Daswin De Silva
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 1%
- Anomaly Detection Techniques and Applications
Papers in
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- Anomaly Detection Techniques and Applications 11
- Topic Modeling 7
- Sentiment Analysis and Opinion Mining 7
- Neural Networks and Applications 7
- Data Stream Mining Techniques 6
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- Smart Grid Energy Management 12
- Energy Load and Power Forecasting 11
- Co-authors
- Damminda Alahakoon (85 shared papers)Rashmika Nawaratne (24 shared papers)Xinghuo Yu (15 shared papers)Achini Adikari (22 shared papers)Tharindu Bandaragoda (13 shared papers)Nishan Mills (28 shared papers)Dinithi Nallaperuma (6 shared papers)Thimal Kempitiya (7 shared papers)
- Journals
- Energies (5 papers)IEEE Transactions on Industrial Informatics (4 papers)Future Generation Computer Systems (4 papers)Sensors (3 papers)Applied Sciences (3 papers)
- Partner nations
- AustraliaUnited StatesSweden
In The Last Decade
Daswin De Silva
110 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 151
- Health Informatics 118
- Artificial Intelligence 836
- Applied Psychology 94
- Computer Vision and Pattern Recognition 317
- Signal Processing 149
Countries citing papers authored by Daswin De Silva
This map shows the geographic impact of Daswin De Silva'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 Daswin De Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daswin De Silva more than expected).
Fields of papers citing papers by Daswin De Silva
This network shows the impact of papers produced by Daswin De Silva. 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 Daswin De Silva. The network helps show where Daswin De Silva may publish in the future.
Co-authors
The 25 scholars most cited alongside Daswin De Silva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 229 | |
| 2 | 2019 | 199 | |
| 3 | 2020 | 88 | |
| 4 | 2022 | 85 | |
| 5 | 2011 | 72 | |
| 6 | 2022 | 65 | |
| 7 | 2020 | 62 | |
| 8 | 2020 | 55 | |
| 9 | 2018 | 54 | |
| 10 | 2021 | 45 | |
| 11 | 2018 | 42 | |
| 12 | 2021 | 41 | |
| 13 | 2019 | 40 | |
| 14 | 2021 | 39 | |
| 15 | 2018 | 38 | |
| 16 | 2020 | 38 | |
| 17 | 2022 | 35 | |
| 18 | 2020 | 32 | |
| 19 | 2010 | 30 | |
| 20 | 2019 | 29 |
About Daswin De Silva
Daswin De Silva is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 121 papers that have together received 2.2k indexed citations. Recurring topics across this work include Smart Grid Energy Management (12 papers), Energy Load and Power Forecasting (11 papers), Anomaly Detection Techniques and Applications (11 papers), Mental Health via Writing (10 papers), Topic Modeling (7 papers), Sentiment Analysis and Opinion Mining (7 papers), Neural Networks and Applications (7 papers) and Data Stream Mining Techniques (6 papers). The work is most often cited by research in Health Informatics (118 citations), Artificial Intelligence (836 citations), Applied Psychology (94 citations), Computer Vision and Pattern Recognition (317 citations) and Signal Processing (149 citations). Daswin De Silva has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Damminda Alahakoon, Rashmika Nawaratne, Xinghuo Yu, Achini Adikari, Tharindu Bandaragoda, Nishan Mills, Dinithi Nallaperuma, Thimal Kempitiya, Weranja Ranasinghe and Su Nguyen. Their work appears in journals such as Energies, IEEE Transactions on Industrial Informatics, Future Generation Computer Systems, Sensors and Applied Sciences.
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.