Shalini De Mello

24 papers and 950 indexed citations i.

About

Shalini De Mello is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Shalini De Mello has authored 24 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 7 papers in Computational Mechanics. Recurrent topics in Shalini De Mello’s work include Domain Adaptation and Few-Shot Learning (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Computer Graphics and Visualization Techniques (6 papers). Shalini De Mello is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Computer Graphics and Visualization Techniques (6 papers). Shalini De Mello collaborates with scholars based in United States, United Kingdom and Switzerland. Shalini De Mello's co-authors include Jan Kautz, Sifei Liu, Xiaolong Wang, Wonmin Byeon, Tero Karras, Gordon Wetzstein, Eric R. Chan, Koki Nagano, Matthew A. Chan and Connor Z. Lin and has published in prestigious journals such as International Journal of Computer Vision, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Shalini De Mello i

Fields of papers citing papers by Shalini De Mello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shalini De Mello. 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 Shalini De Mello. The network helps show where Shalini De Mello may publish in the future.

Countries citing papers authored by Shalini De Mello

Since Specialization
Citations

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