Sareer Ul Amin

14 papers and 162 indexed citations i.

About

Sareer Ul Amin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Sareer Ul Amin has authored 14 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Sareer Ul Amin’s work include Network Security and Intrusion Detection (5 papers), Anomaly Detection Techniques and Applications (5 papers) and COVID-19 diagnosis using AI (2 papers). Sareer Ul Amin is often cited by papers focused on Network Security and Intrusion Detection (5 papers), Anomaly Detection Techniques and Applications (5 papers) and COVID-19 diagnosis using AI (2 papers). Sareer Ul Amin collaborates with scholars based in South Korea, Pakistan and Saudi Arabia. Sareer Ul Amin's co-authors include Sanghyun Seo, Adnan Hussain, Mohib Ullah, Irfan Sami, Faouzi Alaya Cheikh, Muhammad Mudassar Yamin, Salman Khan, Muhammad Sajjad, Khan Muhammad and Habib Ullah and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Computers and Electronics in Agriculture.

In The Last Decade

Co-authorship network of co-authors of Sareer Ul Amin i

Fields of papers citing papers by Sareer Ul Amin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sareer Ul Amin. 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 Sareer Ul Amin. The network helps show where Sareer Ul Amin may publish in the future.

Countries citing papers authored by Sareer Ul Amin

Since Specialization
Citations

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