Samyak Datta

About

Samyak Datta is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Samyak Datta has authored 5 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Aerospace Engineering. Recurrent topics in Samyak Datta’s work include Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Human Pose and Action Recognition (3 papers). Samyak Datta is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Human Pose and Action Recognition (3 papers). Samyak Datta collaborates with scholars based in United States, Israel and India. Samyak Datta's co-authors include Devi Parikh, Dhruv Batra, Stefan Lee, Abhishek Das, Georgia Gkioxari, Anirban Roy, Karan Sikka, Ajay Divakaran, Irfan Essa and Oleksandr Maksymets and has published in prestigious journals such as Multimedia Tools and Applications, 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 Samyak Datta i

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Fields of papers citing papers by Samyak Datta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Samyak Datta

Since Specialization

Citations

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