Samarth Sinha

13 papers and 445 indexed citations i.

About

Samarth Sinha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Samarth Sinha has authored 13 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 1 paper in Aerospace Engineering. Recurrent topics in Samarth Sinha’s work include Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Vision and Imaging (3 papers). Samarth Sinha is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Vision and Imaging (3 papers). Samarth Sinha collaborates with scholars based in Canada, United States and United Kingdom. Samarth Sinha's co-authors include Trevor Darrell, Sayna Ebrahimi, Edgar Schönfeld, Zeynep Akata, Hugo Larochelle, Francesco Locatello, Homanga Bharadhwaj, Bernt Schiele, Peter Gehler and Animesh Garg and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Samarth Sinha i

Fields of papers citing papers by Samarth Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Samarth Sinha

Since Specialization
Citations

This map shows the geographic impact of Samarth Sinha'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 Samarth Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samarth Sinha 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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2025