Mohammad Janbozorgi

620 total citations
20 papers, 501 citations indexed

About

Mohammad Janbozorgi is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Statistical and Nonlinear Physics. According to data from OpenAlex, Mohammad Janbozorgi has authored 20 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Fluid Flow and Transfer Processes, 12 papers in Computational Mechanics and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Mohammad Janbozorgi's work include Advanced Combustion Engine Technologies (13 papers), Combustion and flame dynamics (12 papers) and Advanced Thermodynamics and Statistical Mechanics (8 papers). Mohammad Janbozorgi is often cited by papers focused on Advanced Combustion Engine Technologies (13 papers), Combustion and flame dynamics (12 papers) and Advanced Thermodynamics and Statistical Mechanics (8 papers). Mohammad Janbozorgi collaborates with scholars based in United States, Italy and Mexico. Mohammad Janbozorgi's co-authors include Hameed Metghalchi, Pirouz Kavehpour, James C. Keck, Gian Paolo Beretta, M. Reza H. Sheikhi, Foroogh Namjooyan, Nastaran Majdinasab, Ali Moghaddas, Omid Askari and Hai Wang and has published in prestigious journals such as Renewable Energy, Combustion and Flame and Journal of Energy Storage.

In The Last Decade

Mohammad Janbozorgi

20 papers receiving 490 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 Janbozorgi United States 14 213 207 176 86 62 20 501
M. K. Das India 9 97 0.5× 177 0.9× 76 0.4× 26 0.3× 56 0.9× 42 402
N.R. Nannan Netherlands 12 230 1.1× 61 0.3× 208 1.2× 59 0.7× 70 1.1× 18 512
G. Venkatarathnam India 20 56 0.3× 73 0.4× 762 4.3× 130 1.5× 133 2.1× 61 1.0k
K.T. Feldman United States 11 116 0.5× 33 0.2× 294 1.7× 74 0.9× 78 1.3× 34 527
Elmar Baumhögger Germany 15 54 0.3× 74 0.4× 279 1.6× 39 0.5× 23 0.4× 35 466
Subir Roychoudhury United States 15 243 1.1× 180 0.9× 137 0.8× 12 0.1× 140 2.3× 44 757
Hong‐Meng Li China 16 498 2.3× 453 2.2× 52 0.3× 11 0.1× 408 6.6× 52 807
Tian Lan China 10 123 0.6× 42 0.2× 153 0.9× 17 0.2× 8 0.1× 29 414
Ke Nguyen United States 14 113 0.5× 65 0.3× 137 0.8× 77 0.9× 27 0.4× 31 495

Countries citing papers authored by Mohammad Janbozorgi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Janbozorgi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Janbozorgi

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Janbozorgi. A scholar is included among the top collaborators of Mohammad Janbozorgi 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 Janbozorgi. Mohammad Janbozorgi 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.
Janbozorgi, Mohammad, et al.. (2020). Performance of an Isobaric Hybrid Compressed Air Energy Storage System at Minimum Entropy Generation. Journal of Energy Resources Technology. 142(5). 7 indexed citations
2.
Janbozorgi, Mohammad, et al.. (2018). Thermodynamic performance and cost optimization of a novel hybrid thermal-compressed air energy storage system design. Journal of Energy Storage. 18. 206–217. 67 indexed citations
3.
Janbozorgi, Mohammad, et al.. (2018). Theoretical Performance Limits of an Isobaric Hybrid Compressed Air Energy Storage System. Journal of Energy Resources Technology. 140(10). 13 indexed citations
4.
Beretta, Gian Paolo, et al.. (2018). Systematic Constraint Selection Strategy for Rate-Controlled Constrained-Equilibrium Modeling of Complex Nonequilibrium Chemical Kinetics. Journal of Non-Equilibrium Thermodynamics. 43(2). 121–130. 5 indexed citations
5.
Janbozorgi, Mohammad & Hai Wang. (2018). Bottom-up modeling using the rate-controlled constrained-equilibrium theory: The n-butane combustion chemistry. Combustion and Flame. 194. 223–232. 2 indexed citations
6.
Janbozorgi, Mohammad, et al.. (2017). Thermodynamic analysis of a high temperature hybrid compressed air energy storage (HTH-CAES) system. Renewable Energy. 115. 1043–1054. 110 indexed citations
7.
Janbozorgi, Mohammad, et al.. (2016). A Study of Interactions between Mixing and Chemical Reaction Using the Rate-Controlled Constrained-Equilibrium Method. Journal of Non-Equilibrium Thermodynamics. 41(4). 17 indexed citations
8.
Beretta, Gian Paolo, Mohammad Janbozorgi, & Hameed Metghalchi. (2016). Degree of Disequilibrium analysis for automatic selection of kinetic constraints in the Rate-Controlled Constrained-Equilibrium method. Combustion and Flame. 168. 342–364. 23 indexed citations
9.
Askari, Omid, et al.. (2015). Developing alternative approaches to predicting the laminar burning speed of refrigerants using the minimum ignition energy. Science and Technology for the Built Environment. 21(2). 220–227. 17 indexed citations
10.
Janbozorgi, Mohammad, et al.. (2014). Constrained-Equilibrium Modeling of Methane Oxidation in Air. Journal of Energy Resources Technology. 136(3). 13 indexed citations
11.
Namjooyan, Foroogh, et al.. (2014). Uses of Complementary and Alternative Medicine in Multiple Sclerosis. Journal of Traditional and Complementary Medicine. 4(3). 145–152. 31 indexed citations
12.
Janbozorgi, Mohammad, M. Reza H. Sheikhi, & Hameed Metghalchi. (2013). Principle of Detailed Balance and the Second Law of Thermodynamics in Chemical Kinetics. Journal of Energy Resources Technology. 135(4). 6 indexed citations
13.
Beretta, Gian Paolo, Mohammad Janbozorgi, Hameed Metghalchi, & James C. Keck. (2012). The Rate-Controlled Constrained-Equilibrium Approach to Far-From-Local-Equilibrium Thermodynamics. DSpace@MIT (Massachusetts Institute of Technology). 25 indexed citations
14.
Janbozorgi, Mohammad & Hameed Metghalchi. (2012). Rate-Controlled Constrained-Equilibrium Modeling of H/O Reacting Nozzle Flow. Journal of Propulsion and Power. 28(4). 677–684. 19 indexed citations
15.
Beretta, Gian Paolo, James C. Keck, Mohammad Janbozorgi, & Hameed Metghalchi. (2012). The Rate-Controlled Constrained-Equilibrium Approach to Far-From-Local-Equilibrium Thermodynamics. Entropy. 14(2). 92–130. 41 indexed citations
16.
Sheikhi, M. Reza H., et al.. (2010). Entropy Transport Equation in Large Eddy Simulation for Exergy Analysis of Turbulent Combustion Systems. Entropy. 12(3). 434–444. 25 indexed citations
17.
18.
Janbozorgi, Mohammad, et al.. (2009). Combustion modeling of mono-carbon fuels using the rate-controlled constrained-equilibrium method. Combustion and Flame. 156(10). 1871–1885. 51 indexed citations
19.
Janbozorgi, Mohammad, et al.. (2008). Rate Controlled Constrained-Equilibrium (RCCE) Method Applied to Di-Methyl Ether (DME) Combustion. 133–138. 1 indexed citations
20.
Janbozorgi, Mohammad, et al.. (2006). Rate-Controlled Constrained-Equilibrium Calculations of Ethanol-Oxygen Mixture. 305–314. 6 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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