Ali Amiri

25 papers and 350 indexed citations i.

About

Ali Amiri is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ali Amiri has authored 25 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Ali Amiri’s work include Face and Expression Recognition (6 papers), Spectroscopy and Chemometric Analyses (3 papers) and Machine Learning in Bioinformatics (3 papers). Ali Amiri is often cited by papers focused on Face and Expression Recognition (6 papers), Spectroscopy and Chemometric Analyses (3 papers) and Machine Learning in Bioinformatics (3 papers). Ali Amiri collaborates with scholars based in Iran, United States and Canada. Ali Amiri's co-authors include Seyed Hadi Hosseini, Hossein Safari, Hong Zhang, Sai Hong Tang, Syamsiah Mashohor, Simon M. Lucas, Mahmood Fathy, Mansour Ziaii, Sadegh Karimpouli and Reza Noroozian and has published in prestigious journals such as IEEE Access, Neurocomputing and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Ali Amiri i

Fields of papers citing papers by Ali Amiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ali Amiri

Since Specialization
Citations

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