Mohammad Mesbah

1.4k total citations
28 papers, 1.1k citations indexed

About

Mohammad Mesbah is a scholar working on Mechanical Engineering, Biomedical Engineering and Catalysis. According to data from OpenAlex, Mohammad Mesbah has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Mechanical Engineering, 13 papers in Biomedical Engineering and 8 papers in Catalysis. Recurrent topics in Mohammad Mesbah's work include Carbon Dioxide Capture Technologies (13 papers), Phase Equilibria and Thermodynamics (12 papers) and Ionic liquids properties and applications (7 papers). Mohammad Mesbah is often cited by papers focused on Carbon Dioxide Capture Technologies (13 papers), Phase Equilibria and Thermodynamics (12 papers) and Ionic liquids properties and applications (7 papers). Mohammad Mesbah collaborates with scholars based in Iran, Australia and United States. Mohammad Mesbah's co-authors include Mashallah Rezakazemi, Ebrahim Soroush, Alireza Bahadori, Amin Shokrollahi, Mohammad Ali Darabi, Saeed Rashid, Milad Arabloo, Afshin Tatar, Hossein Esmaeili and Mohsen Abbasi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy & Fuels and Separation and Purification Technology.

In The Last Decade

Mohammad Mesbah

27 papers receiving 1.1k 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 Mesbah Iran 18 462 375 267 153 147 28 1.1k
Reza Soleimani Iran 19 367 0.8× 408 1.1× 109 0.4× 195 1.3× 45 0.3× 33 1.1k
Sazal Kundu Australia 23 197 0.4× 668 1.8× 154 0.6× 89 0.6× 123 0.8× 52 1.7k
Humbul Suleman Malaysia 17 542 1.2× 368 1.0× 50 0.2× 83 0.5× 216 1.5× 63 1.0k
Turgay Pekdemir Türkiye 17 339 0.7× 277 0.7× 155 0.6× 155 1.0× 98 0.7× 35 1.4k
Xiaofang You China 18 441 1.0× 325 0.9× 411 1.5× 383 2.5× 44 0.3× 60 1.2k
Abdolsamad Zarringhalam Moghaddam Iran 17 334 0.7× 253 0.7× 251 0.9× 41 0.3× 87 0.6× 39 1.0k
Samuel Eshorame Sanni Nigeria 19 305 0.7× 418 1.1× 126 0.5× 123 0.8× 31 0.2× 126 1.1k
Muhammad Babar Malaysia 18 413 0.9× 234 0.6× 171 0.6× 48 0.3× 43 0.3× 34 1.1k
Zhenyong Miao China 23 623 1.3× 726 1.9× 398 1.5× 562 3.7× 62 0.4× 112 1.8k
Yongda Huang China 24 281 0.6× 384 1.0× 82 0.3× 90 0.6× 160 1.1× 65 1.2k

Countries citing papers authored by Mohammad Mesbah

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Mesbah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Mesbah

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Mesbah. A scholar is included among the top collaborators of Mohammad Mesbah 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 Mesbah. Mohammad Mesbah 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.
Samadi, Mostafa, Mohammad Mesbah, & Sahand Majidi. (2024). A novel approach to designing compact cyclones for efficient natural gas filtration. Powder Technology. 448. 120259–120259. 1 indexed citations
2.
Mesbah, Mohammad, et al.. (2023). Production of thymol from alkylation of m-cresol with isopropanol over ZSM-5 catalysts: Artificial Neural Network (ANN) modelling. Journal of the Indian Chemical Society. 100(2). 100882–100882. 5 indexed citations
3.
Mesbah, Mohammad, et al.. (2021). Prediction bubble point pressure for CO2/CH4 gas mixtures in ionic liquids using intelligent approaches. Emergent Materials. 4(2). 565–578. 6 indexed citations
4.
5.
Mesbah, Mohammad, et al.. (2020). Developing a robust correlation for prediction of sweet and sour gas hydrate formation temperature. Petroleum. 8(2). 204–209. 17 indexed citations
6.
Mesbah, Mohammad, et al.. (2019). Rigorous correlations for predicting the solubility of H2S in methylimidazolium‐based ionic liquids. The Canadian Journal of Chemical Engineering. 98(2). 441–452. 12 indexed citations
7.
Mesbah, Mohammad, et al.. (2019). Modeling Phase Behavior of Semi-Clathrate Hydrates of CO2, CH4, and N2 in Aqueous Solution of Tetra-n-butyl Ammonium Fluoride. Journal of Non-Equilibrium Thermodynamics. 44(2). 155–167. 9 indexed citations
8.
Mesbah, Mohammad, et al.. (2019). Effective modeling methods to accurately predict the miscibility of CO2 in ionic liquids. Process Safety and Environmental Protection. 154. 262–272. 10 indexed citations
9.
Mesbah, Mohammad, Ebrahim Soroush, & Mashallah Rezakazemi. (2018). Modeling Dissociation Pressure of Semi-Clathrate Hydrate Systems Containing CO2, CH4, N2, and H2S in the Presence of Tetra-n-butyl Ammonium Bromide. Journal of Non-Equilibrium Thermodynamics. 44(1). 15–28. 17 indexed citations
10.
Mesbah, Mohammad, et al.. (2018). Theoretical study of CO2 separation from CO2/CH4 gaseous mixture using 2-methylpiperazine -promoted potassium carbonate through hollow fiber membrane contactor. Journal of environmental chemical engineering. 7(1). 102781–102781. 32 indexed citations
11.
Mesbah, Mohammad, et al.. (2018). A simple group contribution correlation for modeling the surface tension of pure ionic liquids. Journal of Molecular Liquids. 265. 292–298. 19 indexed citations
12.
Soroush, Ebrahim, et al.. (2017). A robust predictive tool for estimating CO 2 solubility in potassium based amino acid salt solutions. Chinese Journal of Chemical Engineering. 26(4). 740–746. 45 indexed citations
13.
Mesbah, Mohammad, et al.. (2017). Phase equilibrium modeling of semi-clathrate hydrates of the CO2+H2/CH4/N2+TBAB aqueous solution system. Petroleum Science and Technology. 35(15). 1588–1594. 13 indexed citations
14.
Mesbah, Mohammad, et al.. (2017). Mathematical Modeling and Numerical Simulation of CO2 Removal by Using Hollow Fiber Membrane Contactors. SHILAP Revista de lepidopterología. 6(4). 80–96. 6 indexed citations
15.
Rezakazemi, Mashallah, et al.. (2017). Membrane filtration of wastewater from gas and oil production. Environmental Chemistry Letters. 16(2). 367–388. 136 indexed citations
16.
17.
Mesbah, Mohammad, Ebrahim Soroush, & Mashallah Rezakazemi. (2016). Development of a least squares support vector machine model for prediction of natural gas hydrate formation temperature. Chinese Journal of Chemical Engineering. 25(9). 1238–1248. 53 indexed citations
18.
Mesbah, Mohammad, Ebrahim Soroush, Amin Shokrollahi, & Alireza Bahadori. (2014). Prediction of phase equilibrium of CO2/cyclic compound binary mixtures using a rigorous modeling approach. The Journal of Supercritical Fluids. 90. 110–125. 36 indexed citations
19.
Mesbah, Mohammad, et al.. (2014). Reliable Adaptive Controller for Uncertain System: An LMI Approach. Indian Journal of Science and Technology. 7(10). 1663–1673. 1 indexed citations
20.
Mesbah, Mohammad, et al.. (2014). Vapor liquid equilibrium prediction of carbon dioxide and hydrocarbon systems using LSSVM algorithm. The Journal of Supercritical Fluids. 97. 256–267. 46 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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