Ashish Shah

870 total citations
31 papers, 688 citations indexed

About

Ashish Shah is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Automotive Engineering. According to data from OpenAlex, Ashish Shah has authored 31 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Fluid Flow and Transfer Processes, 23 papers in Computational Mechanics and 14 papers in Automotive Engineering. Recurrent topics in Ashish Shah's work include Advanced Combustion Engine Technologies (30 papers), Combustion and flame dynamics (23 papers) and Vehicle emissions and performance (11 papers). Ashish Shah is often cited by papers focused on Advanced Combustion Engine Technologies (30 papers), Combustion and flame dynamics (23 papers) and Vehicle emissions and performance (11 papers). Ashish Shah collaborates with scholars based in United States, Sweden and India. Ashish Shah's co-authors include Per Tunestål, Bengt Johansson, Fei Qin, Xue‐Song Bai, Lina Peng, Zhiwei Huang, Toby Rockstroh, Douglas E. Longman, Riccardo Scarcelli and Joohan Kim and has published in prestigious journals such as Fuel, Combustion and Flame and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Ashish Shah

29 papers receiving 664 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashish Shah United States 11 609 567 311 125 120 31 688
M. Reyes Spain 14 530 0.9× 409 0.7× 189 0.6× 179 1.4× 143 1.2× 26 602
Noud Maes Netherlands 12 487 0.8× 448 0.8× 166 0.5× 77 0.6× 85 0.7× 36 537
Keisuke Ishii Japan 7 398 0.7× 361 0.6× 141 0.5× 119 1.0× 68 0.6× 15 442
Lijia Zhong China 12 558 0.9× 465 0.8× 378 1.2× 85 0.7× 53 0.4× 32 680
B. Giménez Spain 11 395 0.6× 289 0.5× 113 0.4× 142 1.1× 128 1.1× 31 448
Chunsheng Ji United States 18 1.0k 1.7× 878 1.5× 320 1.0× 144 1.2× 303 2.5× 29 1.1k
Gerald Gentz United States 15 652 1.1× 658 1.2× 375 1.2× 100 0.8× 101 0.8× 18 741
R. Woolley United Kingdom 8 541 0.9× 557 1.0× 307 1.0× 94 0.8× 92 0.8× 10 668
Kai Herrmann Switzerland 14 358 0.6× 294 0.5× 138 0.4× 61 0.5× 109 0.9× 34 428
Panagiotis Kyrtatos Switzerland 12 430 0.7× 359 0.6× 176 0.6× 131 1.0× 85 0.7× 31 460

Countries citing papers authored by Ashish Shah

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashish Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Shah. A scholar is included among the top collaborators of Ashish Shah 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 Ashish Shah. Ashish Shah 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.
Sari, Rafael Lago, et al.. (2024). Hydrogen Internal Combustion Engine Strategies for Heavy-Duty Transportation: Engine and System Level Perspective. SAE International Journal of Advances and Current Practices in Mobility. 6(6). 2937–2953. 5 indexed citations
2.
Sari, Rafael Lago, et al.. (2024). Combining Gasoline Compression Ignition and Powertrain Hybridization for Long-Haul Applications. Energies. 17(5). 1099–1099. 1 indexed citations
3.
Marquez, Manuel Echeverri, et al.. (2023). Exhaust Rebreathing Strategy to Improve Low Load Operation Applied on a Heavy-Duty Gasoline Compression Ignition Engine. SAE International Journal of Advances and Current Practices in Mobility. 6(5). 2507–2517. 2 indexed citations
4.
Sellnau, Mark, et al.. (2023). Valvetrain System for Exhaust Rebreathing on a Light-Duty Gasoline Compression Ignition (GCI) Engine. SAE International Journal of Advances and Current Practices in Mobility. 6(5). 2406–2421. 1 indexed citations
5.
Kumar, Praveen, et al.. (2022). Development of Two-Step Exhaust Rebreathing for a Low-NOx Light-Duty Gasoline Compression Ignition Engine. Energies. 15(18). 6565–6565. 5 indexed citations
6.
Kim, Joohan, et al.. (2021). Assessment of Turbulent Combustion Models for Simulating Prechamber Ignition in a Natural Gas Engine. Journal of Engineering for Gas Turbines and Power. 143(9). 23 indexed citations
7.
Kim, Joohan, et al.. (2021). Numerical investigation of a fueled pre-chamber spark-ignition natural gas engine. International Journal of Engine Research. 23(9). 1475–1494. 37 indexed citations
8.
Shah, Ashish, et al.. (2021). Gasoline fuels properties for multi-mode operation – Observations in a GDI and the CFR engine. Fuel. 291. 119680–119680. 10 indexed citations
9.
Shah, Ashish, Song Cheng, Douglas E. Longman, S. Scott Goldsborough, & Toby Rockstroh. (2020). An experimental study of uncertainty considerations associated with predicting auto-ignition timing using the Livengood-Wu integral method. Fuel. 286. 119025–119025. 10 indexed citations
10.
11.
Shah, Ashish, Dongil Kang, S. Scott Goldsborough, & Toby Rockstroh. (2019). Utilizing Static Autoignition Measurements to Estimate Intake Air Condition Requirements for Compression Ignition in a Multi-Mode Engine - Engine and RCM Experimental Study. SAE technical papers on CD-ROM/SAE technical paper series. 1. 6 indexed citations
12.
Kang, Dongil, Ashish Shah, Toby Rockstroh, & S. Scott Goldsborough. (2019). Utilizing Static Autoignition Measurements to Estimate Intake Air Condition Requirements for Compression Ignition in a Multi-Mode Engine - Application of Chemical Kinetic Modeling. SAE technical papers on CD-ROM/SAE technical paper series. 1. 8 indexed citations
13.
14.
Ge, Yunshan, et al.. (2016). Effect of Biodiesel on the Performance and Combustion Parameters of a Turbocharged Compression Ignition Engine. 7 indexed citations
15.
Shah, Ashish, Per Tunestål, & Bengt Johansson. (2016). Scalability Aspects of Pre-Chamber Ignition in Heavy Duty Natural Gas Engines. SAE technical papers on CD-ROM/SAE technical paper series. 1. 30 indexed citations
16.
Wilson, David, Michael Lengden, Jari Hyvönen, et al.. (2016). Towards in-cylinder chemical species tomography on large-bore IC engines with pre-chamber. Flow Measurement and Instrumentation. 53. 116–125. 23 indexed citations
17.
Shah, Ashish, Per Tunestål, & Bengt Johansson. (2015). Effect of Pre-Chamber Volume and Nozzle Diameter on Pre-Chamber Ignition in Heavy Duty Natural Gas Engines. SAE technical papers on CD-ROM/SAE technical paper series. 1. 145 indexed citations
18.
Shah, Ashish, Per Tunestål, & Bengt Johansson. (2015). CFD Simulations of Pre-Chamber Jets' Mixing Characteristics in a Heavy Duty Natural Gas Engine. SAE technical papers on CD-ROM/SAE technical paper series. 1. 41 indexed citations
19.
Shah, Ashish, Per Tunestål, & Bengt Johansson. (2012). Investigation of Performance and Emission Characteristics of a Heavy Duty Natural Gas Engine Operated with Pre-Chamber Spark Plug and Dilution with Excess Air and EGR. SAE International Journal of Engines. 5(4). 1790–1801. 61 indexed citations
20.
Shah, Ashish, et al.. (2011). Literature Review and Simulation of Dual Fuel Diesel-CNG Engines. SAE technical papers on CD-ROM/SAE technical paper series. 1. 51 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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