Peter Rindal
Impact in
- Artificial Intelligence top 2%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Internet Traffic Analysis and Secure E-voting
- Stochastic Gradient Optimization Techniques
- Adversarial Robustness in Machine Learning
- Cryptographic Implementations and Security
-
- Complexity and Algorithms in Graphs
Papers in
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- Cryptography and Data Security 14
- Privacy-Preserving Technologies in Data 5
- Cryptographic Implementations and Security 5
-
- Complexity and Algorithms in Graphs 6
- Co-authors
- Payman Mohassel (3 shared papers)Kim Laine (4 shared papers)Hao Chen (3 shared papers)Mike Rosulek (6 shared papers)Zhicong Huang (1 shared paper)Srinivasan Raghuraman (3 shared papers)Daniel Demmler (1 shared paper)Ni Trieu (1 shared paper)
- Journals
- BMC Medical Genomics (1 paper)Proceedings on Privacy Enhancing Technologies (2 papers)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Peter Rindal
18 papers receiving 781 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 737
- Computational Theory and Mathematics 162
- Information Systems 165
- Computer Networks and Communications 80
- Computer Vision and Pattern Recognition 54
Countries citing papers authored by Peter Rindal
This map shows the geographic impact of Peter Rindal'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 Peter Rindal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Rindal more than expected).
Fields of papers citing papers by Peter Rindal
This network shows the impact of papers produced by Peter Rindal. 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 Peter Rindal. The network helps show where Peter Rindal may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Rindal, 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 | 2018 | 226 | |
| 2 | 2017 | 170 | |
| 3 | 2018 | 84 | |
| 4 | 2017 | 55 | |
| 5 | 2018 | 47 | |
| 6 | 2019 | 45 | |
| 7 | 2017 | 32 | |
| 8 | 2022 | 28 | |
| 9 | 2020 | 26 | |
| 10 | Faster Malicious 2-Party Secure Computation with Online/Offline Dual Execution | 2016 | 21 |
| 11 | 2019 | 20 | |
| 12 | 2019 | 13 | |
| 13 | 2018 | 11 | |
| 14 | 2019 | 9 | |
| 15 | 2020 | 9 | |
| 16 | 2024 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2024 | 3 |
About Peter Rindal
Peter Rindal is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Information Systems and Computer Networks and Communications, having authored 18 papers that have together received 808 indexed citations. Recurring topics across this work include Cryptography and Data Security (14 papers), Complexity and Algorithms in Graphs (6 papers), Privacy-Preserving Technologies in Data (5 papers), Cryptographic Implementations and Security (5 papers), Chaos-based Image/Signal Encryption (2 papers), Cloud Data Security Solutions (2 papers), Distributed systems and fault tolerance (2 papers) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Artificial Intelligence (737 citations), Computational Theory and Mathematics (162 citations), Information Systems (165 citations), Computer Networks and Communications (80 citations) and Computer Vision and Pattern Recognition (54 citations). Peter Rindal has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Payman Mohassel, Kim Laine, Hao Chen, Mike Rosulek, Zhicong Huang, Srinivasan Raghuraman, Daniel Demmler, Ni Trieu, Kristin Lauter and Adam Groce. Their work appears in journals such as BMC Medical Genomics, Proceedings on Privacy Enhancing Technologies, DOAJ (DOAJ: Directory of Open Access Journals), HAL (Le Centre pour la Communication Scientifique Directe) and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.