Amir Dashti

2.6k total citations · 1 hit paper
43 papers, 2.1k citations indexed

About

Amir Dashti is a scholar working on Mechanical Engineering, Biomedical Engineering and Water Science and Technology. According to data from OpenAlex, Amir Dashti has authored 43 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Mechanical Engineering, 22 papers in Biomedical Engineering and 11 papers in Water Science and Technology. Recurrent topics in Amir Dashti's work include Phase Equilibria and Thermodynamics (16 papers), Carbon Dioxide Capture Technologies (15 papers) and Membrane Separation and Gas Transport (8 papers). Amir Dashti is often cited by papers focused on Phase Equilibria and Thermodynamics (16 papers), Carbon Dioxide Capture Technologies (15 papers) and Membrane Separation and Gas Transport (8 papers). Amir Dashti collaborates with scholars based in Iran, South Africa and Australia. Amir Dashti's co-authors include Morteza Asghari, Mashallah Rezakazemi, Amir H. Mohammadi, Mojtaba Raji, Saeed Shirazian, Hossein Riasat Harami, Farid Amirkhani, Amir Reza Razmi, John L. Zhou and Inamuddin Inamuddin and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Chemosphere.

In The Last Decade

Amir Dashti

42 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Review on Chitin and Chitosan Polymers: Structure, Chemistry, Solubility, Derivatives, and Applications

2015 673 citations Morteza Asghari, Amir Dashti et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amir Dashti Iran	23	681	634	386	374	368	43	2.1k
Masita Mohammad Malaysia	24	804 1.2×	658 1.0×	289 0.7×	256 0.7×	592 1.6×	77	2.8k
Hasan Sh. Majdi Iraq	33	653 1.0×	1.0k 1.6×	251 0.7×	621 1.7×	623 1.7×	244	3.4k
Shishir Sinha India	29	330 0.5×	639 1.0×	556 1.4×	248 0.7×	402 1.1×	132	2.8k
Ali H. Al‐Marzouqi United Arab Emirates	28	1.1k 1.5×	398 0.6×	474 1.2×	216 0.6×	297 0.8×	120	2.7k
Hao Li China	30	1.8k 2.6×	461 0.7×	730 1.9×	378 1.0×	427 1.2×	158	3.5k
Naveed Ramzan Pakistan	22	1.0k 1.5×	354 0.6×	138 0.4×	228 0.6×	532 1.4×	102	2.1k
Ahmad Mukhtar Pakistan	32	1.1k 1.6×	1.2k 1.9×	142 0.4×	300 0.8×	719 2.0×	84	2.7k
Nazia Hossain Australia	30	1.4k 2.0×	587 0.9×	177 0.5×	396 1.1×	510 1.4×	118	3.1k
Ricardo Antônio Francisco Machado Brazil	34	1.3k 1.9×	461 0.7×	491 1.3×	604 1.6×	762 2.1×	189	3.4k
Bing Song China	30	935 1.4×	290 0.5×	134 0.3×	490 1.3×	373 1.0×	96	2.4k

Countries citing papers authored by Amir Dashti

Since Specialization

Citations

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

Fields of papers citing papers by Amir Dashti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Dashti

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Dashti. A scholar is included among the top collaborators of Amir Dashti 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 Amir Dashti. Amir Dashti 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

Dashti, Amir, Farid Amirkhani, Mojtaba Raji, et al.. (2026). Review and development of an explicit machine learning model for pollutant gas solubility in ionic liquids as green solvents. Separation and Purification Technology. 393. 137282–137282.

Hosseinzadeh, Ahmad, et al.. (2025). Machine learning modeling of microplastics removal by coagulation in water and wastewater treatment. Journal of Water Process Engineering. 76. 108108–108108. 1 indexed citations

Amirkhani, Farid, Amir Dashti, Hossein Abedsoltan, et al.. (2024). Modeling and estimation of CO2 capture by porous liquids through machine learning. Separation and Purification Technology. 359. 130445–130445. 5 indexed citations

Navidpour, Amir Hossein, Javad Safaei, Md Abu Hasan Johir, et al.. (2024). Zinc oxide@citric acid-modified graphitic carbon nitride nanocomposites for adsorption and photocatalytic degradation of perfluorooctanoic acid. Advanced Composites and Hybrid Materials. 7(2). 33 indexed citations

Dashti, Amir, Amir Hossein Navidpour, Farid Amirkhani, John L. Zhou, & Ali Altaee. (2024). Application of machine learning models to improve the prediction of pesticide photodegradation in water by ZnO-based photocatalysts. Chemosphere. 362. 142792–142792. 25 indexed citations

Dashti, Amir, Mojtaba Raji, Hossein Riasat Harami, John L. Zhou, & Morteza Asghari. (2023). Biochar performance evaluation for heavy metals removal from industrial wastewater based on machine learning: Application for environmental protection. Separation and Purification Technology. 312. 123399–123399. 51 indexed citations

Amirkhani, Farid, Amir Dashti, Mojtaba Jokar, et al.. (2023). Estimation of CO2 solubility in aqueous solutions of commonly used blended amines: Application to optimised greenhouse gas capture. Journal of Cleaner Production. 430. 139435–139435. 7 indexed citations

Raji, Mojtaba, Amir Dashti, Masood S. Alivand, & Morteza Asghari. (2022). Novel prosperous computational estimations for greenhouse gas adsorptive control by zeolites using machine learning methods. Journal of Environmental Management. 307. 114478–114478. 22 indexed citations

Raji, Mojtaba, Amir Dashti, Samira Ghafoori, Alireza Bahadori, & Kwok‐wing Chau. (2022). Estimating mutual solubility of a CO₂ in NaCl aqueous solution system using connectionist approaches. Petroleum Science and Technology. 40(20). 2429–2449. 4 indexed citations

10.

Lay, Ebrahim Nemati, Amir Dashti, Amir H. Mohammadi, et al.. (2022). Insights into modelling and evaluation of thermodynamic and transport properties of refrigerants using machine-learning methods. Energy. 262. 125099–125099. 9 indexed citations

11.

Dashti, Amir, et al.. (2021). Evaluation of CO₂ Absorption by Amino Acid Salt Aqueous Solution Using Hybrid Soft Computing Methods. ACS Omega. 6(19). 12459–12469. 12 indexed citations

12.

Dashti, Amir, et al.. (2020). Computational Simulation of CO2 Sorption in Polymeric Membranes Using Genetic Programming. Arabian Journal for Science and Engineering. 45(9). 7655–7666. 5 indexed citations

13.

Dashti, Amir, et al.. (2020). Estimation of CO2 adsorption in high capacity metal−organic frameworks: Applications to greenhouse gas control. Journal of CO2 Utilization. 41. 101256–101256. 39 indexed citations

14.

Dashti, Amir, Mojtaba Raji, Amir Reza Razmi, et al.. (2019). Efficient hybrid modeling of CO2 absorption in aqueous solution of piperazine: Applications to energy and environment. Process Safety and Environmental Protection. 144. 405–417. 64 indexed citations

15.

Dashti, Amir, et al.. (2019). Estimation of biomass higher heating value (HHV) based on the proximate analysis: Smart modeling and correlation. Fuel. 257. 115931–115931. 78 indexed citations

16.

Dashti, Amir, et al.. (2018). Rigorous prognostication and modeling of gas adsorption on activated carbon and Zeolite-5A. Journal of Environmental Management. 224. 58–68. 31 indexed citations

17.

Dashti, Amir, et al.. (2018). Modeling of CaCl2 removal by positively charged polysulfone-based nanofiltration membrane using artificial neural network and genetic programming. Desalination and Water Treatment. 111. 57–67. 10 indexed citations

18.

Dashti, Amir, Hossein Riasat Harami, Mashallah Rezakazemi, & Saeed Shirazian. (2018). Estimating CH4 and CO2 solubilities in ionic liquids using computational intelligence approaches. Journal of Molecular Liquids. 271. 661–669. 65 indexed citations

19.

Dashti, Amir, Morteza Asghari, Mostafa Dehghani, et al.. (2018). Molecular dynamics, grand canonical Monte Carlo and expert simulations and modeling of water–acetic acid pervaporation using polyvinyl alcohol/tetraethyl orthosilicates membrane. Journal of Molecular Liquids. 265. 53–68. 44 indexed citations

20.

Eshaghi, Akbar, et al.. (2011). Photo-induced superhydrophilicity of nanocomposite TiO2-SiO2 thin film. Materials Science-Poland. 29(1). 22–28. 12 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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