Aminollah Khormali

15 papers and 337 indexed citations i.

About

Aminollah Khormali is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Aminollah Khormali has authored 15 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Aminollah Khormali’s work include Advanced Statistical Process Monitoring (3 papers), Digital Media Forensic Detection (3 papers) and Adversarial Robustness in Machine Learning (3 papers). Aminollah Khormali is often cited by papers focused on Advanced Statistical Process Monitoring (3 papers), Digital Media Forensic Detection (3 papers) and Adversarial Robustness in Machine Learning (3 papers). Aminollah Khormali collaborates with scholars based in United States, Iran and South Korea. Aminollah Khormali's co-authors include Abdoljalil Addeh, J.S. Yuan, Noorbakhsh Amiri Golilarz, Aziz Mohaisen, DaeHun Nyang, Ahmed Abusnaina, Jeman Park, Hisham Alasmary, Afsah Anwar and Amro Awad and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Internet of Things Journal.

In The Last Decade

Co-authorship network of co-authors of Aminollah Khormali i

Fields of papers citing papers by Aminollah Khormali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aminollah Khormali

Since Specialization
Citations

This map shows the geographic impact of Aminollah Khormali'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 Aminollah Khormali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aminollah Khormali 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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2025