Aashwin Mishra

1.0k citations
30 papers · 741 · 1 hit paper · h-index 16

Impact in

Papers in

Aashwin Mishra

30 papers receiving 725 citations

Aashwin Mishra's Hit Papers

Combustion machine learning: Principles, progress and prospects 2022 · 170 citations
1700+1+2Years since publication50100150

Peers

Aashwin Mishra
Comparison fields: 5 of 76
  • Computational Mechanics 497
  • Statistics, Probability and Uncertainty 143
  • Fluid Flow and Transfer Processes 99
  • Environmental Engineering 175
  • Statistical and Nonlinear Physics 148
Replace Christophe Corre with:
Christophe Corre France
Todd Oliver United States
Marc Gerritsma Netherlands
Guilhem Lacaze United States
Luca Magri United Kingdom
Nathaniel Trask United States
Paul G. A. Cizmas United States
Pietro Marco Congedo France
Jinsheng Cai China
J. D. Rodríguez Spain
Aashwin Mishra relative to Christophe Corre France Christophe Corre's profile →
Citations per field
00.5×2.8×
Christophe Corre · 1×
Citations per year

Countries citing papers authored by Aashwin Mishra

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Aashwin Mishra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aashwin Mishra Line = papers co-authored together Aashwin Mishra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Combustion machine learning: Principles, progress and prospects
Hit paper breakdown →
2022170
2 201771
3 201845
4 201642
5 201339
6 202137
7 201034
8 201733
9 201428
10 201928
11 202026
12 201921
13 202121
14 201920
15 201516
16 201916
17 201915
18 202114
19 200612
20 201610

About Aashwin Mishra

Aashwin Mishra is a scholar working on Computational Mechanics, Environmental Engineering, Statistics, Probability and Uncertainty, Aerospace Engineering and Radiation, 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), Probabilistic and Robust Engineering Design (8 papers), Computational Fluid Dynamics and Aerodynamics (6 papers), Combustion and flame dynamics (4 papers), Fluid Dynamics and Vibration Analysis (4 papers), Dark Matter and Cosmic Phenomena (2 papers) and Advanced X-ray Imaging Techniques (2 papers). The work is most often cited by research in Computational Mechanics (497 citations), Statistics, Probability and Uncertainty (143 citations), Fluid Flow and Transfer Processes (99 citations), Environmental Engineering (175 citations) and Statistical and Nonlinear Physics (148 citations). Aashwin Mishra has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Gianluca Iaccarino, Sharath S. Girimaji, Wai Tong Chung, Matthias Ihme, Juan J. Alonso, Karthik Duraisamy, Nikolaos Perakis, Sanjeev Sanghi, Karen Willcox and Auralee Edelen. Their work appears in journals such as Physics of Fluids, Physical Review Fluids, Journal of Fluid Mechanics, AIAA Journal and Flow Turbulence and Combustion.

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.

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