Mehrdad Mahdavi

43 papers and 2.8k indexed citations i.

About

Mehrdad Mahdavi is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mehrdad Mahdavi has authored 43 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 13 papers in Computational Mechanics and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mehrdad Mahdavi’s work include Stochastic Gradient Optimization Techniques (15 papers), Sparse and Compressive Sensing Techniques (12 papers) and Face and Expression Recognition (7 papers). Mehrdad Mahdavi is often cited by papers focused on Stochastic Gradient Optimization Techniques (15 papers), Sparse and Compressive Sensing Techniques (12 papers) and Face and Expression Recognition (7 papers). Mehrdad Mahdavi collaborates with scholars based in United States, Iran and China. Mehrdad Mahdavi's co-authors include M. Fesanghary, E. Damangir, Mahamed G. H. Omran, Rana Forsati, Tianbao Yang, Majid Minary‐Jolandan, Y. Alizadeh, Hassan Abolhassani, Mehrnoush Shamsfard and Rong Jin and has published in prestigious journals such as The Journal of Physical Chemistry B, IEEE Transactions on Information Theory and Energy Policy.

In The Last Decade

Co-authorship network of co-authors of Mehrdad Mahdavi i

Fields of papers citing papers by Mehrdad Mahdavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mehrdad Mahdavi

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025