Ambrish Rawat

11 papers and 132 indexed citations i.

About

Ambrish Rawat is a scholar working on Artificial Intelligence, Molecular Biology and Signal Processing. According to data from OpenAlex, Ambrish Rawat has authored 11 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Signal Processing. Recurrent topics in Ambrish Rawat’s work include Anomaly Detection Techniques and Applications (5 papers), Adversarial Robustness in Machine Learning (4 papers) and Machine Learning and Data Classification (3 papers). Ambrish Rawat is often cited by papers focused on Anomaly Detection Techniques and Applications (5 papers), Adversarial Robustness in Machine Learning (4 papers) and Machine Learning and Data Classification (3 papers). Ambrish Rawat collaborates with scholars based in Ireland, United States and Italy. Ambrish Rawat's co-authors include Valentina Zantedeschi, Maria-Irina Nicolae, Martin Wistuba, Djallel Bouneffouf, Mathieu Sinn, Akihiro Kishimoto, Beat Buesser, Ian Molloy, Tejaswini Pedapati and Parikshit Ram and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Ambrish Rawat i

Fields of papers citing papers by Ambrish Rawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ambrish Rawat

Since Specialization
Citations

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