Muhammad Ramzan

58 papers and 1.3k indexed citations i.

About

Muhammad Ramzan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Muhammad Ramzan has authored 58 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in Muhammad Ramzan’s work include Anomaly Detection Techniques and Applications (6 papers), COVID-19 diagnosis using AI (5 papers) and Blockchain Technology Applications and Security (4 papers). Muhammad Ramzan is often cited by papers focused on Anomaly Detection Techniques and Applications (6 papers), COVID-19 diagnosis using AI (5 papers) and Blockchain Technology Applications and Security (4 papers). Muhammad Ramzan collaborates with scholars based in Pakistan, Saudi Arabia and United States. Muhammad Ramzan's co-authors include Hikmat Ullah Khan, Ghulam Khaliq, Abdul Hameed Baloch, Ahsan Mahmood, Mahwish Ilyas, Shahid Mahmood Awan, Muhammad Bilal, Muzamil Ahmed, Muhammad Irfan and Mohammed Olaythah Alraddadi and has published in prestigious journals such as Scientific Reports, Food Chemistry and Applied Energy.

In The Last Decade

Co-authorship network of co-authors of Muhammad Ramzan i

Fields of papers citing papers by Muhammad Ramzan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Muhammad Ramzan

Since Specialization
Citations

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