Muhammad Sharif

42 papers and 2.0k indexed citations i.

About

Muhammad Sharif is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Muhammad Sharif has authored 42 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Muhammad Sharif’s work include COVID-19 diagnosis using AI (9 papers), Retinal Imaging and Analysis (9 papers) and Cutaneous Melanoma Detection and Management (7 papers). Muhammad Sharif is often cited by papers focused on COVID-19 diagnosis using AI (9 papers), Retinal Imaging and Analysis (9 papers) and Cutaneous Melanoma Detection and Management (7 papers). Muhammad Sharif collaborates with scholars based in Pakistan, Saudi Arabia and India. Muhammad Sharif's co-authors include Muhammad Attique Khan, Mussarat Yasmin, Tallha Akram, Amjad Rehman, Tanzila Saba, Steven Lawrence Fernandes, Farhat Afza, Mudassar Raza, Yudong Zhang and Jamal Hussain Shah and has published in prestigious journals such as Applied Soft Computing, Methods and Computer Methods and Programs in Biomedicine.

In The Last Decade

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

Fields of papers citing papers by Muhammad Sharif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Muhammad Sharif

Since Specialization
Citations

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