Adithyavairavan Murali
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning 4
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- Soft Robotics and Applications 4
- Anatomy and Medical Technology 2
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- Multimodal Machine Learning Applications 2
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- Surgical Simulation and Training 5
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- Robotics and Sensor-Based Localization 2
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- Reinforcement Learning in Robotics 2
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- Quality and Safety in Healthcare 1
- Co-authors
- Pieter AbbeelKen GoldbergSiddarth SenAnimesh GargS. M. L. LimBen KehoeSachin PatilSanjay Krishnan
- Cited by
- Control and Systems EngineeringBiomedical EngineeringComputer Vision and Pattern Recognition
- Journals
- arXiv (Cornell University) (2 papers)2022 International Conference on Robotics and Automation (ICRA) (1 paper)
- Partner nations
- United States
In The Last Decade
Adithyavairavan Murali
10 papers receiving 326 citations
Peers
Comparison fields: 5 of 54
- Control and Systems Engineering 115
- Biomedical Engineering 220
- Computer Vision and Pattern Recognition 100
- Health Informatics 6
- Human-Computer Interaction 20
Countries citing papers authored by Adithyavairavan Murali
This map shows the geographic impact of Adithyavairavan Murali'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 Adithyavairavan Murali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adithyavairavan Murali more than expected).
Fields of papers citing papers by Adithyavairavan Murali
This network shows the impact of papers produced by Adithyavairavan Murali. 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 Adithyavairavan Murali. The network helps show where Adithyavairavan Murali may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Adithyavairavan Murali, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2022 | 13 | |
| 3 | 2018 | 16 | |
| 4 | 2018 | 17 | |
| 5 | 2016 | 45 | |
| 6 | 2015 | 57 | |
| 7 | 2015 | 17 | |
| 8 | 2015 | 7 | |
| 9 | 2015 | 114 | |
| 10 | 2014 | 50 |
About Adithyavairavan Murali
Adithyavairavan Murali is a scholar working on Medical Laboratory Technology, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 10 papers that have together received 340 indexed citations. Recurring topics across this work include Surgical Simulation and Training (5 papers), Soft Robotics and Applications (4 papers), Robot Manipulation and Learning (4 papers), Anatomy and Medical Technology (2 papers), Multimodal Machine Learning Applications (2 papers), Robotics and Sensor-Based Localization (2 papers), Reinforcement Learning in Robotics (2 papers) and Quality and Safety in Healthcare (1 paper). The work is most often cited by research in Control and Systems Engineering (115 citations), Biomedical Engineering (220 citations) and Computer Vision and Pattern Recognition (100 citations). Adithyavairavan Murali has collaborated with scholars based in United States. Frequent co-authors include Pieter Abbeel, Ken Goldberg, Siddarth Sen, Animesh Garg, S. M. L. Lim, Ben Kehoe, Sachin Patil, Sanjay Krishnan, Sachin Patil and W. Douglas Boyd. Their work appears in journals such as arXiv (Cornell University) and 2022 International Conference on Robotics and Automation (ICRA).
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.