H. Mazaheri

709 total citations
7 papers, 627 citations indexed

About

H. Mazaheri is a scholar working on Water Science and Technology, Organic Chemistry and Industrial and Manufacturing Engineering. According to data from OpenAlex, H. Mazaheri has authored 7 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Water Science and Technology, 3 papers in Organic Chemistry and 2 papers in Industrial and Manufacturing Engineering. Recurrent topics in H. Mazaheri's work include Adsorption and biosorption for pollutant removal (4 papers), Nanomaterials for catalytic reactions (3 papers) and Mineral Processing and Grinding (1 paper). H. Mazaheri is often cited by papers focused on Adsorption and biosorption for pollutant removal (4 papers), Nanomaterials for catalytic reactions (3 papers) and Mineral Processing and Grinding (1 paper). H. Mazaheri collaborates with scholars based in Iran, India and United States. H. Mazaheri's co-authors include Mehrorang Ghaedi, Shaaker Hajati, Arash Asfaram, Mihir Kumar Purkait, Mohammad Hossein Ahmadi Azqhandi, Saeid Khodadoust, Saeed Reza Allahkaram, Kheibar Dashtian and Mohammad Habibi Parsa and has published in prestigious journals such as Physical Chemistry Chemical Physics, Applied Surface Science and RSC Advances.

In The Last Decade

H. Mazaheri

7 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H. Mazaheri Iran	6	376	167	155	110	97	7	627
Benaouda Bestanı Algeria	14	424 1.1×	157 0.9×	186 1.2×	108 1.0×	103 1.1×	32	708
Karla K. Beltrame Brazil	5	430 1.1×	150 0.9×	178 1.1×	113 1.0×	100 1.0×	7	638
Fayçal Djazi Algeria	11	367 1.0×	180 1.1×	165 1.1×	99 0.9×	76 0.8×	29	696
Ebrahim Sharifpour Iran	11	340 0.9×	166 1.0×	150 1.0×	93 0.8×	73 0.8×	13	537
Magdalena Błachnio Poland	13	437 1.2×	151 0.9×	211 1.4×	144 1.3×	80 0.8×	37	759
Osman Üner Türkiye	11	497 1.3×	179 1.1×	185 1.2×	120 1.1×	55 0.6×	20	757
Aola Supong India	12	396 1.1×	141 0.8×	143 0.9×	74 0.7×	95 1.0×	19	590
Mohammed El Khomri Morocco	12	399 1.1×	209 1.3×	177 1.1×	95 0.9×	100 1.0×	12	644
S. Altenor Guadeloupe	11	544 1.4×	112 0.7×	178 1.1×	104 0.9×	88 0.9×	11	813
A. A. Bazrafshan Iran	8	280 0.7×	148 0.9×	126 0.8×	126 1.1×	62 0.6×	10	476

Countries citing papers authored by H. Mazaheri

Since Specialization

Citations

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

Fields of papers citing papers by H. Mazaheri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Mazaheri

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

All Works

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7 of 7 papers shown

Mazaheri, H., Mehrorang Ghaedi, Mohammad Hossein Ahmadi Azqhandi, & Arash Asfaram. (2017). Application of machine/statistical learning, artificial intelligence and statistical experimental design for the modeling and optimization of methylene blue and Cd(ii) removal from a binary aqueous solution by natural walnut carbon. Physical Chemistry Chemical Physics. 19(18). 11299–11317. 153 indexed citations

Mazaheri, H., Mehrorang Ghaedi, Arash Asfaram, & Shaaker Hajati. (2016). Performance of CuS nanoparticle loaded on activated carbon in the adsorption of methylene blue and bromophenol blue dyes in binary aqueous solutions: Using ultrasound power and optimization by central composite design. Journal of Molecular Liquids. 219. 667–676. 133 indexed citations

Mazaheri, H., Mehrorang Ghaedi, Shaaker Hajati, Kheibar Dashtian, & Mihir Kumar Purkait. (2015). Simultaneous removal of methylene blue and Pb²⁺ions using ruthenium nanoparticle-loaded activated carbon: response surface methodology. RSC Advances. 5(101). 83427–83435. 89 indexed citations

Ghaedi, Mehrorang, H. Mazaheri, Saeid Khodadoust, Shaaker Hajati, & Mihir Kumar Purkait. (2014). Application of central composite design for simultaneous removal of methylene blue and Pb2+ ions by walnut wood activated carbon. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 135. 479–490. 165 indexed citations

Hajati, Shaaker, Mehrorang Ghaedi, & H. Mazaheri. (2014). Removal of methylene blue from aqueous solution by walnut carbon: optimization using response surface methodology. Desalination and Water Treatment. 57(7). 3179–3193. 36 indexed citations

Mazaheri, H. & Saeed Reza Allahkaram. (2012). Deposition, characterization and electrochemical evaluation of Ni–P–nano diamond composite coatings. Applied Surface Science. 258(10). 4574–4580. 49 indexed citations

Parsa, Mohammad Habibi & H. Mazaheri. (2009). Finite element and experimental deformation analysis of NiTi alloy during rolling. International Journal of Material Forming. 2(S1). 13–16. 2 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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