Sameer Wagh
Impact in
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Adversarial Robustness in Machine Learning
- Stochastic Gradient Optimization Techniques
- Internet Traffic Analysis and Secure E-voting
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
Papers in
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- Cryptography and Data Security 12
- Privacy-Preserving Technologies in Data 11
- Internet Traffic Analysis and Secure E-voting 5
- Stochastic Gradient Optimization Techniques 3
- Adversarial Robustness in Machine Learning 3
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- Network Security and Intrusion Detection 2
- Advanced Data Storage Technologies 1
- Co-authors
- Nishanth Chandran (1 shared paper)Divya Gupta (1 shared paper)Prateek Mittal (7 shared papers)Eyal Kushilevitz (2 shared papers)Shruti Tople (2 shared papers)Tal Rabin (2 shared papers)Raluca Ada Popa (1 shared paper)Mayank Rathee (1 shared paper)
- Journals
- Communications of the ACM (1 paper)Lecture notes in computer science (3 papers)Indian Journal of Medical Sciences (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)Proceedings on Privacy Enhancing Technologies (8 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Sameer Wagh
17 papers receiving 750 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 678
- Information Systems 123
- Computational Theory and Mathematics 64
- Computer Science Applications 20
- Health Informatics 5
Countries citing papers authored by Sameer Wagh
This map shows the geographic impact of Sameer Wagh'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 Sameer Wagh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameer Wagh more than expected).
Fields of papers citing papers by Sameer Wagh
This network shows the impact of papers produced by Sameer Wagh. 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 Sameer Wagh. The network helps show where Sameer Wagh may publish in the future.
Co-authors
The 25 scholars most cited alongside Sameer Wagh, 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 | 2019 | 284 | |
| 2 | 2021 | 147 | |
| 3 | 2023 | 71 | |
| 4 | 2022 | 41 | |
| 5 | 2020 | 41 | |
| 6 | 2017 | 28 | |
| 7 | 2008 | 25 | |
| 8 | 2021 | 23 | |
| 9 | 2021 | 21 | |
| 10 | 2019 | 19 | |
| 11 | 2022 | 16 | |
| 12 | 2018 | 16 | |
| 13 | 2020 | 15 | |
| 14 | 2011 | 10 | |
| 15 | 2019 | 10 | |
| 16 | New Directions in Efficient Privacy-Preserving Machine Learning | 2020 | 3 |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 |
About Sameer Wagh
Sameer Wagh is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Information Systems, having authored 18 papers that have together received 771 indexed citations. Recurring topics across this work include Cryptography and Data Security (12 papers), Privacy-Preserving Technologies in Data (11 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Stochastic Gradient Optimization Techniques (3 papers), Adversarial Robustness in Machine Learning (3 papers), Network Security and Intrusion Detection (2 papers), Complexity and Algorithms in Graphs (2 papers) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Artificial Intelligence (678 citations), Information Systems (123 citations), Computational Theory and Mathematics (64 citations), Computer Science Applications (20 citations) and Health Informatics (5 citations). Sameer Wagh has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Nishanth Chandran, Divya Gupta, Prateek Mittal, Eyal Kushilevitz, Shruti Tople, Tal Rabin, Raluca Ada Popa, Mayank Rathee, Dragos Rotaru and Liwei Song. Their work appears in journals such as Communications of the ACM, Lecture notes in computer science, Indian Journal of Medical Sciences, DOAJ (DOAJ: Directory of Open Access Journals) and Proceedings on Privacy Enhancing Technologies.
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.