Danial Sharifrazi

13 papers and 423 indexed citations i.

About

Danial Sharifrazi is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Ecology. According to data from OpenAlex, Danial Sharifrazi has authored 13 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Artificial Intelligence and 3 papers in Ecology. Recurrent topics in Danial Sharifrazi’s work include COVID-19 diagnosis using AI (5 papers), Hydrology and Sediment Transport Processes (3 papers) and Artificial Intelligence in Healthcare (3 papers). Danial Sharifrazi is often cited by papers focused on COVID-19 diagnosis using AI (5 papers), Hydrology and Sediment Transport Processes (3 papers) and Artificial Intelligence in Healthcare (3 papers). Danial Sharifrazi collaborates with scholars based in Iran, Australia and Taiwan. Danial Sharifrazi's co-authors include Roohallah Alizadehsani, Afshin Shoeibi, Abbas Khosravi, Saeid Nahavandi, Javad Hassannataj Joloudari, Zahra Alizadeh Sani, Sadiq Hussain, Sheikh Mohammed Shariful Islam, Fahime Khozeimeh and J. M. Górriz and has published in prestigious journals such as Scientific Reports, Physiological Measurement and Biomedical Signal Processing and Control.

In The Last Decade

Co-authorship network of co-authors of Danial Sharifrazi i

Fields of papers citing papers by Danial Sharifrazi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danial Sharifrazi

Since Specialization
Citations

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