M. Farsi

2.4k total citations
128 papers, 1.7k citations indexed

About

M. Farsi is a scholar working on Catalysis, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, M. Farsi has authored 128 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Catalysis, 53 papers in Mechanical Engineering and 45 papers in Materials Chemistry. Recurrent topics in M. Farsi's work include Catalysts for Methane Reforming (47 papers), Catalytic Processes in Materials Science (41 papers) and Catalysis and Oxidation Reactions (25 papers). M. Farsi is often cited by papers focused on Catalysts for Methane Reforming (47 papers), Catalytic Processes in Materials Science (41 papers) and Catalysis and Oxidation Reactions (25 papers). M. Farsi collaborates with scholars based in Iran, United Kingdom and United States. M. Farsi's co-authors include Mohammad Reza Rahimpour, A. Jahanmiri, Parviz Ghadimi, Parisa Biniaz, Reza Eslamloueyan, Maryam Meshksar, Peyman Keshavarz, Hossain Ghahraloud, Mohammad Hasan Khademi and Abdolhossein Jahanmiri and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Hydrogen Energy and Fuel.

In The Last Decade

M. Farsi

120 papers receiving 1.7k citations

Peers

M. Farsi

CATAL

A. Jahanmiri Iran

Mohammad Amin Sobati Iran

Juhani Aittamaa Finland

Nimir O. Elbashir Qatar

Reza Eslamloueyan Iran

Shahrokh Shahhosseini Iran

George M. Bollas United States

Jinwen Chen Canada

Wenlong Jia China

Niket S. Kaisare India

A. Jahanmiri Iran

M. Farsi

1.0k ×1.3

CATAL

810 ×1.3

573 ×1.0

628 ×1.7

138 ×0.5

Citations per year, relative to M. Farsi M. Farsi (= 1×) peers A. Jahanmiri

Countries citing papers authored by M. Farsi

Since Specialization

Citations

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

Fields of papers citing papers by M. Farsi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Farsi

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

All Works

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20 of 20 papers shown

Farsi, M., et al.. (2024). Role of promoter on the catalytic activity of novel hollow bimetallic Ni–Co/Al2O3 catalyst in the dry reforming of methane process: Optimization using response surface methodology. Journal of the Energy Institute. 113. 101524–101524. 12 indexed citations

Binazadeh, Mojtaba, et al.. (2024). Optimization of C5+ production by CO2 recycle at an integrated Tri-reforming and Fischer-Tropsch process. Renewable Energy. 237. 121794–121794.

Farsi, M., et al.. (2024). Machine learning opportunities for integrated polarization sensing and communication in optical fibers. Optical Fiber Technology. 90. 104047–104047. 1 indexed citations

Meshksar, Maryam, et al.. (2023). Response surface methodology for optimizing the activity of bimetallic Ni–Co–Ce/Al2O3 catalysts in the steam methane reforming. Journal of the Energy Institute. 110. 101363–101363. 10 indexed citations

Rahimpour, Mohammad Reza, et al.. (2023). Techno-economic and environmental assessment of CO2 conversion to methanol: Direct versus indirect conversion routes. Chemical Engineering and Processing - Process Intensification. 184. 109264–109264. 18 indexed citations

Farsi, M.. (2023). Multistate UAV system reliability modelling and analysis with a random mission plan. SHILAP Revista de lepidopterología. 7(3). 1–12. 1 indexed citations

Farsi, M., et al.. (2023). Optimization of hydrogen production by steam methane reforming over Y-promoted Ni/Al2O3 catalyst using response surface methodology. Journal of the Energy Institute. 108. 101208–101208. 34 indexed citations

Hafizi, A., M. Farsi, & Morteza Esfandyari. (2023). Mathematical simulation and optimization of xylene isomerization reactor to enhance p‐xylene production. International Journal of Chemical Kinetics. 55(10). 653–661.

Farsi, M., et al.. (2023). The effect of CO2 feeding on syngas quality in autothermal reforming of methane over Ni-Al2O3 catalyst: possibility of CO2 conversion to hydrogen. Reaction Kinetics Mechanisms and Catalysis. 136(2). 671–687. 7 indexed citations

10.

Meshksar, Maryam, M. Farsi, & Mohammad Reza Rahimpour. (2023). Hydrogen production by steam reforming of methane over hollow, bulk, and co-precipitated Ni–Ce–Al2O3 catalysts: Optimization via design of experiments. Journal of the Energy Institute. 110. 101344–101344. 12 indexed citations

11.

Farsi, M., et al.. (2020). Simulation of direct chlorination of ethylene in a two-phase reactor by coupling equilibrium, kinetic and population balance models. Chemical Product and Process Modeling. 16(4). 331–343. 3 indexed citations

12.

Karimi, Nima, et al.. (2020). System Design and Analysis of Launch Abort System of Manned Spacecraft in Sub-Orbital Mission. SHILAP Revista de lepidopterología. 13(1). 13–23.

13.

Farsi, M., et al.. (2019). Dehydration of crude oil by cellulose-based demulsifiers: statistical modeling, sensitivity analysis and optimization. Petroleum Science and Technology. 37(20). 2134–2141. 8 indexed citations

14.

Ghahraloud, Hossain, M. Farsi, & Mohammad Reza Rahimpour. (2018). Modification of Claus Sulfur Recovery Unit by Isothermal Reactors to Decrease Sulfur Contaminant Emission: Process Modeling and Optimization. Chemical Product and Process Modeling. 14(2). 2 indexed citations

15.

Farsi, M., et al.. (2017). Simulation and Dynamic Optimization of an Industrial Naphtha Thermal Cracking Furnace Based on Time Variant Feeding Policy. Chemical Product and Process Modeling. 13(2). 5 indexed citations

16.

Farsi, M., et al.. (2016). Multi-Objective Optimization Approach to Enhance Ethylbenzene Dehydrogenation in the Multi-Stage Spherical Reactors. Periodica Polytechnica Chemical Engineering. 60(3). 201–209. 5 indexed citations

17.

Farsi, M., et al.. (2015). Reliability Assessment of Multi-State System Based-On Fault Tree Analysis. 15(1). 257–266. 1 indexed citations

18.

Farsi, M., et al.. (2011). Steady State Operability Characteristics of an Adiabatic Fixed-Bed Reactor for Methanol Dehydration. Iranian Journal of Chemistry & Chemical Engineering-international English Edition. 30(460). 45–50. 2 indexed citations

19.

Farsi, M. & Abdolhossein Jahanmiri. (2011). Enhancement of DME Production in an Optimized Membrane Isothermal Fixed-Bed Reactor. International Journal of Chemical Reactor Engineering. 9(1). 13 indexed citations

20.

Farsi, M., Abdolhossein Jahanmiri, & Reza Eslamloueyan. (2010). Modeling and Optimization of MeOH to DME in Isothermal Fixed-bed Reactor. International Journal of Chemical Reactor Engineering. 8(1). 28 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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