Amara Tariq

27 papers and 275 indexed citations i.

About

Amara Tariq is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Amara Tariq has authored 27 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Amara Tariq’s work include Machine Learning in Healthcare (9 papers), Topic Modeling (7 papers) and COVID-19 diagnosis using AI (6 papers). Amara Tariq is often cited by papers focused on Machine Learning in Healthcare (9 papers), Topic Modeling (7 papers) and COVID-19 diagnosis using AI (6 papers). Amara Tariq collaborates with scholars based in United States, Pakistan and Guatemala. Amara Tariq's co-authors include Imon Banerjee, Hari Trivedi, Judy Wawira Gichoya, Hassan Foroosh, Jiwoong Jeong, Saptarshi Purkayastha, Satadru Dey, Daniel L. Rubin, Elizabeth A. Krupinski and Neal K. Bhatia and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Amara Tariq i

Fields of papers citing papers by Amara Tariq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amara Tariq

Since Specialization
Citations

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