Muhammad Arhami

18 papers and 47 indexed citations i.

About

Muhammad Arhami is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Muhammad Arhami has authored 18 papers receiving a total of 47 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Muhammad Arhami’s work include Data Mining and Machine Learning Applications (5 papers), Retinal Imaging and Analysis (5 papers) and Digital Imaging for Blood Diseases (3 papers). Muhammad Arhami is often cited by papers focused on Data Mining and Machine Learning Applications (5 papers), Retinal Imaging and Analysis (5 papers) and Digital Imaging for Blood Diseases (3 papers). Muhammad Arhami collaborates with scholars based in Indonesia and Türkiye. Muhammad Arhami's co-authors include Erwin Erwin, Husaini Husaini, Muhammad Naufal Rachmatullah, Dwiza Riana, Firdaus Firdaus and Muhammad Nasir and has published in prestigious journals such as IEEE Access, International Journal of Pattern Recognition and Artificial Intelligence and Journal of Physics Conference Series.

In The Last Decade

Co-authorship network of co-authors of Muhammad Arhami i

Fields of papers citing papers by Muhammad Arhami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Muhammad Arhami

Since Specialization
Citations

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