Sheeraz Akram

39 papers and 331 indexed citations i.

About

Sheeraz Akram is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Sheeraz Akram has authored 39 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Sheeraz Akram’s work include COVID-19 diagnosis using AI (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Lung Cancer Diagnosis and Treatment (9 papers). Sheeraz Akram is often cited by papers focused on COVID-19 diagnosis using AI (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Lung Cancer Diagnosis and Treatment (9 papers). Sheeraz Akram collaborates with scholars based in Pakistan, Saudi Arabia and United Kingdom. Sheeraz Akram's co-authors include Arfan Jaffar, Muhammad Younus Javed, Muhammad Rashid, Zulfiqar Ali, Muhammad Imran, Muhammad Usman Akram, Sheikh Tahir Bakhsh, Iftikhar Naseer, Usman Qamar and Sajid Ali Khan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Sensors.

In The Last Decade

Co-authorship network of co-authors of Sheeraz Akram i

Fields of papers citing papers by Sheeraz Akram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sheeraz Akram

Since Specialization
Citations

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