Mayank Rathee

About

Mayank Rathee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Mayank Rathee has authored 6 papers receiving a total of 161 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Mayank Rathee’s work include Cryptography and Data Security (6 papers), Privacy-Preserving Technologies in Data (4 papers) and Adversarial Robustness in Machine Learning (2 papers). Mayank Rathee is often cited by papers focused on Cryptography and Data Security (6 papers), Privacy-Preserving Technologies in Data (4 papers) and Adversarial Robustness in Machine Learning (2 papers). Mayank Rathee collaborates with scholars based in United States, India and United Kingdom. Mayank Rathee's co-authors include Divya Gupta, Nishanth Chandran, Aseem Rastogi, Rahul Sharma, Raluca Ada Popa, Ion Stoica, Sameer Wagh, Aseem Rastogi, Rahul Sharma and Takeshi Koshiba and has published in prestigious journals such as Journal of Information Security and Applications, 2022 IEEE Symposium on Security and Privacy (SP) and Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security.

In The Last Decade

Co-authorship network of co-authors of Mayank Rathee i

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Fields of papers citing papers by Mayank Rathee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mayank Rathee

Since Specialization

Citations

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