Mohammad Shahsavari

589 total citations
23 papers, 468 citations indexed

About

Mohammad Shahsavari is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Mohammad Shahsavari has authored 23 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Mechanics, 16 papers in Fluid Flow and Transfer Processes and 9 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Mohammad Shahsavari's work include Combustion and flame dynamics (16 papers), Advanced Combustion Engine Technologies (16 papers) and Fire dynamics and safety research (9 papers). Mohammad Shahsavari is often cited by papers focused on Combustion and flame dynamics (16 papers), Advanced Combustion Engine Technologies (16 papers) and Fire dynamics and safety research (9 papers). Mohammad Shahsavari collaborates with scholars based in China, Iran and United Kingdom. Mohammad Shahsavari's co-authors include Dan Zhao, Tao Cai, Bing Wang, Zhuming Rao, Mohammad Farshchi, Mehdi Jangi, Agustín Valera-Medina, Alexander A. Konnov, Siew Hwa Chan and B.M. Zhang and has published in prestigious journals such as Journal of Fluid Mechanics, Energy and Fuel.

In The Last Decade

Mohammad Shahsavari

21 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Shahsavari China 12 307 265 145 100 74 23 468
B. Aravind India 12 344 1.1× 255 1.0× 152 1.0× 193 1.9× 28 0.4× 29 575
Guillaume Vignat France 14 411 1.3× 259 1.0× 138 1.0× 49 0.5× 36 0.5× 32 464
Fabien Halter France 6 259 0.8× 251 0.9× 221 1.5× 73 0.7× 16 0.2× 12 391
Fei Xing China 13 381 1.2× 148 0.6× 238 1.6× 40 0.4× 15 0.2× 45 559
Daisuke Shimokuri Japan 14 410 1.3× 285 1.1× 188 1.3× 67 0.7× 10 0.1× 35 521
Keiichi Okai Japan 12 240 0.8× 135 0.5× 204 1.4× 55 0.6× 9 0.1× 71 426
L.P.H. de Goey Netherlands 12 719 2.3× 640 2.4× 320 2.2× 43 0.4× 43 0.6× 13 821
Minh Tien Nguyen Taiwan 9 254 0.8× 209 0.8× 155 1.1× 12 0.1× 51 0.7× 17 320
Y. Urata United Kingdom 10 527 1.7× 560 2.1× 169 1.2× 50 0.5× 15 0.2× 14 625

Countries citing papers authored by Mohammad Shahsavari

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Shahsavari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Shahsavari

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Shahsavari. A scholar is included among the top collaborators of Mohammad Shahsavari 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 Mohammad Shahsavari. Mohammad Shahsavari 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.
Shahsavari, Mohammad, Nilanjan Chakraborty, Alexander A. Konnov, et al.. (2025). A comparative analysis of plasma and hydrogen effects on premixed ammonia combustion. Combustion and Flame. 279. 114300–114300.
2.
Shahsavari, Mohammad, et al.. (2024). Comparative effects of plasma and preheating in assisting premixed ammonia/air flames: A DNS study. Fuel. 381. 133645–133645. 5 indexed citations
3.
Guan, Yiheng, Sid Becker, Dan Zhao, et al.. (2023). Entropy generation and CO2 emission in presence of pulsating oscillations in a bifurcating thermoacoustic combustor with a Helmholtz resonator at off-design conditions. Aerospace Science and Technology. 136. 108204–108204. 44 indexed citations
4.
Shahsavari, Mohammad, Alexander A. Konnov, Xue‐Song Bai, et al.. (2023). Synergistic effects of nanosecond plasma discharge and hydrogen on ammonia combustion. Fuel. 348. 128475–128475. 27 indexed citations
5.
Shahsavari, Mohammad, et al.. (2022). Effect of fuel reactivity on flame properties of a low-swirl burner. Experimental Thermal and Fluid Science. 142. 110795–110795. 6 indexed citations
6.
Shahsavari, Mohammad, et al.. (2022). The propagation characteristics of particle-laden two-phase detonation waves in pyrolysis mixtures of C(s)/H2/CO/CH4/O2/N2. Aerospace Science and Technology. 130. 107912–107912. 11 indexed citations
7.
Zhang, Bo, et al.. (2022). Effects of inert dispersed particles on the propagation characteristics of a H2/CO/air detonation wave. Aerospace Science and Technology. 126. 107660–107660. 12 indexed citations
8.
Cai, Tao, Dan Zhao, Siew Hwa Chan, & Mohammad Shahsavari. (2022). Tailoring reduced mechanisms for predicting flame propagation and ignition characteristics in ammonia and ammonia/hydrogen mixtures. Energy. 260. 125090–125090. 66 indexed citations
9.
Shahsavari, Mohammad, Mohammad Farshchi, Mohammad Hossein Arabnejad, & Bing Wang. (2021). The Role of Flame–flow Interactions on Lean Premixed Lifted Flame Stabilization in a Low Swirl Flow. Combustion Science and Technology. 195(5). 897–922. 3 indexed citations
10.
Sun, Yuze, Tao Cai, Mohammad Shahsavari, et al.. (2021). RANS simulations on combustion and emission characteristics of a premixed NH3/H2 swirling flame with reduced chemical kinetic model. Chinese Journal of Aeronautics. 34(12). 17–27. 73 indexed citations
11.
Rao, Zhuming, Ruichao Li, Bo Zhang, et al.. (2021). Nonlinear Dynamics of a Swirl-Stabilized Combustor under Acoustic Excitations: Influence of the Excited Combustor Natural Mode Oscillations. Flow Turbulence and Combustion. 107(3). 683–708. 8 indexed citations
12.
13.
Khamehchi, Ehsan, et al.. (2020). Investigation of effective parameters on asphaltene deposition and production optimization in one of the Iranian oil fields. Proceedings of OilGasScientificResearchProjects Institute SOCAR. 12–21. 1 indexed citations
15.
Shahsavari, Mohammad, et al.. (2019). Low swirl premixed methane-air flame dynamics under acoustic excitations. Physics of Fluids. 31(9). 21 indexed citations
16.
Shahsavari, Mohammad, et al.. (2018). PREDICTION OF NOX EMISSIONS IN AN INDUSTRIAL GAS TURBINE COMBUSTOR USING LARGE EDDY SIMULATION AND REACTOR NETWORK MODELING. 11(2). 91–117.
17.
Shahsavari, Mohammad, et al.. (2017). Numerical Study of Cryogenic Swirl Injection Under Supercritical Conditions. Journal of Propulsion and Power. 34(2). 428–437. 6 indexed citations
18.
Shahsavari, Mohammad & Mohammad Farshchi. (2017). Large Eddy Simulation of Low Swirl Flames Under External Flow Excitations. Flow Turbulence and Combustion. 100(1). 249–269. 11 indexed citations
19.
Shahsavari, Mohammad, Mohammad Farshchi, & Mohammad Hossein Arabnejad. (2016). Large Eddy Simulations of Unconfined Non-reacting and Reacting Turbulent Low Swirl Jets. Flow Turbulence and Combustion. 98(3). 817–840. 12 indexed citations
20.
Shahsavari, Mohammad, et al.. (2013). Experimental Characterization of Response of Lean Premixed Low-Swirl Flames to Acoustic Excitations. International Journal of Spray and Combustion Dynamics. 5(4). 309–328. 10 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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