Amal Shehan Perera
- Signal Processing top 10%
- Data Management and Algorithms 7
- Artificial Intelligence top 10%
- Topic Modeling 9
- Natural Language Processing Techniques 7
- Advanced Text Analysis Techniques 7
- Data Stream Mining Techniques 5
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- Data Mining Algorithms and Applications 10
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- Artificial Intelligence in Law 8
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- Traffic Prediction and Management Techniques 5
- Co-authors
- Nisansa de SilvaDulani MeedeniyaWilliam PerrizoDamminda AlahakoonAnne DentonRashmika NawaratneChandi WitharanaDaswin De Silva
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Access (1 paper)International Journal of Remote Sensing (1 paper)
- Partner nations
- Sri LankaUnited StatesAustralia
In The Last Decade
Amal Shehan Perera
57 papers receiving 260 citations
Peers
Comparison fields: 5 of 68
- Signal Processing 51
- Artificial Intelligence 109
- Ocean Engineering 36
- Computer Vision and Pattern Recognition 45
- Health Information Management 9
Countries citing papers authored by Amal Shehan Perera
This map shows the geographic impact of Amal Shehan 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 Amal Shehan Perera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amal Shehan Perera more than expected).
Fields of papers citing papers by Amal Shehan Perera
This network shows the impact of papers produced by Amal Shehan 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 Amal Shehan Perera. The network helps show where Amal Shehan Perera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amal Shehan Perera, 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 | 2024 | 6 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 4 | |
| 8 | 2020 | 6 | |
| 9 | 2020 | 6 | |
| 10 | 2013 | 34 | |
| 11 | Experimental Study on Item-based P-Tree Collaborative Filtering Algorithm for Netflix. | 2009 | 2 |
| 12 | Gene Function Prediction. | 2009 | 4 |
| 13 | A Comparative Study on Data Representation to Categorize Text Documents. | 2008 | 5 |
| 14 | Parameter Optimized, Vertical, Nearest-Neighbor-Vote and Boundary-Based Classification. | 2007 | 1 |
| 15 | Vertical K-Median Clustering. | 2006 | 0 |
| 16 | Vertical Set Square Distance Based Clustering without Prior Knowledge of K. | 2005 | 3 |
| 17 | An Api for Transparent Distributed Vertical Data Mining. | 2005 | 1 |
| 18 | Multi-Layered Framework for Distributed Data Mining. | 2004 | 3 |
| 19 | Genetic Algorithm to Improve a Solution for a General Assignment Problem. | 2003 | 3 |
| 20 | Performance Improvement for Bayesian Classification on Spatial Data with P-Trees. | 2002 | 1 |
About Amal Shehan Perera
Amal Shehan Perera is a scholar working on Artificial Intelligence, Signal Processing and Computer Science Applications, having authored 62 papers that have together received 280 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (10 papers), Topic Modeling (9 papers), Artificial Intelligence in Law (8 papers), Natural Language Processing Techniques (7 papers), Data Management and Algorithms (7 papers), Advanced Text Analysis Techniques (7 papers), Traffic Prediction and Management Techniques (5 papers) and Data Stream Mining Techniques (5 papers). The work is most often cited by research in Signal Processing (51 citations), Artificial Intelligence (109 citations) and Ocean Engineering (36 citations). Amal Shehan Perera has collaborated with scholars based in Sri Lanka, United States and Australia. Frequent co-authors include Nisansa de Silva, Dulani Meedeniya, William Perrizo, Damminda Alahakoon, Anne Denton, Rashmika Nawaratne, Chandi Witharana, Daswin De Silva, Anna Liljedahl and Gayashan Amarasinghe. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and International Journal of Remote Sensing.
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.