Shayan Hassantabar

8 papers and 330 indexed citations i.

About

Shayan Hassantabar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shayan Hassantabar has authored 8 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shayan Hassantabar’s work include COVID-19 diagnosis using AI (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Neural Network Applications (2 papers). Shayan Hassantabar is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Neural Network Applications (2 papers). Shayan Hassantabar collaborates with scholars based in United States, Iran and Italy. Shayan Hassantabar's co-authors include Mohsen Ahmadi, Abbas Sharifi, Niraj K. Jha, Kenza Hamidouche, Stefano Novati, Ignazio R. Marino, Raffaele Bruno, Alessandra Ferrari, Gregory N. Nicola and Zeyu Wang and has published in prestigious journals such as Chemical Engineering Journal, BioMed Research International and Chaos Solitons & Fractals.

In The Last Decade

Co-authorship network of co-authors of Shayan Hassantabar i

Fields of papers citing papers by Shayan Hassantabar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shayan Hassantabar

Since Specialization
Citations

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