A.M. Ghaedi

4.3k total citations
72 papers, 3.8k citations indexed

About

A.M. Ghaedi is a scholar working on Water Science and Technology, Analytical Chemistry and Industrial and Manufacturing Engineering. According to data from OpenAlex, A.M. Ghaedi has authored 72 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Water Science and Technology, 28 papers in Analytical Chemistry and 21 papers in Industrial and Manufacturing Engineering. Recurrent topics in A.M. Ghaedi's work include Adsorption and biosorption for pollutant removal (35 papers), Dye analysis and toxicity (21 papers) and Water Quality Monitoring and Analysis (20 papers). A.M. Ghaedi is often cited by papers focused on Adsorption and biosorption for pollutant removal (35 papers), Dye analysis and toxicity (21 papers) and Water Quality Monitoring and Analysis (20 papers). A.M. Ghaedi collaborates with scholars based in Iran, India and Saudi Arabia. A.M. Ghaedi's co-authors include Mehrorang Ghaedi, Azam Vafaei, Arash Asfaram, Amin Ansari, Ebrahim Alipanahpour Dil, Mehrorang Ghaedi, Vinod Kumar Gupta, Shaaker Hajati, Alireza Goudarzi and Shilpi Agarwal and has published in prestigious journals such as Journal of Colloid and Interface Science, Physical Chemistry Chemical Physics and Advances in Colloid and Interface Science.

In The Last Decade

A.M. Ghaedi

71 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A.M. Ghaedi Iran 37 2.3k 976 737 722 710 72 3.8k
Alireza Goudarzi Iran 32 2.1k 0.9× 1.0k 1.1× 905 1.2× 517 0.7× 1.0k 1.5× 44 4.1k
Jordana Georgin Brazil 41 3.1k 1.4× 1.1k 1.1× 946 1.3× 695 1.0× 941 1.3× 177 4.7k
Noureddine El Messaoudi Morocco 41 2.0k 0.9× 1.1k 1.1× 758 1.0× 524 0.7× 510 0.7× 96 3.4k
Dison S.P. Franco Brazil 43 3.2k 1.4× 1.1k 1.1× 1.0k 1.4× 721 1.0× 941 1.3× 167 4.9k
Nani Indraswati Indonesia 20 2.6k 1.1× 738 0.8× 664 0.9× 639 0.9× 484 0.7× 38 4.2k
Rais Ahmad India 39 3.9k 1.7× 1.5k 1.6× 927 1.3× 754 1.0× 828 1.2× 89 5.5k
Yahya S. Al‐Degs Jordan 31 2.9k 1.3× 1.1k 1.1× 912 1.2× 752 1.0× 1.4k 2.0× 99 5.1k
Ramalingam Subramaniam United States 22 2.3k 1.0× 794 0.8× 467 0.6× 566 0.8× 482 0.7× 37 3.5k
Seung Han Woo South Korea 40 3.0k 1.3× 1.3k 1.4× 1.2k 1.6× 935 1.3× 649 0.9× 106 5.7k
Hamedreza Javadian Iran 34 1.4k 0.6× 651 0.7× 756 1.0× 371 0.5× 450 0.6× 83 3.1k

Countries citing papers authored by A.M. Ghaedi

Since Specialization
Citations

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

Fields of papers citing papers by A.M. Ghaedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A.M. Ghaedi

This figure shows the co-authorship network connecting the top 25 collaborators of A.M. Ghaedi. A scholar is included among the top collaborators of A.M. Ghaedi 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 A.M. Ghaedi. A.M. Ghaedi 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
2.
Ghaedi, A.M., Safieh Ebrahimi, Mahnaz Bayat, et al.. (2023). The association of subacute thyroiditis with viral diseases: a comprehensive review of literature. Przeglad Epidemiologiczny. 77(2). 136–145. 2 indexed citations
3.
4.
Ghaedi, A.M., et al.. (2021). Influence of donor–acceptor groups on the electrical and optical properties of C50 fullerene. Journal of Molecular Modeling. 28(1). 7–7. 4 indexed citations
7.
Kiarostami, Vahid, et al.. (2017). Optimization of Solvent Terminated Dispersive Liquid–Liquid Microextraction of Copper Ions in Water and Food Samples Using Artificial Neural Networks Coupled Bees Algorithm. Bulletin of Environmental Contamination and Toxicology. 100(3). 402–408. 22 indexed citations
9.
Dil, Ebrahim Alipanahpour, Mehrorang Ghaedi, Arash Asfaram, et al.. (2016). Trace determination of safranin O dye using ultrasound assisted dispersive solid-phase micro extraction: Artificial neural network-genetic algorithm and response surface methodology. Ultrasonics Sonochemistry. 33. 129–140. 87 indexed citations
10.
Jamshidi, Mahdi, Mehrorang Ghaedi, Kheibar Dashtian, et al.. (2015). Highly efficient simultaneous ultrasonic assisted adsorption of brilliant green and eosin B onto ZnS nanoparticles loaded activated carbon: Artificial neural network modeling and central composite design optimization. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 153. 257–267. 176 indexed citations
11.
Ghaedi, Mehrorang, et al.. (2015). Isotherm and kinetics study of malachite green adsorption onto copper nanowires loaded on activated carbon: Artificial neural network modeling and genetic algorithm optimization. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 142. 135–149. 112 indexed citations
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. 127 indexed citations
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. 55 indexed citations
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. 71 indexed citations
16.
Ghaedi, A.M., et al.. (2014). Comparison of ultrasonic with stirrer performance for removal of sunset yellow (SY) by activated carbon prepared from wood of orange tree: Artificial neural network modeling. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 138. 789–799. 48 indexed citations
17.
Keshavarz, Mosadegh, et al.. (2013). [bmim]BF4/[Cu(Im12)2]CuCl2 as a novel catalytic reaction medium for click cyclization. Comptes Rendus Chimie. 17(6). 570–576. 23 indexed citations
19.
Ghaedi, A.M., et al.. (2012). Fuzzy modelling of concentration in chamomile solution using reverse osmosis.. Fresenius environmental bulletin. 21(3). 634–643. 6 indexed citations
20.
Kokhdan, Syamak Nasiri, et al.. (2011). Comparison of multiwalled carbon nanotubes and activated carbon for efficient removal of methyl orange: kinetic and thermodynamic investigation.. Fresenius environmental bulletin. 20. 219–234. 27 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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