Puneet Mangla

About

Puneet Mangla is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Puneet Mangla has authored 6 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Puneet Mangla’s work include Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and COVID-19 diagnosis using AI (1 paper). Puneet Mangla is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and COVID-19 diagnosis using AI (1 paper). Puneet Mangla collaborates with scholars based in India, United States and United Arab Emirates. Puneet Mangla's co-authors include Vineeth N Balasubramanian, Abhishek Sinha, Balaji Krishnamurthy, Mayank Singh, Nupur Kumari, Vedant Singh and Fahad Shahbaz Khan and has published in prestigious journals such as Pattern Recognition Letters, arXiv (Cornell University) and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

In The Last Decade

Co-authorship network of co-authors of Puneet Mangla i

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Fields of papers citing papers by Puneet Mangla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Puneet Mangla

Since Specialization

Citations

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