Sani Sharif Usman

6 papers and 347 indexed citations i.

About

Sani Sharif Usman is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Modeling and Simulation. According to data from OpenAlex, Sani Sharif Usman has authored 6 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Modeling and Simulation. Recurrent topics in Sani Sharif Usman’s work include COVID-19 diagnosis using AI (3 papers), Artificial Intelligence in Healthcare (2 papers) and COVID-19 epidemiological studies (2 papers). Sani Sharif Usman is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), Artificial Intelligence in Healthcare (2 papers) and COVID-19 epidemiological studies (2 papers). Sani Sharif Usman collaborates with scholars based in Nigeria, Saudi Arabia and Türkiye. Sani Sharif Usman's co-authors include L. J. Muhammad, Ebrahem A. Algehyne, Md. Milon Islam, Safial Islam Ayon, Irshadullah Asim Mohammed, Chinmay Chakraborty and Abdullahi İbrahim Uba and has published in prestigious journals such as Heliyon, Molecular Biology Reports and SN Computer Science.

In The Last Decade

Co-authorship network of co-authors of Sani Sharif Usman i

Fields of papers citing papers by Sani Sharif Usman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sani Sharif Usman

Since Specialization
Citations

This map shows the geographic impact of Sani Sharif Usman'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 Sani Sharif Usman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sani Sharif Usman 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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2025