Thrishantha Nanayakkara
- Biomedical Engineering top 1%
- Control and Systems Engineering top 1%
- Mechanical Engineering top 2%
- Cognitive Neuroscience top 2%
- Condensed Matter Physics top 5%
- Co-authors
- Kaspar AlthoeferProkar DasguptaAllen JiangGiada GerboniTommaso RanzaniMatteo CianchettiArianna MenciassiS. M. Hadi Sadati
- Topics
- Soft Robotics and Applications (58 papers)Robot Manipulation and Learning (44 papers)Robotic Locomotion and Control (28 papers)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Thrishantha Nanayakkara
142 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Biomedical Engineering 2.2k
- Control and Systems Engineering 1.0k
- Mechanical Engineering 770
- Cognitive Neuroscience 711
- Condensed Matter Physics 323
Countries citing papers authored by Thrishantha Nanayakkara
This map shows the geographic impact of Thrishantha Nanayakkara'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 Thrishantha Nanayakkara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thrishantha Nanayakkara more than expected).
Fields of papers citing papers by Thrishantha Nanayakkara
This network shows the impact of papers produced by Thrishantha Nanayakkara. 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 Thrishantha Nanayakkara. The network helps show where Thrishantha Nanayakkara may publish in the future.
Co-authorship network of co-authors of Thrishantha Nanayakkara
This figure shows the co-authorship network connecting the top 25 collaborators of Thrishantha Nanayakkara. A scholar is included among the top collaborators of Thrishantha Nanayakkara 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 Thrishantha Nanayakkara. Thrishantha Nanayakkara 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 | 12 | |
| 3 | 22 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 20 | |
| 10 | 24 | |
| 11 | 65 | |
| 12 | 21 | |
| 13 | 18 | |
| 14 | 11 | |
| 15 | 35 | |
| 16 | 87 | |
| 17 | 7 | |
| 18 | 16 | |
| 19 | 62 | |
| 20 | 4 |
About Thrishantha Nanayakkara
Thrishantha Nanayakkara is a scholar working on Control and Systems Engineering, Biomedical Engineering and Cognitive Neuroscience, having authored 146 papers that have together received 3.0k indexed citations. Recurring topics across this work include Soft Robotics and Applications (58 papers), Robot Manipulation and Learning (44 papers) and Robotic Locomotion and Control (28 papers). The work is most often cited by research in Biomedical Engineering (2.2k citations), Control and Systems Engineering (1.0k citations) and Cognitive Neuroscience (711 citations). Thrishantha Nanayakkara has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Kaspar Althoefer, Prokar Dasgupta, Allen Jiang, Giada Gerboni, Tommaso Ranzani, Matteo Cianchetti, Arianna Menciassi, S. M. Hadi Sadati, Jelizaveta Konstantinova and Yohan Noh. Their work appears in journals such as Neuron, Journal of Neuroscience and PLoS ONE.
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.