Hussam Tarazi

10 papers and 192 indexed citations i.

About

Hussam Tarazi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hussam Tarazi has authored 10 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hussam Tarazi’s work include COVID-19 diagnosis using AI (2 papers), Speech and Audio Processing (2 papers) and Emotion and Mood Recognition (2 papers). Hussam Tarazi is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), Speech and Audio Processing (2 papers) and Emotion and Mood Recognition (2 papers). Hussam Tarazi collaborates with scholars based in United States, Saudi Arabia and India. Hussam Tarazi's co-authors include Wesam Atef Hatamleh, Mohammed Zakariah, Abeer Ali Alnuaim, Prashant Kumar Shukla, Rajnish Ratna, Basant Tiwari, Piyush Kumar Shukla, B. Partibane, Chandra Shekhar Yadav and Shubham Joshi and has published in prestigious journals such as Computational Intelligence and Neuroscience, Wireless Communications and Mobile Computing and Journal of Healthcare Engineering.

In The Last Decade

Co-authorship network of co-authors of Hussam Tarazi i

Fields of papers citing papers by Hussam Tarazi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hussam Tarazi

Since Specialization
Citations

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