Md Mamunur Rahaman

34 papers and 1.5k indexed citations i.

About

Md Mamunur Rahaman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Md Mamunur Rahaman has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Md Mamunur Rahaman’s work include AI in cancer detection (21 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Cell Image Analysis Techniques (11 papers). Md Mamunur Rahaman is often cited by papers focused on AI in cancer detection (21 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Cell Image Analysis Techniques (11 papers). Md Mamunur Rahaman collaborates with scholars based in China, United States and Germany. Md Mamunur Rahaman's co-authors include Chen Li, Yudong Yao, Marcin Grzegorzek, Hongzan Sun, Changhao Sun, Shouliang Qi, Frank Kulwa, Xiangchen Wu, Xiaoyan Li and Tao Jiang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Microbiology.

In The Last Decade

Co-authorship network of co-authors of Md Mamunur Rahaman i

Fields of papers citing papers by Md Mamunur Rahaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md Mamunur Rahaman. 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 Md Mamunur Rahaman. The network helps show where Md Mamunur Rahaman may publish in the future.

Countries citing papers authored by Md Mamunur Rahaman

Since Specialization
Citations

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