Vaibhav Murthy
Impact in
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- Robotic Mechanisms and Dynamics
- Piezoelectric Actuators and Control
- Dynamics and Control of Mechanical Systems
- Robot Manipulation and Learning
- Iterative Learning Control Systems
Papers in
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- DNA Repair Mechanisms 3
- Advanced biosensing and bioanalysis techniques 1
- Enzyme function and inhibition 1
- Co-authors
- Kenneth J. Waldron (2 shared papers)P. Nanua (1 shared paper)Nicholas A. Wallace (4 shared papers)Jingyou Yu (1 shared paper)Shan‐Lu Liu (1 shared paper)Changkun Hu (3 shared papers)Michael Pargett (1 shared paper)Taryn E. Gillies (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Cancers (1 paper)IEEE Transactions on Robotics and Automation (1 paper)Journal of Mechanical Design (1 paper)Pathogens (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Vaibhav Murthy
12 papers receiving 394 citations
Peers
Comparison fields: 5 of 82
- Control and Systems Engineering 264
- Industrial and Manufacturing Engineering 32
- Biomedical Engineering 141
- Mechanical Engineering 88
- Computational Mechanics 34
Countries citing papers authored by Vaibhav Murthy
This map shows the geographic impact of Vaibhav Murthy'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 Vaibhav Murthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vaibhav Murthy more than expected).
Fields of papers citing papers by Vaibhav Murthy
This network shows the impact of papers produced by Vaibhav Murthy. 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 Vaibhav Murthy. The network helps show where Vaibhav Murthy may publish in the future.
Co-authors
The 25 scholars most cited alongside Vaibhav Murthy, 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 | 1990 | 269 | |
| 2 | 2020 | 30 | |
| 3 | Structure and Properties of Engineering Materials | 2003 | 29 |
| 4 | 2019 | 19 | |
| 5 | 2019 | 18 | |
| 6 | 1992 | 13 | |
| 7 | 2020 | 11 | |
| 8 | 2018 | 8 | |
| 9 | 2018 | 7 | |
| 10 | 2020 | 5 | |
| 11 | 2017 | 3 | |
| 12 | 2018 | 3 |
About Vaibhav Murthy
Vaibhav Murthy is a scholar working on Molecular Biology, Biomedical Engineering, Control and Systems Engineering, Epidemiology and Pathology and Forensic Medicine, having authored 12 papers that have together received 415 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), Cervical Cancer and HPV Research (2 papers), Robotic Mechanisms and Dynamics (2 papers), Electrochemical sensors and biosensors (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Computational Drug Discovery Methods (1 paper), Genetic factors in colorectal cancer (1 paper) and Enzyme function and inhibition (1 paper). The work is most often cited by research in Control and Systems Engineering (264 citations), Industrial and Manufacturing Engineering (32 citations), Biomedical Engineering (141 citations), Mechanical Engineering (88 citations) and Computational Mechanics (34 citations). Vaibhav Murthy has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Kenneth J. Waldron, P. Nanua, Nicholas A. Wallace, Jingyou Yu, Shan‐Lu Liu, Changkun Hu, Michael Pargett, Taryn E. Gillies, John G. Albeck and Gerald Quon. Their work appears in journals such as Journal of Visualized Experiments, Cancers, IEEE Transactions on Robotics and Automation, Journal of Mechanical Design and Pathogens.
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.