Asanka G. Perera
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Aerospace Engineering top 10%
- Artificial Intelligence
- Cardiology and Cardiovascular Medicine
- Co-authors
- Javaan ChahlAli Al‐NajiYee Wei LawSaleem Latteef MohammedKim GibsonRavinesh C. DeoSreenatha G. AnavattiMatthew Garratt
- Topics
- Non-Invasive Vital Sign Monitoring (7 papers)Human Pose and Action Recognition (5 papers)Video Surveillance and Tracking Methods (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
In The Last Decade
Asanka G. Perera
30 papers receiving 459 citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 192
- Biomedical Engineering 150
- Aerospace Engineering 105
- Artificial Intelligence 66
- Cardiology and Cardiovascular Medicine 63
Countries citing papers authored by Asanka G. Perera
This map shows the geographic impact of Asanka G. Perera'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 Asanka G. Perera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asanka G. Perera more than expected).
Fields of papers citing papers by Asanka G. Perera
This network shows the impact of papers produced by Asanka G. Perera. 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 Asanka G. Perera. The network helps show where Asanka G. Perera may publish in the future.
Co-authorship network of co-authors of Asanka G. Perera
This figure shows the co-authorship network connecting the top 25 collaborators of Asanka G. Perera. A scholar is included among the top collaborators of Asanka G. Perera 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 Asanka G. Perera. Asanka G. Perera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 14 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 8 | |
| 17 | 13 | |
| 18 | 1 | |
| 19 | 63 | |
| 20 | 0 |
About Asanka G. Perera
Asanka G. Perera is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Graphics and Computer-Aided Design, having authored 38 papers that have together received 477 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (7 papers), Human Pose and Action Recognition (5 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (192 citations), Management Information Systems (38 citations) and Aerospace Engineering (105 citations). Asanka G. Perera has collaborated with scholars based in Australia, Iraq and Sri Lanka. Frequent co-authors include Javaan Chahl, Ali Al‐Naji, Yee Wei Law, Saleem Latteef Mohammed, Kim Gibson, Ravinesh C. Deo, Sreenatha G. Anavatti, Matthew Garratt, Vu Phi Tran and Kathryn Kasmarik. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.