Ransalu Senanayake

2.7k total citations
37 papers, 423 citations indexed

About

Ransalu Senanayake is a scholar working on Artificial Intelligence, Automotive Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ransalu Senanayake has authored 37 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Automotive Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ransalu Senanayake's 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). Ransalu Senanayake is often cited by papers focused on 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). Ransalu Senanayake collaborates with scholars based in United States, Australia and United Kingdom. Ransalu Senanayake's co-authors include Fábio Ramos, Mykel J. Kochenderfer, Ravindra S. Goonetilleke, Simon O’Callaghan, Lionel Ott, Alex Kuefler, Blake Wulfe, Jeremy Morton, S. Thiruvarudchelvan and Errol R. Hoffmann and has published in prestigious journals such as Circulation, Experimental Brain Research and Journal of Materials Processing Technology.

In The Last Decade

Ransalu Senanayake

35 papers receiving 398 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ransalu Senanayake United States 12 130 121 110 93 70 37 423
Enrique Santiso Spain 12 127 1.0× 56 0.5× 28 0.3× 102 1.1× 94 1.3× 40 414
Xiaolei Hou China 11 125 1.0× 53 0.4× 44 0.4× 111 1.2× 141 2.0× 50 422
Ahmet Buğra Koku Türkiye 11 138 1.1× 40 0.3× 66 0.6× 194 2.1× 94 1.3× 58 470
Francesco Setti Italy 13 314 2.4× 172 1.4× 88 0.8× 64 0.7× 31 0.4× 49 536
Andrew Best United States 13 195 1.5× 76 0.6× 136 1.2× 154 1.7× 36 0.5× 34 489
C. Laugier France 10 252 1.9× 67 0.6× 47 0.4× 145 1.6× 76 1.1× 25 461
Krister Wolff Sweden 10 56 0.4× 130 1.1× 256 2.3× 184 2.0× 32 0.5× 23 501
Mauro Bellone Estonia 12 296 2.3× 50 0.4× 247 2.2× 69 0.7× 162 2.3× 37 605
Eugen Solowjow Germany 11 103 0.8× 150 1.2× 66 0.6× 298 3.2× 65 0.9× 28 563
Nenad S. Jovicic Serbia 7 118 0.9× 65 0.5× 124 1.1× 60 0.6× 64 0.9× 12 374

Countries citing papers authored by Ransalu Senanayake

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Senanayake, Ransalu, et al.. (2025). BaTCAVe: Trustworthy Explanations for Robot Behaviors. 13867–13874.
2.
Senanayake, Ransalu, et al.. (2024). A Machine Learning Model for Week-Ahead Hypoglycemia Prediction From Continuous Glucose Monitoring Data. Journal of Diabetes Science and Technology. 19(5). 1353–1361. 4 indexed citations
3.
4.
Senanayake, Ransalu, et al.. (2023). Model Predictive Optimized Path Integral Strategies. 3182–3188. 11 indexed citations
5.
Zaharieva, Dessi P., Ransalu Senanayake, Priya Prahalad, et al.. (2023). Adding glycemic and physical activity metrics to a multimodal algorithm-enabled decision-support tool for type 1 diabetes care: Keys to implementation and opportunities. Frontiers in Endocrinology. 13. 1096325–1096325. 4 indexed citations
6.
Wulfe, Blake, et al.. (2022). Modeling Human Driving Behavior Through Generative Adversarial Imitation Learning. IEEE Transactions on Intelligent Transportation Systems. 24(3). 2874–2887. 80 indexed citations
7.
Senanayake, Ransalu, et al.. (2021). A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling Through Particle Filtering. IEEE Transactions on Intelligent Transportation Systems. 23(8). 13055–13068. 18 indexed citations
8.
Senanayake, Ransalu, et al.. (2019). Black Box Quantiles for Kernel Learning. International Conference on Artificial Intelligence and Statistics. 1427–1437. 2 indexed citations
9.
Lilienthal, Achim J., Tomáš Krajník, Ransalu Senanayake, et al.. (2019). Time-varying Pedestrian Flow Models for Service Robots. Örebro University Library (Örebro University). 1–7. 11 indexed citations
10.
Senanayake, Ransalu, et al.. (2018). Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments. 443–455. 8 indexed citations
11.
Senanayake, Ransalu & Fábio Ramos. (2018). Building Continuous Occupancy Maps With Moving Robots. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 3 indexed citations
12.
Senanayake, Ransalu & Fábio Ramos. (2017). Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping.. 458–471. 25 indexed citations
13.
Senanayake, Ransalu, Simon O’Callaghan, & Fábio Ramos. (2017). Learning highly dynamic environments with stochastic variational inference. 2532–2539. 12 indexed citations
14.
Senanayake, Ransalu, Lionel Ott, Simon O’Callaghan, & Fábio Ramos. (2016). Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments. Neural Information Processing Systems. 29. 3925–3933. 10 indexed citations
15.
Senanayake, Ransalu, et al.. (2013). Computer controlled digital microscope with photomicrograph enhancement. 16. 44–47. 1 indexed citations
16.
Senanayake, Ransalu & Ravindra S. Goonetilleke. (2013). Superiority of Freehand Pointing. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 57(1). 1639–1642. 1 indexed citations
17.
Senanayake, Ransalu & Sisil Kumarawadu. (2012). A robust vision-based hand gesture recognition system for appliance control in smart homes. 1739. 760–763. 11 indexed citations
18.
Seet, Gerald, et al.. (2003). Kinematic Design and Analysis of a 7 Degree-of-Freedom Dual-Stage Inspection Manipulator for Dexterous Subsea Applications. Journal of Intelligent & Robotic Systems. 38(3-4). 277–295. 6 indexed citations
19.
Chen, I‐Ming, et al.. (2000). Design and Development of a Planar Inchworm Robot. Proceedings of the ... ISARC. 9 indexed citations
20.
Seet, Gerald, Ransalu Senanayake, & Eicher Low. (1995). Autonomous Mobile Robot for Hospitals. Journal of Robotics and Mechatronics. 7(3). 263–269. 3 indexed citations

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.

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