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
- Security and Verification in Computing
Papers in
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- Privacy-Preserving Technologies in Data 8
- Cryptography and Data Security 8
- Internet Traffic Analysis and Secure E-voting 5
- Stochastic Gradient Optimization Techniques 2
- Adversarial Robustness in Machine Learning 2
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- Network Security and Intrusion Detection 2
- Co-authors
- Divya Gupta (1 shared paper)Nishanth Chandran (1 shared paper)Prateek Mittal (6 shared papers)Eyal Kushilevitz (1 shared paper)Tal Rabin (1 shared paper)Fabrice Benhamouda (1 shared paper)Shruti Tople (1 shared paper)Mayank Rathee (1 shared paper)
- Journals
- Communications of the ACM (1 paper)Indian Journal of Medical Sciences (1 paper)SHILAP Revista de lepidopterología (5 papers)Proceedings on Privacy Enhancing Technologies (2 papers)
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Sameer Wagh
13 papers receiving 526 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 481
- Health Informatics 7
- Information Systems 84
- Computer Science Applications 19
- Computer Vision and Pattern Recognition 50
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 19 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 | 218 | |
| 2 | 2021 | 116 | |
| 3 | 2023 | 56 | |
| 4 | 2022 | 33 | |
| 5 | 2017 | 27 | |
| 6 | 2008 | 22 | |
| 7 | 2021 | 21 | |
| 8 | 2019 | 13 | |
| 9 | 2018 | 12 | |
| 10 | 2022 | 9 | |
| 11 | 2011 | 8 | |
| 12 | 2019 | 7 | |
| 13 | New Directions in Efficient Privacy-Preserving Machine Learning | 2020 | 3 |
About Sameer Wagh
Sameer Wagh is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, General Health Professions and Pediatrics, Perinatology and Child Health, having authored 13 papers that have together received 545 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (8 papers), Cryptography and Data Security (8 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Stochastic Gradient Optimization Techniques (2 papers), Network Security and Intrusion Detection (2 papers), Adversarial Robustness in Machine Learning (2 papers), Ethics and Legal Issues in Pediatric Healthcare (1 paper) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (481 citations), Health Informatics (7 citations), Information Systems (84 citations), Computer Science Applications (19 citations) and Computer Vision and Pattern Recognition (50 citations). Sameer Wagh has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Divya Gupta, Nishanth Chandran, Prateek Mittal, Eyal Kushilevitz, Tal Rabin, Fabrice Benhamouda, Shruti Tople, Mayank Rathee, Raluca Ada Popa and Liwei Song. Their work appears in journals such as Communications of the ACM, Indian Journal of Medical Sciences, SHILAP Revista de lepidopterología 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.