Tonmoy Saikia

About

Tonmoy Saikia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Tonmoy Saikia has authored 6 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Tonmoy Saikia’s work include Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Tonmoy Saikia is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Tonmoy Saikia collaborates with scholars based in Germany, India and France. Tonmoy Saikia's co-authors include Thomas Brox, Eddy Ilg, N. Michael Mayer, Alexey Dosovitskiy, Margret Keuper, Frank Hutter, Yassine Marrakchi, Arber Zela, Thomas Elsken and Cordelia Schmid and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Tonmoy Saikia i

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Fields of papers citing papers by Tonmoy Saikia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tonmoy Saikia

Since Specialization

Citations

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