Hamed Tabrizchi

15 papers and 343 indexed citations i.

About

Hamed Tabrizchi is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hamed Tabrizchi has authored 15 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Electrical and Electronic Engineering and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hamed Tabrizchi’s work include AI in cancer detection (5 papers), COVID-19 diagnosis using AI (3 papers) and Imbalanced Data Classification Techniques (2 papers). Hamed Tabrizchi is often cited by papers focused on AI in cancer detection (5 papers), COVID-19 diagnosis using AI (3 papers) and Imbalanced Data Classification Techniques (2 papers). Hamed Tabrizchi collaborates with scholars based in Iran, Hungary and Italy. Hamed Tabrizchi's co-authors include Marjan Kuchaki Rafsanjani, Jafar Razmara, Sepideh Parvizpour, Mohammad Masoud Javidi, Amir Mosavi, Francesco Palmieri, Brij B. Gupta, László Nádai, Annamária R. Várkonyi-Kóczy and Imre Felde and has published in prestigious journals such as Technological Forecasting and Social Change, Drug Discovery Today and Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Hamed Tabrizchi i

Fields of papers citing papers by Hamed Tabrizchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hamed Tabrizchi

Since Specialization
Citations

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