Mohammad Dehghani

30 papers and 2.5k indexed citations i.

About

Mohammad Dehghani is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammad Dehghani has authored 30 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 24 papers in Computational Theory and Mathematics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohammad Dehghani’s work include Metaheuristic Optimization Algorithms Research (28 papers), Advanced Multi-Objective Optimization Algorithms (24 papers) and Evolutionary Algorithms and Applications (21 papers). Mohammad Dehghani is often cited by papers focused on Metaheuristic Optimization Algorithms Research (28 papers), Advanced Multi-Objective Optimization Algorithms (24 papers) and Evolutionary Algorithms and Applications (21 papers). Mohammad Dehghani collaborates with scholars based in Czechia, Iran and Canada. Mohammad Dehghani's co-authors include Pavel Trojovský, Eva Trojovská, Štěpán Hubálovský, Zeinab Montazeri, O.P. Malik, Hadi Givi, Víctor Leiva, Gaurav Dhiman, Saikat Gochhait and Uma Dutta and has published in prestigious journals such as Scientific Reports, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Mohammad Dehghani i

Fields of papers citing papers by Mohammad Dehghani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mohammad Dehghani

Since Specialization
Citations

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