Satbir Singh

1.2k total citations
45 papers, 1.1k citations indexed

About

Satbir Singh is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Automotive Engineering. According to data from OpenAlex, Satbir Singh has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Mechanics, 29 papers in Fluid Flow and Transfer Processes and 18 papers in Automotive Engineering. Recurrent topics in Satbir Singh's work include Advanced Combustion Engine Technologies (29 papers), Combustion and flame dynamics (25 papers) and Vehicle emissions and performance (17 papers). Satbir Singh is often cited by papers focused on Advanced Combustion Engine Technologies (29 papers), Combustion and flame dynamics (25 papers) and Vehicle emissions and performance (17 papers). Satbir Singh collaborates with scholars based in United States, Poland and United Kingdom. Satbir Singh's co-authors include Rolf D. Reitz, Mark P. Musculus, Sundar Rajan Krishnan, K. Clark Midkiff, Kalyan Kumar Srinivasan, Stuart Bell, Thierry Lachaux, Scott B. Fiveland, Martin Willi and Ramachandra Diwakar and has published in prestigious journals such as Journal of Computational Physics, Energy Conversion and Management and Fuel.

In The Last Decade

Satbir Singh

44 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Satbir Singh United States 17 885 647 430 381 160 45 1.1k
Gordon McTaggart-Cowan Canada 22 1.2k 1.3× 651 1.0× 431 1.0× 669 1.8× 220 1.4× 73 1.3k
Kun Lin Tay Singapore 19 820 0.9× 439 0.7× 424 1.0× 246 0.6× 345 2.2× 36 1.0k
Christopher P. Kolodziej United States 19 940 1.1× 641 1.0× 361 0.8× 446 1.2× 242 1.5× 56 1.1k
Sandeep Munshi Canada 23 1.2k 1.3× 841 1.3× 360 0.8× 537 1.4× 219 1.4× 51 1.4k
Sheshadri Sreedhara India 16 619 0.7× 540 0.8× 228 0.5× 178 0.5× 118 0.7× 54 825
Yanzhao An China 20 955 1.1× 695 1.1× 246 0.6× 406 1.1× 244 1.5× 60 1.0k
Teemu Sarjovaara Finland 18 844 1.0× 354 0.5× 693 1.6× 419 1.1× 225 1.4× 52 1.2k
Matsuo Odaka Japan 18 547 0.6× 330 0.5× 234 0.5× 363 1.0× 214 1.3× 49 815
Russell Durrett United States 19 1.3k 1.5× 852 1.3× 616 1.4× 639 1.7× 310 1.9× 33 1.5k
Yongrae Kim South Korea 19 753 0.9× 290 0.4× 249 0.6× 366 1.0× 381 2.4× 47 911

Countries citing papers authored by Satbir Singh

Since Specialization
Citations

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

Fields of papers citing papers by Satbir Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satbir Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Satbir Singh. A scholar is included among the top collaborators of Satbir Singh 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 Satbir Singh. Satbir Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rajasegar, Rajavasanth, et al.. (2025). Exploring the Effects of Varying Pre-Chamber Geometry in a Heavy-Duty Natural Gas Optical Engine under Dilution Conditions. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations
2.
Singh, Satbir, et al.. (2024). Experimental, numerical and deep learning modeling study of heat transfer in turbulent pulsating pipe flow. Applied Thermal Engineering. 244. 122685–122685. 5 indexed citations
3.
Kumar, Aviral, et al.. (2023). Computational Study on the Effect of Thermal Boundary Conditions and Axial Aspect Ratio on Catalytic Oxidative Coupling of Methane. Industrial & Engineering Chemistry Research. 62(46). 19907–19919. 2 indexed citations
4.
Singh, Satbir, et al.. (2021). Data-based estimation and simulation of compressible pulsating flow with reverse-flow through an orifice. Flow Measurement and Instrumentation. 82. 102069–102069. 4 indexed citations
5.
Singh, Satbir, et al.. (2020). Bowl piston geometry as an alternative to enlarged crevice pistons for rapid compression machines. Proceedings of the Combustion Institute. 38(4). 5723–5731. 5 indexed citations
6.
Singh, Satbir, P. J. Adams, & Albert A. Presto. (2018). Simulations of vehicle-induced mixing and near-road aerosol microphysics using computational fluid dynamics. AIMS environmental science. 5(5). 315–339. 3 indexed citations
7.
Scungio, Mauro, et al.. (2016). Simulations of aerosol filtration by vegetation: Validation of existing models with available lab data and application to near-roadway scenario. Aerosol Science and Technology. 50(9). 937–946. 42 indexed citations
8.
Singh, Satbir, et al.. (2015). Predictions of Flow Separation at the Valve Seat for Steady-State Port-Flow Simulation. Journal of Engineering for Gas Turbines and Power. 137(11). 7 indexed citations
9.
Singh, Satbir, et al.. (2014). Computational Analysis of Combustion of High and Low Cetane Fuels in a Compression Ignition Engine. Journal of Engineering for Gas Turbines and Power. 136(12). 10 indexed citations
10.
11.
12.
Singh, Satbir, Donghyun You, & Sanjeeb Bose. (2012). Large-eddy simulation of turbulent channel flow using explicit filtering and dynamic mixed models. Physics of Fluids. 24(8). 11 indexed citations
13.
Singh, Satbir, et al.. (2011). Computational Study of Injection Rate-Shaping for Emissions Control in Diesel Engines. SAE technical papers on CD-ROM/SAE technical paper series. 1. 9 indexed citations
14.
Singh, Satbir, Mark P. Musculus, & Rolf D. Reitz. (2009). Mixing and flame structures inferred from OH-PLIF for conventional and low-temperature diesel engine combustion. Combustion and Flame. 156(10). 1898–1908. 78 indexed citations
15.
Musculus, Mark P., Satbir Singh, & Rolf D. Reitz. (2008). Gradient effects on two-color soot optical pyrometry in a heavy-duty DI diesel engine. Combustion and Flame. 153(1-2). 216–227. 79 indexed citations
16.
Hu, Bing, et al.. (2007). Combustion Modeling of Diesel Combustion with Partially Premixed Conditions. SAE technical papers on CD-ROM/SAE technical paper series. 1. 20 indexed citations
17.
Singh, Satbir, et al.. (2007). Development of a Hybrid, Auto-Ignition/Flame-Propagation Model and Validation Against Engine Experiments and Flame Liftoff. SAE technical papers on CD-ROM/SAE technical paper series. 1. 23 indexed citations
18.
Singh, Satbir, Long Liang, SC Kong, & Rolf D. Reitz. (2006). Development of a Flame Propagation Model for Dual-Fuel Partially Premixed Compression Ignition Engines. International Journal of Engine Research. 7(1). 65–75. 42 indexed citations
19.
Singh, Satbir, Song‐Charng Kong, Rolf D. Reitz, Sundar Rajan Krishnan, & K. Clark Midkiff. (2004). Modeling and Experiments of Dual-Fuel Engine Combustion and Emissions. SAE technical papers on CD-ROM/SAE technical paper series. 1. 62 indexed citations
20.
Srinivasan, Kalyan Kumar, Sundar Rajan Krishnan, Satbir Singh, et al.. (2003). The Advanced Low Pilot Ignited Natural Gas Engine: A Low NOx Alternative to the Diesel Engine. 905–912. 5 indexed citations

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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