Kazem Meidani

10 papers and 268 indexed citations i.

About

Kazem Meidani is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Kazem Meidani has authored 10 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Kazem Meidani’s work include Advanced Multi-Objective Optimization Algorithms (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Model Reduction and Neural Networks (3 papers). Kazem Meidani is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Model Reduction and Neural Networks (3 papers). Kazem Meidani collaborates with scholars based in United States, Australia and South Korea. Kazem Meidani's co-authors include Amir Barati Farimani, Seyedali Mirjalili, William Lee, Prakarsh Yadav and Zijie Li and has published in prestigious journals such as The Journal of Chemical Physics, Computer Methods in Applied Mechanics and Engineering and Expert Systems with Applications.

In The Last Decade

Fields of papers citing papers by Kazem Meidani

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Kazem Meidani. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kazem Meidani may publish in the future.

Countries citing papers authored by Kazem Meidani

Since Specialization
Citations

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).

Rankless by CCL
2025