Sameera Palipana
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
- Signal Processing top 10%
- Speech and Audio Processing
Papers in
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- Hand Gesture Recognition Systems 3
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- Speech and Audio Processing 4
- Direction-of-Arrival Estimation Techniques 2
- Co-authors
- Dirk PeschPiyush AgrawalStephan SiggLuis A. LeivaGian Pietro PiccoPetar PopovskiTom MichoelCarmelita Göerg
- Journals
- IEEE Access (2 papers)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2 papers)Ad Hoc Networks (1 paper)IEEE Transactions on Mobile Computing (1 paper)Institutional Research Information System (Università degli Studi di Trento) (1 paper)
In The Last Decade
Sameera Palipana
13 papers receiving 545 citations
Peers
Comparison fields: 5 of 48
- Human-Computer Interaction 96
- Signal Processing 96
- Computer Vision and Pattern Recognition 157
- Computer Networks and Communications 156
- Electrical and Electronic Engineering 377
Countries citing papers authored by Sameera Palipana
This map shows the geographic impact of Sameera Palipana'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 Sameera Palipana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameera Palipana more than expected).
Fields of papers citing papers by Sameera Palipana
This network shows the impact of papers produced by Sameera Palipana. 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 Sameera Palipana. The network helps show where Sameera Palipana may publish in the future.
Co-authors
The 10 scholars most cited alongside Sameera Palipana, 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 | 2022 | 53 | |
| 2 | 2021 | 111 | |
| 3 | 2020 | 17 | |
| 4 | 2020 | 10 | |
| 5 | 2020 | 1 | |
| 6 | 2019 | 51 | |
| 7 | 2019 | 0 | |
| 8 | 2019 | 2 | |
| 9 | 2018 | 195 | |
| 10 | 2018 | 2 | |
| 11 | 2017 | 56 | |
| 12 | 2016 | 36 | |
| 13 | 2013 | 20 | |
| 14 | 2012 | 6 |
About Sameera Palipana
Sameera Palipana is a scholar working on Human-Computer Interaction, Signal Processing, Electrical and Electronic Engineering, Computer Networks and Communications and Biomedical Engineering, having authored 14 papers that have together received 560 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (11 papers), Speech and Audio Processing (4 papers), Millimeter-Wave Propagation and Modeling (3 papers), Gait Recognition and Analysis (3 papers), Hand Gesture Recognition Systems (3 papers), Direction-of-Arrival Estimation Techniques (2 papers), Power Line Communications and Noise (1 paper) and Bluetooth and Wireless Communication Technologies (1 paper). The work is most often cited by research in Human-Computer Interaction (96 citations), Signal Processing (96 citations), Computer Vision and Pattern Recognition (157 citations), Computer Networks and Communications (156 citations) and Electrical and Electronic Engineering (377 citations). Sameera Palipana has collaborated with scholars based in Finland, Ireland and Denmark. Frequent co-authors include Dirk Pesch, Piyush Agrawal, Stephan Sigg, Luis A. Leiva, Gian Pietro Picco, Petar Popovski, Tom Michoel, Carmelita Göerg, David G. Michelson and S. R. Munasinghe. Their work appears in journals such as IEEE Access, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Ad Hoc Networks, IEEE Transactions on Mobile Computing and Institutional Research Information System (Università degli Studi di Trento).
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.