Pritee Khanna

79 papers and 1.8k indexed citations i.

About

Pritee Khanna is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Pritee Khanna has authored 79 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computer Vision and Pattern Recognition, 22 papers in Signal Processing and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Pritee Khanna’s work include Biometric Identification and Security (22 papers), Medical Image Segmentation Techniques (11 papers) and Face recognition and analysis (10 papers). Pritee Khanna is often cited by papers focused on Biometric Identification and Security (22 papers), Medical Image Segmentation Techniques (11 papers) and Face recognition and analysis (10 papers). Pritee Khanna collaborates with scholars based in India, Australia and Japan. Pritee Khanna's co-authors include Harkeerat Kaur, Nidhi Gupta, Aparajita Ojha, Ayan Seal, Mukesh Prasad, Poornima Singh Thakur, Tanuja Sheorey, Iman Beheshti, Mel Slater and Jesper Mortensen and has published in prestigious journals such as Expert Systems with Applications, ISPRS Journal of Photogrammetry and Remote Sensing and IEEE Transactions on Industrial Informatics.

In The Last Decade

Co-authorship network of co-authors of Pritee Khanna i

Fields of papers citing papers by Pritee Khanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pritee Khanna

Since Specialization
Citations

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