K. S. P. Amaratunga
- Signal Processing top 5%
- Digital Filter Design and Implementation 13
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- Image and Signal Denoising Methods 12
- Advanced Data Compression Techniques 6
- Biotechnology top 10%
- Food Science top 10%
- Food Drying and Modeling 8
- Plant Science top 10%
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- Advanced Numerical Analysis Techniques 6
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- PAPR reduction in OFDM 4
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- Agriculture, Soil, Plant Science 3
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- Spectroscopy and Chemometric Analyses 3
- Co-authors
- Ying‐Jui ChenS. OraintaraZhongli PanJohn WilliamsJames F. ThompsonW. M. W. WeerakoonW. A. J. M. De CostaRagab Khir
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (1 paper)IEEE Transactions on Signal Processing (4 papers)
- Partner nations
- United StatesJapanSri Lanka
In The Last Decade
K. S. P. Amaratunga
41 papers receiving 566 citations
Peers
Comparison fields: 5 of 77
- Signal Processing 174
- Computer Vision and Pattern Recognition 219
- Biotechnology 71
- Food Science 138
- Plant Science 172
Countries citing papers authored by K. S. P. Amaratunga
This map shows the geographic impact of K. S. P. Amaratunga'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 K. S. P. Amaratunga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. S. P. Amaratunga more than expected).
Fields of papers citing papers by K. S. P. Amaratunga
This network shows the impact of papers produced by K. S. P. Amaratunga. 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 K. S. P. Amaratunga. The network helps show where K. S. P. Amaratunga may publish in the future.
Co-authorship network
The 25 scholars most cited alongside K. S. P. Amaratunga, 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 | 2023 | 7 | |
| 2 | 2022 | 4 | |
| 3 | 2020 | 0 | |
| 4 | 2020 | 2 | |
| 5 | 2015 | 1 | |
| 6 | 2005 | 11 | |
| 7 | 2005 | 28 | |
| 8 | 2005 | 2 | |
| 9 | 2005 | 59 | |
| 10 | 2004 | 2 | |
| 11 | 2004 | 4 | |
| 12 | 2002 | 10 | |
| 13 | 2000 | 12 | |
| 14 | 1996 | 2 | |
| 15 | 1996 | 4 | |
| 16 | 1995 | 2 | |
| 17 | 1994 | 1 | |
| 18 | 1994 | 0 | |
| 19 | Drying characteristics of potato, 1: Measurement of basic drying characteristics for the theoretical interpretation of frying under reduced pressure | 1994 | 0 |
| 20 | Moisture Adsorption Characteristics of Polished Rice Under Reduced Pressure conditions | 1994 | 1 |
About K. S. P. Amaratunga
K. S. P. Amaratunga is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Food Science, having authored 44 papers that have together received 606 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (13 papers), Image and Signal Denoising Methods (12 papers), Food Drying and Modeling (8 papers), Advanced Data Compression Techniques (6 papers), Advanced Numerical Analysis Techniques (6 papers), PAPR reduction in OFDM (4 papers), Agriculture, Soil, Plant Science (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). The work is most often cited by research in Signal Processing (174 citations), Computer Vision and Pattern Recognition (219 citations) and Biotechnology (71 citations). K. S. P. Amaratunga has collaborated with scholars based in United States, Japan and Sri Lanka. Frequent co-authors include Ying‐Jui Chen, S. Oraintara, Zhongli Pan, John Williams, James F. Thompson, W. M. W. Weerakoon, W. A. J. M. De Costa, Ragab Khir, Linda J. Harris and Tin Truong. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Signal Processing.
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.