Ransalu Senanayake
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Automotive Engineering top 10%
- Control and Systems Engineering top 10%
- Aerospace Engineering
- Co-authors
- Fábio RamosMykel J. KochenderferRavindra S. GoonetillekeSimon O’CallaghanLionel OttJeremy MortonAlex KueflerBlake Wulfe
- Topics
- Gaussian Processes and Bayesian Inference (9 papers)Autonomous Vehicle Technology and Safety (8 papers)Target Tracking and Data Fusion in Sensor Networks (5 papers)
- Partner nations
- United StatesAustraliaSri Lanka
In The Last Decade
Ransalu Senanayake
35 papers receiving 398 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 130
- Artificial Intelligence 121
- Automotive Engineering 110
- Control and Systems Engineering 93
- Aerospace Engineering 70
Countries citing papers authored by Ransalu Senanayake
This map shows the geographic impact of Ransalu Senanayake'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 Ransalu Senanayake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ransalu Senanayake more than expected).
Fields of papers citing papers by Ransalu Senanayake
This network shows the impact of papers produced by Ransalu Senanayake. 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 Ransalu Senanayake. The network helps show where Ransalu Senanayake may publish in the future.
Co-authorship network of co-authors of Ransalu Senanayake
This figure shows the co-authorship network connecting the top 25 collaborators of Ransalu Senanayake. A scholar is included among the top collaborators of Ransalu Senanayake 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 Ransalu Senanayake. Ransalu Senanayake 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 | 4 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 7 | |
| 7 | 80 | |
| 8 | 18 | |
| 9 | Black Box Quantiles for Kernel Learning | 2 |
| 10 | 11 | |
| 11 | 11 | |
| 12 | Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments | 8 |
| 13 | 3 | |
| 14 | Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping. | 25 |
| 15 | 12 | |
| 16 | Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments | 10 |
| 17 | 1 | |
| 18 | 11 | |
| 19 | 9 | |
| 20 | 3 |
About Ransalu Senanayake
Ransalu Senanayake is a scholar working on Human-Computer Interaction, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 423 indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (9 papers), Autonomous Vehicle Technology and Safety (8 papers) and Target Tracking and Data Fusion in Sensor Networks (5 papers). The work is most often cited by research in Automotive Engineering (110 citations), Human-Computer Interaction (41 citations) and Computer Vision and Pattern Recognition (130 citations). Ransalu Senanayake has collaborated with scholars based in United States, Australia and Sri Lanka. Frequent co-authors include Fábio Ramos, Mykel J. Kochenderfer, Ravindra S. Goonetilleke, Simon O’Callaghan, Lionel Ott, Jeremy Morton, Alex Kuefler, Blake Wulfe, S. Thiruvarudchelvan and Errol R. Hoffmann. Their work appears in journals such as Circulation, Experimental Brain Research and Journal of Materials Processing Technology.
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.