Muaz Rahman

7 papers and 315 indexed citations i.

About

Muaz Rahman is a scholar working on Artificial Intelligence, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Muaz Rahman has authored 7 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Biomedical Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Muaz Rahman’s work include Blockchain Technology Applications and Security (2 papers), Smart Grid Energy Management (1 paper) and COVID-19 diagnosis using AI (1 paper). Muaz Rahman is often cited by papers focused on Blockchain Technology Applications and Security (2 papers), Smart Grid Energy Management (1 paper) and COVID-19 diagnosis using AI (1 paper). Muaz Rahman collaborates with scholars based in Bangladesh, Saudi Arabia and Taiwan. Muaz Rahman's co-authors include Tamanna Howlader, Mohammad Shahed Masud, Mohammad Lutfor Rahman, Anichur Rahman, Dipanjali Kundu, Shahab S. Band, Md. Sazzad Hossain, Prayag Tiwari, Tanoy Debnath and Md. Saikat Islam Khan and has published in prestigious journals such as PLoS ONE, Energies and Mathematical Biosciences & Engineering.

In The Last Decade

Co-authorship network of co-authors of Muaz Rahman i

Fields of papers citing papers by Muaz Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Muaz Rahman

Since Specialization
Citations

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