Nupur Kumari

About

Nupur Kumari is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Clinical Psychology. According to data from OpenAlex, Nupur Kumari has authored 16 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Clinical Psychology. Recurrent topics in Nupur Kumari’s work include Generative Adversarial Networks and Image Synthesis (6 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Image Retrieval and Classification Techniques (2 papers). Nupur Kumari is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (6 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Image Retrieval and Classification Techniques (2 papers). Nupur Kumari collaborates with scholars based in United States, India and China. Nupur Kumari's co-authors include Jun-Yan Zhu, Richard Zhang, Eli Shechtman, Balaji Krishnamurthy, Mayank Singh, Abhishek Sinha, Vineeth N Balasubramanian, Bingliang Zhang, Puneet Mangla and Sheng-Yu Wang and has published in prestigious journals such as Acta Neuropsychiatrica, Indian Journal of Medical Ethics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Nupur Kumari i

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Fields of papers citing papers by Nupur Kumari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nupur Kumari

Since Specialization

Citations

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