Azam Vafaei
About
Azam Vafaei is a scholar working on Water Science and Technology, Analytical Chemistry and Industrial and Manufacturing Engineering.
According to data from OpenAlex, Azam Vafaei has authored 27 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Water Science and Technology, 14 papers in Analytical Chemistry and 9 papers in Industrial and Manufacturing Engineering. Recurrent topics in Azam Vafaei's work include Adsorption and biosorption for pollutant removal (15 papers), Dye analysis and toxicity (12 papers) and Water Quality Monitoring and Analysis (9 papers). Azam Vafaei is often cited by papers focused on Adsorption and biosorption for pollutant removal (15 papers), Dye analysis and toxicity (12 papers) and Water Quality Monitoring and Analysis (9 papers). Azam Vafaei collaborates with scholars based in Iran, Malaysia and India. Azam Vafaei's co-authors include A.M. Ghaedi, Mehrorang Ghaedi, Amin Ansari, Mohammad Mehdi Baneshi, Mehrorang Ghaedi, Vinod Kumar Gupta, Inderjeet Tyagi, Mohammad Panahimehr, Maryam Rajabi and Seyed Javad Hosseini and has published in prestigious journals such as Advances in Colloid and Interface Science, Applied Surface Science and Environmental Research.
In The Last Decade
Azam Vafaei
26 papers receiving 1.4k citations
Peers
Azam Vafaei
Shikha Sharma India
S. Pattabhi India
Alexandro M.M. Vargas Brazil
Muhammad Javid Iqbal Pakistan
Abdellah Lacherai Morocco
Saja Mohsen Alardhi Iraq
Aseel M. Aljeboree Iraq
Nour T. Abdel‐Ghani Egypt
Jonghun Han United States
Huizhou Liu China
Citations per year, relative to Azam Vafaei Azam Vafaei (= 1×)
peers
Shikha Sharma
Countries citing papers authored by Azam Vafaei
Since
Specialization
Citations
This map shows the geographic impact of Azam Vafaei'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 Azam Vafaei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Azam Vafaei more than expected).
Fields of papers citing papers by Azam Vafaei
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Azam Vafaei. 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 Azam Vafaei. The network helps show where Azam Vafaei may publish in the future.
Co-authorship network of co-authors of Azam Vafaei
This figure shows the co-authorship network connecting the top 25 collaborators of Azam Vafaei. A scholar is included among the top collaborators of Azam Vafaei 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 Azam Vafaei. Azam Vafaei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Baneshi, Mohammad Mehdi, A.M. Ghaedi, Azam Vafaei, et al.. (2020). A high-flux P84 polyimide mixed matrix membranes incorporated with cadmium-based metal organic frameworks for enhanced simultaneous dyes removal: Response surface methodology. Environmental Research. 183. 109278–109278.
2.
Marioryad, Hossein, A.M. Ghaedi, Daryoush Emadzadeh, et al.. (2020). A Thin Film Nanocomposite Reverse Osmosis Membrane Incorporated with S‐Beta Zeolite Nanoparticles for Water Desalination. ChemistrySelect. 5(6). 1972–1975.
3.
Vafaei, Azam, et al.. (2020). Removal of hydrochlorothiazide from molecular liquids using carbon nanotubes: Radial basis function neural network modeling and culture algorithm optimization. Journal of Molecular Liquids. 324. 114766–114766.
4.
Ghaedi, A.M., et al.. (2018). Optimization and modeling of simultaneous ultrasound-assisted adsorption of ternary dyes using copper oxide nanoparticles immobilized on activated carbon using response surface methodology and artificial neural network. Ultrasonics Sonochemistry. 51. 264–280.
5.
Ghaedi, A.M., et al.. (2018). Rapid room-temperature synthesis of cadmium zeolitic imidazolate framework nanoparticles based on 1,1′-carbonyldiimidazole as ultra-high-efficiency adsorbent for ultrasound-assisted removal of malachite green dye. Applied Surface Science. 467-468. 1204–1212.
6.
Ghaedi, A.M., Mohammad Mehdi Baneshi, Azam Vafaei, et al.. (2018). Comparison of multiple linear regression and group method of data handling models for predicting sunset yellow dye removal onto activated carbon from oak tree wood. Environmental Technology & Innovation. 11. 262–275.
7.
Ghaedi, A.M., et al.. (2018). Factorial experimental design for the optimization of highly selective adsorption removal of lead and copper ions using metal organic framework MOF-2 (Cd). Journal of Molecular Liquids. 272. 15–26.
8.
Ghaedi, A.M., et al.. (2017). Application of artificial neural network for comparison and modeling of the ultrasonic and stirrer assisted removal of anionic dye using activated carbon supported with nanostructure material. Applied Organometallic Chemistry. 32(2).
9.
Ghaedi, A.M. & Azam Vafaei. (2017). Applications of artificial neural networks for adsorption removal of dyes from aqueous solution: A review. Advances in Colloid and Interface Science. 245. 20–39.
10.
Mehrabi, Fatemeh, Azam Vafaei, Mehrorang Ghaedi, et al.. (2016). Ultrasound assisted extraction of Maxilon Red GRL dye from water samples using cobalt ferrite nanoparticles loaded on activated carbon as sorbent: Optimization and modeling. Ultrasonics Sonochemistry. 38. 672–680.
11.
Ghaedi, A.M., Mehrorang Ghaedi, Abdolrasoul Pouranfard, et al.. (2016). Adsorption of Triamterene on multi-walled and single-walled carbon nanotubes: Artificial neural network modeling and genetic algorithm optimization. Journal of Molecular Liquids. 216. 654–665.
12.
Ghaedi, Mehrorang, Amin Ansari, A.M. Ghaedi, et al.. (2015). A random forest approach for predicting the removal of Congo red from aqueous solutions by adsorption onto tin sulfide nanoparticles loaded on activated carbon. Desalination and Water Treatment. 57(20). 9272–9285.
13.
Ghaedi, Mehrorang, et al.. (2014). A hybrid artificial neural network and particle swarm optimization for prediction of removal of hazardous dye brilliant green from aqueous solution using zinc sulfide nanoparticle loaded on activated carbon. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 137. 1004–1015.
14.
Ghaedi, Mehrorang, et al.. (2014). Adaptive neuro-fuzzy inference system model for adsorption of 1,3,4-thiadiazole-2,5-dithiol onto gold nanoparticales-activated carbon. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 131. 606–614.
15.
Ghaedi, Mehrorang, A.M. Ghaedi, Amin Ansari, Fatemeh Mohammadi, & Azam Vafaei. (2014). Artificial neural network and particle swarm optimization for removal of methyl orange by gold nanoparticles loaded on activated carbon and Tamarisk. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 132. 639–654.
16.
Ansari, Amin, et al.. (2014). Artificial neural network and Bees Algorithm for removal of Eosin B using Cobalt Oxide Nanoparticle‐activated carbon: Isotherm and Kinetics study. Environmental Progress & Sustainable Energy. 34(1). 155–168.
17.
Azar, Parviz Aberoomand, et al.. (2013). Chemical Composition of Essential Oil of Stachys pilifera Benth by Hydrodistillation, Head Space-Solid Phase Microextraction and Solvent Free Microwave Extraction Methods and QSRR Evaluation. Asian Journal of Chemistry. 25(8). 4242–4246.
18.
Ghaedi, Mehrorang, et al.. (2013). Principal component analysis- adaptive neuro-fuzzy inference system modeling and genetic algorithm optimization of adsorption of methylene blue by activated carbon derived from Pistacia khinjuk. Ecotoxicology and Environmental Safety. 96. 110–117.
19.
Ghaedi, A.M., et al.. (2012). Fuzzy modelling of concentration in chamomile solution using reverse osmosis.. Fresenius environmental bulletin. 21(3). 634–643.
20.
Ghaedi, A.M., et al.. (2011). Prediction Of Kinematic Viscosity Of Binary Mixture Of Poly (Ethylene Glycol) In Water Using Artificial Neural Networks. Zenodo (CERN European Organization for Nuclear Research).
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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