Muhammad Sharif

126 papers and 5.5k indexed citations i.

About

Muhammad Sharif is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Muhammad Sharif has authored 126 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Computer Vision and Pattern Recognition, 34 papers in Artificial Intelligence and 25 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Muhammad Sharif’s work include Digital Imaging for Blood Diseases (20 papers), Smart Agriculture and AI (19 papers) and Brain Tumor Detection and Classification (19 papers). Muhammad Sharif is often cited by papers focused on Digital Imaging for Blood Diseases (20 papers), Smart Agriculture and AI (19 papers) and Brain Tumor Detection and Classification (19 papers). Muhammad Sharif collaborates with scholars based in Pakistan, Saudi Arabia and United States. Muhammad Sharif's co-authors include Muhammad Attique Khan, Mussarat Yasmin, Javeria Amin, Tanzila Saba, Tallha Akram, Mudassar Raza, Kashif Javed, Jamal Hussain Shah, Steven Lawrence Fernandes and Muhammad Almas Anjum and has published in prestigious journals such as Expert Systems with Applications, Sensors and IEEE Access.

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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