Phanindra Tallapragada
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- Control and Dynamics of Mobile Robots 19
- Condensed Matter Physics top 10%
- Micro and Nano Robotics 17
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- Model Reduction and Neural Networks 8
- Ocean Engineering top 5%
- Underwater Vehicles and Communication Systems 9
- Aerospace Engineering top 10%
- Biomimetic flight and propulsion mechanisms 20
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- Robotic Path Planning Algorithms 11
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- Robotic Locomotion and Control 11
- Microfluidic and Bio-sensing Technologies 8
Phanindra Tallapragada
67 papers receiving 600 citations
Peers
Comparison fields: 5 of 79
- Control and Systems Engineering 222
- Condensed Matter Physics 102
- Statistical and Nonlinear Physics 96
- Ocean Engineering 103
- Aerospace Engineering 140
Countries citing papers authored by Phanindra Tallapragada
This map shows the geographic impact of Phanindra Tallapragada'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 Phanindra Tallapragada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phanindra Tallapragada more than expected).
Fields of papers citing papers by Phanindra Tallapragada
This network shows the impact of papers produced by Phanindra Tallapragada. 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 Phanindra Tallapragada. The network helps show where Phanindra Tallapragada may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Phanindra Tallapragada, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 6 | |
| 12 | 2022 | 28 | |
| 13 | 2022 | 9 | |
| 14 | 2020 | 15 | |
| 15 | 2019 | 10 | |
| 16 | 2018 | 4 | |
| 17 | 2018 | 5 | |
| 18 | 2017 | 15 | |
| 19 | Effect of glycerol as a sole carbon source on Monascus sp. for pigment production. | 2013 | 4 |
| 20 | Comparative study of Monascus sanguineus and Monascus purpureus for red pigment production under stress condition. | 2013 | 10 |
About Phanindra Tallapragada
Phanindra Tallapragada is a scholar working on Condensed Matter Physics, Control and Systems Engineering and Computational Mechanics, having authored 73 papers that have together received 618 indexed citations. Recurring topics across this work include Biomimetic flight and propulsion mechanisms (20 papers), Control and Dynamics of Mobile Robots (19 papers), Micro and Nano Robotics (17 papers), Robotic Path Planning Algorithms (11 papers), Robotic Locomotion and Control (11 papers), Underwater Vehicles and Communication Systems (9 papers), Model Reduction and Neural Networks (8 papers) and Microfluidic and Bio-sensing Technologies (8 papers). The work is most often cited by research in Control and Systems Engineering (222 citations), Condensed Matter Physics (102 citations) and Statistical and Nonlinear Physics (96 citations). Phanindra Tallapragada has collaborated with scholars based in United States and India. Frequent co-authors include Shane D. Ross, Scott David Kelly, David G. Schmale, Meghashyam Panyam, Amin Bibo, Alicia Wood-Jones, Michael J. Fairchild, Rashmi Dikshit, Deepak Kumar and Ian B. Stewart. Their work appears in journals such as Scientific Reports, Physics of Fluids and Physica D Nonlinear Phenomena.
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.