Deevashwer 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
- Software top 10%
- Software Reliability and Analysis Research
Papers in
-
- Cryptography and Data Security 5
- Privacy-Preserving Technologies in Data 3
- Adversarial Robustness in Machine Learning 2
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- Complexity and Algorithms in Graphs 2
- Co-authors
- Aseem Rastogi (3 shared papers)Divya Gupta (3 shared papers)Nishanth Chandran (3 shared papers)Mayank Rathee (2 shared papers)Rahul Sharma (2 shared papers)Nishant Kumar (1 shared paper)Anil Kumar Tripathi (1 shared paper)Sushant Kumar Pandey (1 shared paper)
- Journals
- Journal of Information Security and Applications (1 paper)IET Software (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- IndiaJapanUnited Kingdom
In The Last Decade
Deevashwer Rathee
6 papers receiving 291 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 247
- Software 24
- Information Systems 62
- Health Informatics 3
- Computer Science Applications 10
Countries citing papers authored by Deevashwer Rathee
This map shows the geographic impact of Deevashwer 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 Deevashwer Rathee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deevashwer Rathee more than expected).
Fields of papers citing papers by Deevashwer Rathee
This network shows the impact of papers produced by Deevashwer 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 Deevashwer Rathee. The network helps show where Deevashwer Rathee may publish in the future.
Co-authors
The 12 scholars most cited alongside Deevashwer 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 | 179 | |
| 2 | 2021 | 46 | |
| 3 | 2020 | 29 | |
| 4 | 2022 | 29 | |
| 5 | 2018 | 11 | |
| 6 | 2020 | 3 |
About Deevashwer Rathee
Deevashwer Rathee is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 6 papers that have together received 297 indexed citations. Recurring topics across this work include Cryptography and Data Security (5 papers), Privacy-Preserving Technologies in Data (3 papers), Complexity and Algorithms in Graphs (2 papers), Adversarial Robustness in Machine Learning (2 papers), Cryptography and Residue Arithmetic (1 paper), Software Engineering Research (1 paper), Fuel Cells and Related Materials (1 paper) and Advanced Authentication Protocols Security (1 paper). The work is most often cited by research in Artificial Intelligence (247 citations), Software (24 citations), Information Systems (62 citations), Health Informatics (3 citations) and Computer Science Applications (10 citations). Deevashwer Rathee has collaborated with scholars based in India, Japan and United Kingdom. Frequent co-authors include Aseem Rastogi, Divya Gupta, Nishanth Chandran, Mayank Rathee, Rahul Sharma, Nishant Kumar, Anil Kumar Tripathi, Sushant Kumar Pandey, Rahul Sharma and Masaya Yasuda. Their work appears in journals such as Journal of Information Security and Applications, IET Software 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.