Suren Jayasuriya
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Instrumentation top 10%
- Artificial Intelligence
- Media Technology top 5%
- Co-authors
- Adrian SampsonAlyosha MolnarJagpreet ChhatwalElamin H. ElbashaS. SivaramakrishnanAndreas SpaniasAshok VeeraraghavanNadia Kellam
- Topics
- Advanced Optical Sensing Technologies (10 papers)CCD and CMOS Imaging Sensors (10 papers)Advanced Vision and Imaging (9 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceProceedings of the IEEEOptics Letters
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Suren Jayasuriya
59 papers receiving 473 citations
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 189
- Electrical and Electronic Engineering 123
- Instrumentation 70
- Artificial Intelligence 66
- Media Technology 63
Countries citing papers authored by Suren Jayasuriya
This map shows the geographic impact of Suren Jayasuriya'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 Suren Jayasuriya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suren Jayasuriya more than expected).
Fields of papers citing papers by Suren Jayasuriya
This network shows the impact of papers produced by Suren Jayasuriya. 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 Suren Jayasuriya. The network helps show where Suren Jayasuriya may publish in the future.
Co-authorship network of co-authors of Suren Jayasuriya
This figure shows the co-authorship network connecting the top 25 collaborators of Suren Jayasuriya. A scholar is included among the top collaborators of Suren Jayasuriya 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 Suren Jayasuriya. Suren Jayasuriya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 13 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 9 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 8 | |
| 16 | 9 | |
| 17 | 12 | |
| 18 | Changing Cycle Lengths in State-Transition Models: Doing it the Right Way | 7 |
| 19 | CHANGING CYCLE LENGTHS IN DISCRETE-TIME MARKOV MODELS: CHALLENGES AND SOLUTIONS | 1 |
| 20 | 3 |
About Suren Jayasuriya
Suren Jayasuriya is a scholar working on Instrumentation, Acoustics and Ultrasonics and Media Technology, having authored 62 papers that have together received 490 indexed citations. Recurring topics across this work include Advanced Optical Sensing Technologies (10 papers), CCD and CMOS Imaging Sensors (10 papers) and Advanced Vision and Imaging (9 papers). The work is most often cited by research in Acoustics and Ultrasonics (19 citations), Instrumentation (70 citations) and Computer Vision and Pattern Recognition (189 citations). Suren Jayasuriya has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Adrian Sampson, Alyosha Molnar, Jagpreet Chhatwal, Elamin H. Elbasha, S. Sivaramakrishnan, Andreas Spanias, Ashok Veeraraghavan, Nadia Kellam, Daniel C. Brown and Takuya Funatomi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Optics Letters.
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.