M. Hamed Mozaffari

23 papers and 282 indexed citations i.

About

M. Hamed Mozaffari is a scholar working on Artificial Intelligence, Signal Processing and Complementary and alternative medicine. According to data from OpenAlex, M. Hamed Mozaffari has authored 23 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Signal Processing and 8 papers in Complementary and alternative medicine. Recurrent topics in M. Hamed Mozaffari’s work include Traditional Chinese Medicine Studies (8 papers), Speech and Audio Processing (6 papers) and Cancer-related molecular mechanisms research (5 papers). M. Hamed Mozaffari is often cited by papers focused on Traditional Chinese Medicine Studies (8 papers), Speech and Audio Processing (6 papers) and Cancer-related molecular mechanisms research (5 papers). M. Hamed Mozaffari collaborates with scholars based in Canada, Iran and Japan. M. Hamed Mozaffari's co-authors include Won‐Sook Lee, Seyed Hamid Zahiri, Li‐Lin Tay, Yuchuan Li, Noriko Yamane, David Sankoff, Y. Zhang, Nan Wang, David Sankoff and Chanho Kim and has published in prestigious journals such as The Journal of the Acoustical Society of America, Expert Systems with Applications and Methods.

In The Last Decade

Co-authorship network of co-authors of M. Hamed Mozaffari i

Fields of papers citing papers by M. Hamed Mozaffari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by M. Hamed Mozaffari

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025