V. Sankaran

699 citations
16 papers · 495 indexed · h-index 9

V. Sankaran

16 papers receiving 485 citations

Peers

V. Sankaran
Comparison fields: 5 of 48
  • Fluid Flow and Transfer Processes 260
  • Computational Mechanics 346
  • Safety, Risk, Reliability and Quality 66
  • Aerospace Engineering 116
  • Industrial and Manufacturing Engineering 35
Replace Karen J. Weiland with:
Karen J. Weiland United States
Bruce A. Perry United States
S. H. Sohrab United States
Beth Anne V. Bennett United States
Yu. А. Litvinenko Russia
Riccardo Malpica Galassi Italy
Yasuhiro Mizobuchi Japan
Mikaël Orain France
Pietro Paolo Ciottoli Italy
Stanislav Kostka United States
V. Sankaran relative to Karen J. Weiland United States Karen J. Weiland's profile →
Citations per field
00.5×4.4×
Karen J. Weiland · 1×
Citations per year

Countries citing papers authored by V. Sankaran

Since Specialization
Citations

This map shows the geographic impact of V. Sankaran'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 V. Sankaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Sankaran more than expected).

Fields of papers citing papers by V. Sankaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. Sankaran. 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 V. Sankaran. The network helps show where V. Sankaran may publish in the future.

Co-authorship network

The 25 scholars most cited alongside V. Sankaran, 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 V. Sankaran Line = papers co-authored together V. Sankaran links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2017197
2 20125
3 200955
4
Type Ia Supernovae
20083
5 20076
6
A Sub-grid Mixing Model for Large Eddy Simulation of Supersonic Combustion
20076
7 20079
8 200641
9 200577
10 200533
11 20025
12 20028
13 20013
14 20002
15 199828
16 199717

About V. Sankaran

V. Sankaran is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Safety, Risk, Reliability and Quality, Industrial and Manufacturing Engineering and Astronomy and Astrophysics, having authored 16 papers that have together received 495 indexed citations. Recurring topics across this work include Combustion and flame dynamics (10 papers), Advanced Combustion Engine Technologies (7 papers), Gamma-ray bursts and supernovae (3 papers), Fire dynamics and safety research (3 papers), Fluid Dynamics and Turbulent Flows (2 papers), Advanced Measurement and Metrology Techniques (2 papers), Computational Fluid Dynamics and Aerodynamics (2 papers) and Industrial Vision Systems and Defect Detection (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (260 citations), Computational Mechanics (346 citations), Safety, Risk, Reliability and Quality (66 citations), Aerospace Engineering (116 citations) and Industrial and Manufacturing Engineering (35 citations). V. Sankaran has collaborated with scholars based in United States and Germany. Frequent co-authors include Suresh Menon, S. E. Woosley, Alan R. Kerstein, F. K. Röpke, R.P. Kraft, W. M. Roquemore, Daniel G. Friend, Jeffery A. Lovett, A.J. Aspden and Joshua S. Heyne. Their work appears in journals such as Proceedings of the Combustion Institute, The Astrophysical Journal, AIAA Journal, SAE technical papers on CD-ROM/SAE technical paper series and Fuel.

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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