Majid Mirzaee

36 total papers · 934 total citations
33 papers, 698 citations indexed

About

Majid Mirzaee is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Majid Mirzaee has authored 33 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Materials Chemistry, 15 papers in Electrical and Electronic Engineering and 11 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Majid Mirzaee's work include Supercapacitor Materials and Fabrication (10 papers), Corrosion Behavior and Inhibition (10 papers) and Graphene research and applications (6 papers). Majid Mirzaee is often cited by papers focused on Supercapacitor Materials and Fabrication (10 papers), Corrosion Behavior and Inhibition (10 papers) and Graphene research and applications (6 papers). Majid Mirzaee collaborates with scholars based in Iran, China and Italy. Majid Mirzaee's co-authors include Changiz Dehghanian, Alimorad Rashidi, Yahya Palizdar, Mohammad Reza Vaezi, Majid Rezaei Abadchi, Jizhou Duan, Sepideh Pourhashem, Abdolvahab Seif, Ziyang Zhou and Ashkan Zolriasatein and has published in prestigious journals such as Scientific Reports, ACS Applied Materials & Interfaces and Construction and Building Materials.

In The Last Decade

Majid Mirzaee

31 papers receiving 670 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Majid Mirzaee	417	177	153	135	128	33	698
Khalid I. Kabel	234 0.6×	154 0.9×	135 0.9×	192 1.4×	51 0.4×	37	597
Yuqin Tian	486 1.2×	92 0.5×	97 0.6×	182 1.3×	38 0.3×	29	676
Ali Mohammad Bazargan	224 0.5×	250 1.4×	167 1.1×	132 1.0×	171 1.3×	27	561
Zhengquan Li	240 0.6×	107 0.6×	83 0.5×	46 0.3×	106 0.8×	36	573
Chenzhong Mu	238 0.6×	109 0.6×	167 1.1×	245 1.8×	217 1.7×	21	737
Guangyi Cai	512 1.2×	127 0.7×	161 1.1×	158 1.2×	24 0.2×	33	734
Ying Su	135 0.3×	248 1.4×	243 1.6×	106 0.8×	202 1.6×	24	721
Yanan Pu	492 1.2×	90 0.5×	173 1.1×	51 0.4×	32 0.3×	34	748
Zhexenbek Toktarbay	146 0.4×	177 1.0×	91 0.6×	101 0.7×	143 1.1×	46	586
Elsayed M. Elnaggar	250 0.6×	166 0.9×	108 0.7×	145 1.1×	155 1.2×	51	637

Countries citing papers authored by Majid Mirzaee

Since Specialization

Citations

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

Fields of papers citing papers by Majid Mirzaee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Majid Mirzaee

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

All Works

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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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