Balakumar Sundaralingam
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Co-authors
- Tucker HermansDieter FoxStan BirchfieldXiang YuJonathan TremblayThang ToKarl Van WykChris Paxton
- Topics
- Robot Manipulation and Learning (13 papers)Robotic Path Planning Algorithms (6 papers)Robotic Mechanisms and Dynamics (4 papers)
- Cited by
- Control and Systems EngineeringHuman-Computer InteractionComputer Vision and Pattern Recognition
- Partner nations
- United StatesSwedenAustralia
In The Last Decade
Balakumar Sundaralingam
16 papers receiving 447 citations
Peers
Comparison fields: 5 of 48
- Control and Systems Engineering 345
- Computer Vision and Pattern Recognition 206
- Biomedical Engineering 129
- Artificial Intelligence 107
- Aerospace Engineering 94
Countries citing papers authored by Balakumar Sundaralingam
This map shows the geographic impact of Balakumar Sundaralingam'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 Balakumar Sundaralingam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Balakumar Sundaralingam more than expected).
Fields of papers citing papers by Balakumar Sundaralingam
This network shows the impact of papers produced by Balakumar Sundaralingam. 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 Balakumar Sundaralingam. The network helps show where Balakumar Sundaralingam may publish in the future.
Co-authorship network of co-authors of Balakumar Sundaralingam
This figure shows the co-authorship network connecting the top 25 collaborators of Balakumar Sundaralingam. A scholar is included among the top collaborators of Balakumar Sundaralingam 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 Balakumar Sundaralingam. Balakumar Sundaralingam 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 | 32 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 65 | |
| 6 | 19 | |
| 7 | 5 | |
| 8 | 13 | |
| 9 | 13 | |
| 10 | 40 | |
| 11 | 18 | |
| 12 | 40 | |
| 13 | 34 | |
| 14 | 2 | |
| 15 | 133 | |
| 16 | 31 | |
| 17 | 30 |
About Balakumar Sundaralingam
Balakumar Sundaralingam is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 17 papers that have together received 482 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (13 papers), Robotic Path Planning Algorithms (6 papers) and Robotic Mechanisms and Dynamics (4 papers). The work is most often cited by research in Control and Systems Engineering (345 citations), Human-Computer Interaction (56 citations) and Computer Vision and Pattern Recognition (206 citations). Balakumar Sundaralingam has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Tucker Hermans, Dieter Fox, Stan Birchfield, Xiang Yu, Jonathan Tremblay, Thang To, Karl Van Wyk, Chris Paxton, Ankur Handa and Yashraj Narang. Their work appears in journals such as PLoS ONE, Autonomous Robots and IEEE Robotics and Automation 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.