Piyush Grover
- Statistical and Nonlinear Physics top 10%
- Aerospace Engineering
- Materials Chemistry
- Condensed Matter Physics
- Civil and Structural Engineering
- Co-authors
- Saleh NabiMichael M. NortonShane D. RossTamás Kalmár‐NagyMouhacine BenosmanSeth FradenMichael F. HaganBoris Krämer
- Topics
- Micro and Nano Robotics (5 papers)Model Reduction and Neural Networks (5 papers)Fluid Dynamics and Turbulent Flows (5 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Piyush Grover
27 papers receiving 337 citations
Peers
Comparison fields: 5 of 67
- Statistical and Nonlinear Physics 89
- Aerospace Engineering 80
- Materials Chemistry 72
- Condensed Matter Physics 64
- Civil and Structural Engineering 57
Countries citing papers authored by Piyush Grover
This map shows the geographic impact of Piyush Grover'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 Piyush Grover with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piyush Grover more than expected).
Fields of papers citing papers by Piyush Grover
This network shows the impact of papers produced by Piyush Grover. 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 Piyush Grover. The network helps show where Piyush Grover may publish in the future.
Co-authorship network of co-authors of Piyush Grover
This figure shows the co-authorship network connecting the top 25 collaborators of Piyush Grover. A scholar is included among the top collaborators of Piyush Grover based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Piyush Grover. Piyush Grover is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | Phase space analysis of nonlinear wave propagation in a bistable mechanical\nmetamaterial with a defect | 5 |
| 5 | 17 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 41 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 70 | |
| 12 | Sparse Sensing and DMD-Based Identification of Flow Regimes and Bifurcations in Complex Flows | 2 |
| 13 | 44 | |
| 14 | 2 | |
| 15 | 44 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | Optimized Three-Body Gravity Assists and Manifold Transfers in End-to-End Lunar Mission Design | 5 |
| 19 | 16 | |
| 20 | Fuel-Optimal Trajectories in a Planet-Moon Environment Using Multiple Gravity Assists | 1 |
About Piyush Grover
Piyush Grover is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Computational Mechanics, having authored 28 papers that have together received 347 indexed citations. Recurring topics across this work include Micro and Nano Robotics (5 papers), Model Reduction and Neural Networks (5 papers) and Fluid Dynamics and Turbulent Flows (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (89 citations), Condensed Matter Physics (64 citations) and Acoustics and Ultrasonics (3 citations). Piyush Grover has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Saleh Nabi, Michael M. Norton, Shane D. Ross, Tamás Kalmár‐Nagy, Mouhacine Benosman, Seth Fraden, Michael F. Hagan, Boris Krämer, C. P. Caulfield and Petros T. Boufounos. Their work appears in journals such as Physical Review Letters, Journal of Sound and Vibration and Building and Environment.
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.