Pardha S. Gurugubelli
- Computational Mechanics top 5%
- Fluid Dynamics and Vibration Analysis 11
- Lattice Boltzmann Simulation Studies 8
- Fluid Dynamics and Turbulent Flows 5
- Fluid Dynamics Simulations and Interactions 4
- Environmental Engineering top 10%
- Wind and Air Flow Studies 3
- Control and Systems Engineering top 10%
- Vibration and Dynamic Analysis 6
- Aerospace Engineering top 10%
- Biomimetic flight and propulsion mechanisms 9
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- Micro and Nano Robotics 3
- Co-authors
- Rajeev K. JaimanSubhankar SenJie LiuZhong LiM. ParmarVaibhav JoshiVikranth Kumar SurasaniEvangelos Tsotsas
In The Last Decade
Pardha S. Gurugubelli
20 papers receiving 337 citations
Peers
Comparison fields: 5 of 33
- Computational Mechanics 295
- Environmental Engineering 95
- Control and Systems Engineering 145
- Aerospace Engineering 131
- Energy Engineering and Power Technology 4
Countries citing papers authored by Pardha S. Gurugubelli
This map shows the geographic impact of Pardha S. Gurugubelli'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 Pardha S. Gurugubelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pardha S. Gurugubelli more than expected).
Fields of papers citing papers by Pardha S. Gurugubelli
This network shows the impact of papers produced by Pardha S. Gurugubelli. 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 Pardha S. Gurugubelli. The network helps show where Pardha S. Gurugubelli may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Pardha S. Gurugubelli, 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 | 2024 | 6 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 4 | |
| 4 | 2021 | 3 | |
| 5 | 2021 | 2 | |
| 6 | 2021 | 14 | |
| 7 | 2019 | 1 | |
| 8 | 2019 | 20 | |
| 9 | 2019 | 3 | |
| 10 | 2018 | 8 | |
| 11 | 2018 | 3 | |
| 12 | 2017 | 1 | |
| 13 | 2015 | 8 | |
| 14 | 2015 | 57 | |
| 15 | 2015 | 1 | |
| 16 | 2015 | 44 | |
| 17 | 2015 | 85 | |
| 18 | 2014 | 4 | |
| 19 | 2014 | 45 | |
| 20 | 2013 | 29 |
About Pardha S. Gurugubelli
Pardha S. Gurugubelli is a scholar working on Computational Mechanics, Aerospace Engineering and Control and Systems Engineering, having authored 20 papers that have together received 342 indexed citations. Recurring topics across this work include Fluid Dynamics and Vibration Analysis (11 papers), Biomimetic flight and propulsion mechanisms (9 papers), Lattice Boltzmann Simulation Studies (8 papers), Vibration and Dynamic Analysis (6 papers), Fluid Dynamics and Turbulent Flows (5 papers), Fluid Dynamics Simulations and Interactions (4 papers), Wind and Air Flow Studies (3 papers) and Micro and Nano Robotics (3 papers). The work is most often cited by research in Computational Mechanics (295 citations), Environmental Engineering (95 citations) and Control and Systems Engineering (145 citations). Pardha S. Gurugubelli has collaborated with scholars based in Singapore, India and Canada. Frequent co-authors include Rajeev K. Jaiman, Subhankar Sen, Jie Liu, Zhong Li, M. Parmar, Vaibhav Joshi, Vikranth Kumar Surasani, Evangelos Tsotsas, Yun Zhi Law and Vinay Sharma. Their work appears in journals such as Journal of Fluids and Structures, Physics of Fluids, Computers & Fluids, International Journal of Hydrogen Energy and International Journal of Heat and Fluid Flow.
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.