Badih Ghazi
Impact in
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- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Internet Traffic Analysis and Secure E-voting
- Coding theory and cryptography
- Stochastic Gradient Optimization Techniques
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Privacy-Preserving Technologies in Data 13
- Cryptography and Data Security 10
- Internet Traffic Analysis and Secure E-voting 6
- Stochastic Gradient Optimization Techniques 3
- Machine Learning and Algorithms 2
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- Complexity and Algorithms in Graphs 3
- Co-authors
- Ravi Kumar (12 shared papers)Pasin Manurangsi (15 shared papers)Noah Golowich (3 shared papers)Rasmus Pagh (3 shared papers)Ameya Velingker (2 shared papers)Mariana Raykova (2 shared papers)Phillipp Schoppmann (1 shared paper)Elena Grigorescu (1 shared paper)
- Journals
- Lecture notes in computer science (1 paper)Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (1 paper)Society for Industrial and Applied Mathematics eBooks (2 papers)Neural Information Processing Systems (2 papers)DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) (2 papers)
- Partner nations
- United StatesDenmarkUnited Kingdom
In The Last Decade
Badih Ghazi
16 papers receiving 67 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 63
- Computer Science Applications 10
- Discrete Mathematics and Combinatorics 4
- Signal Processing 4
- Computer Networks and Communications 7
Countries citing papers authored by Badih Ghazi
This map shows the geographic impact of Badih Ghazi'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 Badih Ghazi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Badih Ghazi more than expected).
Fields of papers citing papers by Badih Ghazi
This network shows the impact of papers produced by Badih Ghazi. 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 Badih Ghazi. The network helps show where Badih Ghazi may publish in the future.
Co-authors
The 24 scholars most cited alongside Badih Ghazi, 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 | 2021 | 18 | |
| 2 | 2022 | 11 | |
| 3 | 2015 | 7 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 4 | |
| 6 | User-Level Differentially Private Learning via Correlated Sampling | 2021 | 4 |
| 7 | 2023 | 4 | |
| 8 | 2020 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2019 | 3 | |
| 11 | Differentially Private Clustering: Tight Approximation Ratios | 2020 | 2 |
| 12 | 2021 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2021 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2017 | 0 |
About Badih Ghazi
Badih Ghazi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Economics and Econometrics, Electrical and Electronic Engineering and Molecular Biology, having authored 20 papers that have together received 71 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (13 papers), Cryptography and Data Security (10 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Complexity and Algorithms in Graphs (3 papers), Stochastic Gradient Optimization Techniques (3 papers), Machine Learning and Algorithms (2 papers), Game Theory and Voting Systems (2 papers) and graph theory and CDMA systems (1 paper). The work is most often cited by research in Artificial Intelligence (63 citations), Computer Science Applications (10 citations), Discrete Mathematics and Combinatorics (4 citations), Signal Processing (4 citations) and Computer Networks and Communications (7 citations). Badih Ghazi has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Ravi Kumar, Pasin Manurangsi, Noah Golowich, Rasmus Pagh, Ameya Velingker, Mariana Raykova, Phillipp Schoppmann, Elena Grigorescu, Adrià Gascón and Ravi Kumar. Their work appears in journals such as Lecture notes in computer science, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, Society for Industrial and Applied Mathematics eBooks, Neural Information Processing Systems and DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).
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.