Kazem Meidani
- Mechanical Engineering
- Materials Chemistry
- Artificial Intelligence
- Automotive Engineering top 10%
- Biomedical Engineering
- Co-authors
- Amir Barati FarimaniSeyedali MirjaliliFrancis OgokeZhonglin CaoChun-Yu YehWilliam LeeZijie LiPrakarsh Yadav
- Topics
- Metaheuristic Optimization Algorithms Research (4 papers)Advanced Multi-Objective Optimization Algorithms (4 papers)Evolutionary Algorithms and Applications (3 papers)
- Cited by
- Automotive EngineeringIndustrial and Manufacturing EngineeringStatistical and Nonlinear Physics
- Journals
- The Journal of Chemical PhysicsExpert Systems with ApplicationsComputer Methods in Applied Mechanics and Engineering
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
Kazem Meidani
10 papers receiving 353 citations
Peers
Comparison fields: 5 of 77
- Mechanical Engineering 105
- Materials Chemistry 87
- Artificial Intelligence 68
- Automotive Engineering 65
- Biomedical Engineering 63
Countries citing papers authored by Kazem Meidani
This map shows the geographic impact of Kazem Meidani'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 Kazem Meidani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazem Meidani more than expected).
Fields of papers citing papers by Kazem Meidani
This network shows the impact of papers produced by Kazem Meidani. 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 Kazem Meidani. The network helps show where Kazem Meidani may publish in the future.
Co-authorship network of co-authors of Kazem Meidani
This figure shows the co-authorship network connecting the top 25 collaborators of Kazem Meidani. A scholar is included among the top collaborators of Kazem Meidani 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 Kazem Meidani. Kazem Meidani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 98 | |
| 3 | 70 | |
| 4 | 11 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 37 | |
| 8 | 46 | |
| 9 | 11 | |
| 10 | 70 |
About Kazem Meidani
Kazem Meidani is a scholar working on Computational Theory and Mathematics, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 10 papers that have together received 364 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Evolutionary Algorithms and Applications (3 papers). The work is most often cited by research in Automotive Engineering (65 citations), Industrial and Manufacturing Engineering (41 citations) and Statistical and Nonlinear Physics (41 citations). Kazem Meidani has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Amir Barati Farimani, Seyedali Mirjalili, Francis Ogoke, Zhonglin Cao, Chun-Yu Yeh, William Lee, Zijie Li and Prakarsh Yadav. Their work appears in journals such as The Journal of Chemical Physics, Expert Systems with Applications and Computer Methods in Applied Mechanics and Engineering.
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.