Meet Shah

11 papers and 395 indexed citations i.

About

Meet Shah is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Meet Shah has authored 11 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Meet Shah’s work include AI in cancer detection (3 papers), COVID-19 diagnosis using AI (2 papers) and Multimodal Machine Learning Applications (2 papers). Meet Shah is often cited by papers focused on AI in cancer detection (3 papers), COVID-19 diagnosis using AI (2 papers) and Multimodal Machine Learning Applications (2 papers). Meet Shah collaborates with scholars based in United States, India and Israel. Meet Shah's co-authors include Devi Parikh, Marcus Rohrbach, Yu Jiang, Xinlei Chen, Amanpreet Singh, Dhruv Batra, Vivek Natarajan, Xinlei Chen, Suyash P. Awate and Sadanand Singh and has published in prestigious journals such as Journal of the American College of Cardiology, Coatings and Radiology Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Meet Shah i

Fields of papers citing papers by Meet Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meet Shah

Since Specialization
Citations

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