Mayank Rathee
Impact in
- Artificial Intelligence top 5%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Adversarial Robustness in Machine Learning
- Stochastic Gradient Optimization Techniques
- Internet Traffic Analysis and Secure E-voting
- Information Systems top 10%
- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
Papers in
-
- Cryptography and Data Security 9
- Privacy-Preserving Technologies in Data 5
- Adversarial Robustness in Machine Learning 3
- Internet Traffic Analysis and Secure E-voting 1
- Co-authors
- Nishanth Chandran (4 shared papers)Divya Gupta (4 shared papers)Nishant Kumar (3 shared papers)Aseem Rastogi (3 shared papers)Deevashwer Rathee (2 shared papers)Rahul R. Sharma (1 shared paper)Raluca Ada Popa (3 shared papers)Sameer Wagh (1 shared paper)
- Journals
- Journal of Information Security and Applications (1 paper)Lecture notes in computer science (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Mayank Rathee
9 papers receiving 508 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 446
- Information Systems 83
- Computational Theory and Mathematics 52
- Computer Vision and Pattern Recognition 54
- Computer Science Applications 14
Countries citing papers authored by Mayank Rathee
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).
Fields of papers citing papers by Mayank Rathee
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.
Co-authors
The 16 scholars most cited alongside Mayank Rathee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 222 | |
| 2 | 2021 | 87 | |
| 3 | 2023 | 71 | |
| 4 | 2021 | 59 | |
| 5 | 2022 | 48 | |
| 6 | 2020 | 12 | |
| 7 | 2019 | 8 | |
| 8 | 2018 | 6 | |
| 9 | 2024 | 2 |
About Mayank Rathee
Mayank Rathee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Computational Theory and Mathematics, having authored 9 papers that have together received 515 indexed citations. Recurring topics across this work include Cryptography and Data Security (9 papers), Privacy-Preserving Technologies in Data (5 papers), Adversarial Robustness in Machine Learning (3 papers), Advanced Malware Detection Techniques (1 paper), Internet Traffic Analysis and Secure E-voting (1 paper), Blockchain Technology Applications and Security (1 paper), Advanced Data Storage Technologies (1 paper) and Cryptography and Residue Arithmetic (1 paper). The work is most often cited by research in Artificial Intelligence (446 citations), Information Systems (83 citations), Computational Theory and Mathematics (52 citations), Computer Vision and Pattern Recognition (54 citations) and Computer Science Applications (14 citations). Mayank Rathee has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Nishanth Chandran, Divya Gupta, Nishant Kumar, Aseem Rastogi, Deevashwer Rathee, Rahul R. Sharma, Raluca Ada Popa, Sameer Wagh, Ion Gabriel Stoica and Niv Gilboa. Their work appears in journals such as Journal of Information Security and Applications, Lecture notes in computer science and arXiv (Cornell University).
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.