (3 papers)
- Cited by
- Management Science and Operations ResearchElectrical and Electronic EngineeringEnergy Engineering and Power Technology
- Journals
- IEEE Transactions on Power SystemsInternational Journal of Electrical Power & Energy SystemsElectric Power Systems Research
- Partner nations
- United States
In The Last Decade
Damitha K. Ranaweera
9 papers receiving 346 citations
Peers
Comparison fields: 5 of 55
- Electrical and Electronic Engineering 324
- Management Science and Operations Research 122
- Artificial Intelligence 107
- Computer Vision and Pattern Recognition 66
- Control and Systems Engineering 64
Countries citing papers authored by Damitha K. Ranaweera
This map shows the geographic impact of Damitha K. Ranaweera'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 Damitha K. Ranaweera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damitha K. Ranaweera more than expected).
Fields of papers citing papers by Damitha K. Ranaweera
This network shows the impact of papers produced by Damitha K. Ranaweera. 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 Damitha K. Ranaweera. The network helps show where Damitha K. Ranaweera may publish in the future.
Co-authorship network of co-authors of Damitha K. Ranaweera
This figure shows the co-authorship network connecting the top 25 collaborators of Damitha K. Ranaweera. A scholar is included among the top collaborators of Damitha K. Ranaweera 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 Damitha K. Ranaweera. Damitha K. Ranaweera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 120 | |
| 2 | 37 | |
| 3 | 71 | |
| 4 | 110 | |
| 5 | A probabilistic approach to handle uncertainties in load forecasting | 2 |
| 6 | Active power contingency ranking using a radial basis function network | 10 |
| 7 | 28 | |
| 8 | 1 | |
| 9 | 2 |
About Damitha K. Ranaweera
Damitha K. Ranaweera is a scholar working on Ecological Modeling, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 9 papers that have together received 381 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (4 papers), Power Systems and Technologies (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Management Science and Operations Research (122 citations), Electrical and Electronic Engineering (324 citations) and Energy Engineering and Power Technology (13 citations). Damitha K. Ranaweera has collaborated with scholars based in United States. Frequent co-authors include G.G. Karady, Richard G. Farmer and N.F. Hubele. Their work appears in journals such as IEEE Transactions on Power Systems, International Journal of Electrical Power & Energy Systems and Electric Power Systems Research.
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.