Aashwin Mishra
- Computational Mechanics top 2%
- Aerospace Engineering top 10%
- Environmental Engineering top 5%
- Statistical and Nonlinear Physics top 5%
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Gianluca IaccarinoSharath S. GirimajiMatthias IhmeWai Tong ChungJuan J. AlonsoKarthik DuraisamyNikolaos PerakisSanjeev Sanghi
- Topics
- Fluid Dynamics and Turbulent Flows (16 papers)Wind and Air Flow Studies (10 papers)Probabilistic and Robust Engineering Design (8 papers)
- Cited by
- Computational MechanicsStatistics, Probability and UncertaintyFluid Flow and Transfer Processes
- Journals
- SHILAP Revista de lepidopterologíaThe Astrophysical JournalJournal of Fluid Mechanics
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Aashwin Mishra
30 papers receiving 725 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Computational Mechanics 497
- Aerospace Engineering 180
- Environmental Engineering 175
- Statistical and Nonlinear Physics 148
- Statistics, Probability and Uncertainty 143
Countries citing papers authored by Aashwin Mishra
This map shows the geographic impact of Aashwin Mishra'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 Aashwin Mishra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aashwin Mishra more than expected).
Fields of papers citing papers by Aashwin Mishra
This network shows the impact of papers produced by Aashwin Mishra. 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 Aashwin Mishra. The network helps show where Aashwin Mishra may publish in the future.
Co-authorship network of co-authors of Aashwin Mishra
This figure shows the co-authorship network connecting the top 25 collaborators of Aashwin Mishra. A scholar is included among the top collaborators of Aashwin Mishra 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 Aashwin Mishra. Aashwin Mishra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | Data Driven Physics Constrained Perturbations for Turbulence Model Uncertainty Estimation. | 2 |
| 7 | 14 | |
| 8 | 8 | |
| 9 | 37 | |
| 10 | 21 | |
| 11 | 26 | |
| 12 | 8 | |
| 13 | 20 | |
| 14 | 21 | |
| 15 | 15 | |
| 16 | 45 | |
| 17 | 71 | |
| 18 | 10 | |
| 19 | 16 | |
| 20 | 28 |
About Aashwin Mishra
Aashwin Mishra is a scholar working on Structural Biology, Statistics, Probability and Uncertainty and Computational Mechanics, having authored 30 papers that have together received 741 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (16 papers), Wind and Air Flow Studies (10 papers) and Probabilistic and Robust Engineering Design (8 papers). The work is most often cited by research in Computational Mechanics (497 citations), Statistics, Probability and Uncertainty (143 citations) and Fluid Flow and Transfer Processes (99 citations). Aashwin Mishra has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Gianluca Iaccarino, Sharath S. Girimaji, Matthias Ihme, Wai Tong Chung, Juan J. Alonso, Karthik Duraisamy, Nikolaos Perakis, Sanjeev Sanghi, Karen Willcox and Auralee Edelen. Their work appears in journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Journal of Fluid Mechanics.
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.