Mehak Aggarwal

6 papers and 131 indexed citations i.

About

Mehak Aggarwal is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Information Systems. According to data from OpenAlex, Mehak Aggarwal has authored 6 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Information Systems. Recurrent topics in Mehak Aggarwal’s work include COVID-19 diagnosis using AI (2 papers), Software Engineering Research (2 papers) and Software Reliability and Analysis Research (2 papers). Mehak Aggarwal is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), Software Engineering Research (2 papers) and Software Reliability and Analysis Research (2 papers). Mehak Aggarwal collaborates with scholars based in India, United States and Brazil. Mehak Aggarwal's co-authors include Sharut Gupta, Nishanth Arun, Praveer Singh, Matthew Li, Jayashree Kalpathy‐Cramer, Katharina Hoebel, Mishka Gidwani, Ken Chang, Nathan Gaw and Bryan Chen and has published in prestigious journals such as Medicine, Radiology Artificial Intelligence and Research Journal of Pharmacy and Technology.

In The Last Decade

Co-authorship network of co-authors of Mehak Aggarwal i

Fields of papers citing papers by Mehak Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mehak Aggarwal

Since Specialization
Citations

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