Muhammad Irfan

304 papers and 3.9k indexed citations i.

About

Muhammad Irfan is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Muhammad Irfan has authored 304 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Electrical and Electronic Engineering, 58 papers in Control and Systems Engineering and 41 papers in Artificial Intelligence. Recurrent topics in Muhammad Irfan’s work include Machine Fault Diagnosis Techniques (38 papers), Brain Tumor Detection and Classification (23 papers) and Advanced Neural Network Applications (20 papers). Muhammad Irfan is often cited by papers focused on Machine Fault Diagnosis Techniques (38 papers), Brain Tumor Detection and Classification (23 papers) and Advanced Neural Network Applications (20 papers). Muhammad Irfan collaborates with scholars based in Saudi Arabia, Pakistan and Poland. Muhammad Irfan's co-authors include Adam Głowacz, Saifur Rahman, Tariq Ali, Nordin Saad, Abdullah Alwadie, Omar AlShorman, Fazal Muhammad, Faisal Althobiani, W. Głowacz and Rosdiazli Ibrahim and has published in prestigious journals such as Journal of Applied Physics, PLoS ONE and Journal of The Electrochemical Society.

In The Last Decade

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

Fields of papers citing papers by Muhammad Irfan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Muhammad Irfan

Since Specialization
Citations

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