M. Jamal Deen

About

M. Jamal Deen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, M. Jamal Deen has authored 7 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in M. Jamal Deen’s work include COVID-19 diagnosis using AI (1 paper), Machine Learning and ELM (1 paper) and Diabetic Foot Ulcer Assessment and Management (1 paper). M. Jamal Deen is often cited by papers focused on COVID-19 diagnosis using AI (1 paper), Machine Learning and ELM (1 paper) and Diabetic Foot Ulcer Assessment and Management (1 paper). M. Jamal Deen collaborates with scholars based in Canada and China. M. Jamal Deen's co-authors include Laurence T. Yang, Xiaokang Wang, Hang Yu, Qingchen Zhang, David Armstrong, Xia Xie, Qingxia Zhang, Mahdi Naghshvarianjahromi, Shiva Kumar and Xingang Liu and has published in prestigious journals such as IEEE Communications Magazine, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of M. Jamal Deen i

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Fields of papers citing papers by M. Jamal Deen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Jamal Deen. 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 M. Jamal Deen. The network helps show where M. Jamal Deen may publish in the future.

Countries citing papers authored by M. Jamal Deen

Since Specialization

Citations

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