Mohammad Ghasemian

39 total papers · 516 total citations
30 papers, 313 citations indexed

About

Mohammad Ghasemian is a scholar working on Pollution, Water Science and Technology and Building and Construction. According to data from OpenAlex, Mohammad Ghasemian has authored 30 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pollution, 12 papers in Water Science and Technology and 10 papers in Building and Construction. Recurrent topics in Mohammad Ghasemian's work include Anaerobic Digestion and Biogas Production (10 papers), Wastewater Treatment and Nitrogen Removal (9 papers) and Microbial Fuel Cells and Bioremediation (5 papers). Mohammad Ghasemian is often cited by papers focused on Anaerobic Digestion and Biogas Production (10 papers), Wastewater Treatment and Nitrogen Removal (9 papers) and Microbial Fuel Cells and Bioremediation (5 papers). Mohammad Ghasemian collaborates with scholars based in Iran, United States and India. Mohammad Ghasemian's co-authors include Mohammad Mehdi Amin, Ali Fatehizadeh, Ensiyeh Taheri, Bijan Bina, Hamidreza Pourzamani, Hassan Hashemi, Mohammad Reza Zare, M Mahdavi, Steven W. Van Ginkel and Maryam Kazemipour and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Journal of Environmental Management.

In The Last Decade

Mohammad Ghasemian

29 papers receiving 307 citations

Author Peers

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

Author Last Decade Papers Cites
Mohammad Ghasemian 108 100 97 78 66 30 313
Weichao Xu 116 1.1× 106 1.1× 76 0.8× 76 1.0× 43 0.7× 18 332
Wudneh Ayele Shewa 103 1.0× 85 0.8× 70 0.7× 80 1.0× 76 1.2× 15 313
Monika Kasina 62 0.6× 70 0.7× 197 2.0× 62 0.8× 92 1.4× 32 364
Jiaqi Hou 115 1.1× 165 1.6× 87 0.9× 54 0.7× 83 1.3× 21 347
Aleksandra Szaja 94 0.9× 80 0.8× 122 1.3× 81 1.0× 95 1.4× 34 323
Jun Xiao 104 1.0× 171 1.7× 169 1.7× 54 0.7× 69 1.0× 14 346
Ana M. S. Paulo 98 0.9× 138 1.4× 59 0.6× 33 0.4× 80 1.2× 18 323
Anna Remiszewska-Skwarek 98 0.9× 104 1.0× 116 1.2× 97 1.2× 72 1.1× 12 334
Deshai Botheju 94 0.9× 109 1.1× 210 2.2× 88 1.1× 46 0.7× 14 336
Mei Sun 80 0.7× 171 1.7× 60 0.6× 48 0.6× 81 1.2× 15 339

Countries citing papers authored by Mohammad Ghasemian

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Ghasemian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Ghasemian

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