Mahdi Azizi

39 papers and 1.5k indexed citations i.

About

Mahdi Azizi is a scholar working on Artificial Intelligence, Civil and Structural Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Mahdi Azizi has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 17 papers in Civil and Structural Engineering and 17 papers in Computational Theory and Mathematics. Recurrent topics in Mahdi Azizi’s work include Metaheuristic Optimization Algorithms Research (23 papers), Advanced Multi-Objective Optimization Algorithms (17 papers) and Structural Health Monitoring Techniques (8 papers). Mahdi Azizi is often cited by papers focused on Metaheuristic Optimization Algorithms Research (23 papers), Advanced Multi-Objective Optimization Algorithms (17 papers) and Structural Health Monitoring Techniques (8 papers). Mahdi Azizi collaborates with scholars based in Iran, Cyprus and Australia. Mahdi Azizi's co-authors include Siamak Talatahari, Amir H. Gandomi, Milad Baghalzadeh Shishehgarkhaneh, Pooya Sareh, Uwe Aickelin, Hadi Akbarzadeh Khorshidi, Mohammad Tolouei, Nima Khodadadi, Agathoklis Giaralis and Robert Moehler and has published in prestigious journals such as Scientific Reports, IEEE Access and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Mahdi Azizi i

Fields of papers citing papers by Mahdi Azizi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mahdi Azizi

Since Specialization
Citations

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

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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