Karan Aggarwal

33 papers and 303 indexed citations i.

About

Karan Aggarwal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Karan Aggarwal has authored 33 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Karan Aggarwal’s work include COVID-19 diagnosis using AI (4 papers), Time Series Analysis and Forecasting (3 papers) and Topic Modeling (3 papers). Karan Aggarwal is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), Time Series Analysis and Forecasting (3 papers) and Topic Modeling (3 papers). Karan Aggarwal collaborates with scholars based in India, United States and Singapore. Karan Aggarwal's co-authors include Maad M. Mijwil, Ashutosh Mishra, Sonia Sonia, Shafiq Joty, Jaideep Srivastava, Russell Greiner, Abram Hindle, Eleni Stroulia, Ahmed Farahat and Kosta Ristovski and has published in prestigious journals such as Expert Systems with Applications, Archives of Computational Methods in Engineering and Multimedia Tools and Applications.

In The Last Decade

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

Fields of papers citing papers by Karan Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Karan Aggarwal

Since Specialization
Citations

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