Mahdi Vaezi

46 total papers · 765 total citations
37 papers, 617 citations indexed

About

Mahdi Vaezi is a scholar working on Computational Mechanics, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Mahdi Vaezi has authored 37 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mechanics, 14 papers in Biomedical Engineering and 12 papers in Mechanics of Materials. Recurrent topics in Mahdi Vaezi's work include Forest Biomass Utilization and Management (12 papers), Granular flow and fluidized beds (10 papers) and Thermochemical Biomass Conversion Processes (7 papers). Mahdi Vaezi is often cited by papers focused on Forest Biomass Utilization and Management (12 papers), Granular flow and fluidized beds (10 papers) and Thermochemical Biomass Conversion Processes (7 papers). Mahdi Vaezi collaborates with scholars based in United States, Canada and Iran. Mahdi Vaezi's co-authors include Amit Kumar, Mohammad Moghiman, Mohammad Passandideh‐Fard, Majid Charmchi, Siddharth Jain, Souvik Bhattacharyya, Vivek Pandey, Shubham Verma, Prashant Patel and M. M. Rahman and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, The Science of The Total Environment and Fuel.

In The Last Decade

Mahdi Vaezi

35 papers receiving 598 citations

Author Peers

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

Author Last Decade Papers Cites
Mahdi Vaezi 261 131 131 129 105 37 617
Suthum Patumsawad 377 1.4× 137 1.0× 112 0.9× 64 0.5× 44 0.4× 39 628
Halina Pawlak–Kruczek 398 1.5× 102 0.8× 225 1.7× 67 0.5× 24 0.2× 34 645
Kitipat Siemanond 262 1.0× 73 0.6× 135 1.0× 38 0.3× 34 0.3× 35 592
Ana Paula Costa 140 0.5× 64 0.5× 63 0.5× 70 0.5× 104 1.0× 51 609
Michalis Agraniotis 397 1.5× 62 0.5× 203 1.5× 231 1.8× 35 0.3× 19 587
Like Wang 146 0.6× 59 0.5× 113 0.9× 66 0.5× 135 1.3× 38 527
Matthias Fischer 115 0.4× 70 0.5× 50 0.4× 35 0.3× 103 1.0× 40 649
Paul T. Williams 150 0.6× 156 1.2× 137 1.0× 20 0.2× 148 1.4× 49 612
Natarianto Indrawan 443 1.7× 139 1.1× 154 1.2× 46 0.4× 19 0.2× 21 668
Muhammad Nouman Aslam Khan 368 1.4× 99 0.8× 196 1.5× 30 0.2× 41 0.4× 24 674

Countries citing papers authored by Mahdi Vaezi

Since Specialization
Citations

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

Fields of papers citing papers by Mahdi Vaezi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahdi Vaezi

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