Amila Silva
Impact in
- Information Systems top 5%
- Spam and Phishing Detection
- Sociology and Political Science top 10%
- Misinformation and Its Impacts
Papers in
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- Spam and Phishing Detection 4
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- Topic Modeling 2
- Text and Document Classification Technologies 2
- Co-authors
- Christopher Leckie (6 shared papers)Shanika Karunasekera (7 shared papers)Ling Luo (5 shared papers)Yi Han (2 shared papers)Wei Lu (1 shared paper)Denny Lie (1 shared paper)Hee Nee Pang (2 shared papers)Ling Luo (1 shared paper)
In The Last Decade
Amila Silva
13 papers receiving 273 citations
Peers
Comparison fields: 5 of 35
- Information Systems 170
- Sociology and Political Science 199
- Artificial Intelligence 125
- Signal Processing 39
- Statistical and Nonlinear Physics 40
Countries citing papers authored by Amila Silva
This map shows the geographic impact of Amila 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 Amila Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amila Silva more than expected).
Fields of papers citing papers by Amila Silva
This network shows the impact of papers produced by Amila 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 Amila Silva. The network helps show where Amila Silva may publish in the future.
Co-authors
The 19 scholars most cited alongside Amila 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 99 | |
| 2 | 2021 | 89 | |
| 3 | 2019 | 29 | |
| 4 | 2018 | 26 | |
| 5 | 2024 | 7 | |
| 6 | 2022 | 7 | |
| 7 | Embedding partial propagation network for fake news early detection | 2020 | 7 |
| 8 | 2016 | 5 | |
| 9 | 2019 | 2 | |
| 10 | 2021 | 2 | |
| 11 | 2019 | 2 | |
| 12 | 2020 | 1 | |
| 13 | 2000 | 1 | |
| 14 | 2019 | 0 | |
| 15 | 2020 | 0 |
About Amila Silva
Amila Silva is a scholar working on Information Systems, Artificial Intelligence, Sociology and Political Science, Surgery and Computer Networks and Communications, having authored 15 papers that have together received 277 indexed citations. Recurring topics across this work include Spam and Phishing Detection (4 papers), Misinformation and Its Impacts (4 papers), Topic Modeling (2 papers), Total Knee Arthroplasty Outcomes (2 papers), Text and Document Classification Technologies (2 papers), Orthopedic Infections and Treatments (2 papers), Advanced Malware Detection Techniques (2 papers) and Bone and Joint Diseases (1 paper). The work is most often cited by research in Information Systems (170 citations), Sociology and Political Science (199 citations), Artificial Intelligence (125 citations), Signal Processing (39 citations) and Statistical and Nonlinear Physics (40 citations). Amila Silva has collaborated with scholars based in Singapore, Australia and Japan. Frequent co-authors include Christopher Leckie, Shanika Karunasekera, Ling Luo, Yi Han, Wei Lu, Denny Lie, Hee Nee Pang, Ling Luo, Kevin Koo and Pak Lin Chin. Their work appears in journals such as Information Processing & Management, IEEE Transactions on Knowledge and Data Engineering, Clinics in Orthopedic Surgery, The Journal of Knee Surgery and Transportation Research Record Journal of the Transportation Research Board.
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.