Mahdi Yaghoobi

55 papers and 765 indexed citations i.

About

Mahdi Yaghoobi is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mahdi Yaghoobi has authored 55 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 17 papers in Statistical and Nonlinear Physics and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mahdi Yaghoobi’s work include Chaos control and synchronization (17 papers), Neural Networks and Applications (10 papers) and Chaos-based Image/Signal Encryption (9 papers). Mahdi Yaghoobi is often cited by papers focused on Chaos control and synchronization (17 papers), Neural Networks and Applications (10 papers) and Chaos-based Image/Signal Encryption (9 papers). Mahdi Yaghoobi collaborates with scholars based in Iran, Australia and United States. Mahdi Yaghoobi's co-authors include Omid Mirzaei, Roohallah Alizadehsani, Assef Zare, Mehrdad Jalali, Saeed Balochian, Guillermo A. Gómez, Mohammad-R. Akbarzadeh-T, Majid Bahrepour, Mark D. McDonnell and Mahdi Jampour and has published in prestigious journals such as British Journal of Cancer, Expert Systems with Applications and Sensors.

In The Last Decade

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

Fields of papers citing papers by Mahdi Yaghoobi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mahdi Yaghoobi

Since Specialization
Citations

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