Vaibhav Murthy
Impact in
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- Robotic Mechanisms and Dynamics
- Robot Manipulation and Learning
- Dynamics and Control of Mechanical Systems
- Piezoelectric Actuators and Control
- Iterative Learning Control Systems
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- Manufacturing Process and Optimization
Papers in
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- DNA Repair Mechanisms 3
- CRISPR and Genetic Engineering 1
- RNA Interference and Gene Delivery 1
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- Robotic Mechanisms and Dynamics 2
- Co-authors
- Kenneth J. Waldron (2 shared papers)Prabjot Nanua (1 shared paper)Shan‐Lu Liu (1 shared paper)Jingyou Yu (1 shared paper)Nicholas A. Wallace (4 shared papers)Changkun Hu (3 shared papers)Celina E. Juliano (1 shared paper)Taryn E. Gillies (1 shared paper)
- Journals
- Cell Systems (2 papers)Journal of Visualized Experiments (2 papers)Journal of Mechanical Design (1 paper)IEEE Transactions on Robotics and Automation (1 paper)Pathogens (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Vaibhav Murthy
12 papers receiving 446 citations
Peers
Comparison fields: 5 of 84
- Control and Systems Engineering 305
- Industrial and Manufacturing Engineering 43
- Biomedical Engineering 157
- Mechanical Engineering 102
- Computational Mechanics 37
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 | 308 | |
| 2 | 2020 | 35 | |
| 3 | Structure and Properties of Engineering Materials | 2003 | 33 |
| 4 | 2019 | 23 | |
| 5 | 2019 | 19 | |
| 6 | 1992 | 18 | |
| 7 | 2020 | 12 | |
| 8 | 2018 | 9 | |
| 9 | 2018 | 7 | |
| 10 | 2020 | 5 | |
| 11 | 2018 | 3 | |
| 12 | 2017 | 3 | |
| 13 | 2026 | 0 |
About Vaibhav Murthy
Vaibhav Murthy is a scholar working on Molecular Biology, Control and Systems Engineering, Epidemiology, Hematology and Biomaterials, having authored 13 papers that have together received 475 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), Robotic Mechanisms and Dynamics (2 papers), Cervical Cancer and HPV Research (2 papers), CRISPR and Genetic Engineering (1 paper), RNA Interference and Gene Delivery (1 paper), Complement system in diseases (1 paper), Nanoparticle-Based Drug Delivery (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Control and Systems Engineering (305 citations), Industrial and Manufacturing Engineering (43 citations), Biomedical Engineering (157 citations), Mechanical Engineering (102 citations) and Computational Mechanics (37 citations). Vaibhav Murthy has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Kenneth J. Waldron, Prabjot Nanua, Shan‐Lu Liu, Jingyou Yu, Nicholas A. Wallace, Changkun Hu, Celina E. Juliano, Taryn E. Gillies, Alexander E. Davies and Michael Pargett. Their work appears in journals such as Cell Systems, Journal of Visualized Experiments, Journal of Mechanical Design, IEEE Transactions on Robotics and Automation 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.