Mohammad Ehsan Hamzehie

413 total citations
13 papers, 376 citations indexed

About

Mohammad Ehsan Hamzehie is a scholar working on Mechanical Engineering, Biomedical Engineering and Catalysis. According to data from OpenAlex, Mohammad Ehsan Hamzehie has authored 13 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Mechanical Engineering, 9 papers in Biomedical Engineering and 4 papers in Catalysis. Recurrent topics in Mohammad Ehsan Hamzehie's work include Carbon Dioxide Capture Technologies (9 papers), Phase Equilibria and Thermodynamics (9 papers) and Ionic liquids properties and applications (4 papers). Mohammad Ehsan Hamzehie is often cited by papers focused on Carbon Dioxide Capture Technologies (9 papers), Phase Equilibria and Thermodynamics (9 papers) and Ionic liquids properties and applications (4 papers). Mohammad Ehsan Hamzehie collaborates with scholars based in Iran, Belgium and Australia. Mohammad Ehsan Hamzehie's co-authors include Hesam Najibi, Saeed Mazinani, Bart Van der Bruggen, Mehdi Fattahi, Siavash Darvishmanesh, Amir Mokhtare, Dariush Bastani, Alireza Baghban, Tom Van Gerven and Moslem Fattahi and has published in prestigious journals such as Renewable Energy, RSC Advances and Thermochimica Acta.

In The Last Decade

Mohammad Ehsan Hamzehie

13 papers receiving 367 citations

Peers

Mohammad Ehsan Hamzehie
Adrien Gomez France
Simon Piché Canada
Morteza Afkhamipour Iran
David Van Wagener United States
Thibaut Neveux France
Marcin Stec Poland
L. Więcław‐Solny Poland
Philippe Navarri Canada
Vahid Akbari Malaysia
Stefano Langé Italy
Adrien Gomez France
Mohammad Ehsan Hamzehie
Citations per year, relative to Mohammad Ehsan Hamzehie Mohammad Ehsan Hamzehie (= 1×) peers Adrien Gomez

Countries citing papers authored by Mohammad Ehsan Hamzehie

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Ehsan Hamzehie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Ehsan Hamzehie

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

All Works

13 of 13 papers shown
1.
Baghban, Alireza, et al.. (2019). Phase behavior modeling of asphaltene precipitation utilizing RBF-ANN approach. Petroleum Science and Technology. 37(16). 1861–1867. 26 indexed citations
2.
3.
Hamzehie, Mohammad Ehsan & Hesam Najibi. (2016). Carbon dioxide absorption in aqueous solution of potassium glycinate + 2-amino-2-methyl-1-propanol as new absorbents. RSC Advances. 6(67). 62612–62623. 14 indexed citations
4.
Hamzehie, Mohammad Ehsan & Hesam Najibi. (2016). Prediction of acid gas solubility in amine, ionic liquid and amino acid salt solutions using artificial neural network and evaluating with new experimental measurements. Journal of Natural Gas Science and Engineering. 29. 252–263. 23 indexed citations
5.
Hamzehie, Mohammad Ehsan & Hesam Najibi. (2016). CO 2 solubility in aqueous solutions of potassium prolinate and (potassium prolinate + 2-amino-2-methyl-1-propanol) as new absorbents. Journal of Natural Gas Science and Engineering. 34. 356–365. 19 indexed citations
6.
Hamzehie, Mohammad Ehsan & Hesam Najibi. (2016). Carbon dioxide loading capacity in aqueous solution of Potassium salt of Proline blended with Piperazine as new absorbents. Thermochimica Acta. 639. 66–75. 12 indexed citations
7.
Hamzehie, Mohammad Ehsan & Hesam Najibi. (2016). Experimental and theoretical study of carbon dioxide solubility in aqueous solution of potassium glycinate blended with piperazine as new absorbents. Journal of CO2 Utilization. 16. 64–77. 42 indexed citations
8.
9.
Hamzehie, Mohammad Ehsan, Mehdi Fattahi, Hesam Najibi, Bart Van der Bruggen, & Saeed Mazinani. (2015). Application of artificial neural networks for estimation of solubility of acid gases (H2S and CO2) in 32 commonly ionic liquid and amine solutions. Journal of Natural Gas Science and Engineering. 24. 106–114. 71 indexed citations
10.
Hamzehie, Mohammad Ehsan & Hesam Najibi. (2015). Prediction of carbon dioxide loading capacity in amino acid salt solutions as new absorbents using artificial neural network and Deshmukh–Mather models. Journal of Natural Gas Science and Engineering. 27. 676–685. 20 indexed citations
11.
Hamzehie, Mohammad Ehsan, Saeed Mazinani, Amir Mokhtare, et al.. (2014). Developing a feed forward multilayer neural network model for prediction of CO2 solubility in blended aqueous amine solutions. Journal of Natural Gas Science and Engineering. 21. 19–25. 68 indexed citations
12.
Hamzehie, Mohammad Ehsan, Hesam Najibi, Mohammad Soleimani, et al.. (2014). Thermal Conductivity Prediction of Pure Liquids Using Multi-Layer Perceptron Neural Network. Journal of Thermophysics and Heat Transfer. 29(1). 197–202. 17 indexed citations
13.
Bastani, Dariush, et al.. (2013). Prediction of CO2 loading capacity of chemical absorbents using a multi-layer perceptron neural network. Fluid Phase Equilibria. 354. 6–11. 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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