Aishwarya Kamath

8 papers and 708 indexed citations i.

About

Aishwarya Kamath is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Aishwarya Kamath has authored 8 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Aishwarya Kamath’s work include Multimodal Machine Learning Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Topic Modeling (5 papers). Aishwarya Kamath is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Topic Modeling (5 papers). Aishwarya Kamath collaborates with scholars based in United States, Germany and United Kingdom. Aishwarya Kamath's co-authors include Jonas Pfeiffer, Iryna Gurevych, Kyunghyun Cho, Andreas Rücklé, Nicolas Carion, Gabriel Synnaeve, Yann LeCun, Mannat Singh, Ishan Misra and Ivan Vulić and has published in prestigious journals such as Edinburgh Research Explorer (University of Edinburgh), 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 Aishwarya Kamath i

Fields of papers citing papers by Aishwarya Kamath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aishwarya Kamath

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025