Peter Rindal
- Artificial Intelligence top 2%
- Cryptography and Data Security 14
- Privacy-Preserving Technologies in Data 6
- Cryptographic Implementations and Security 5
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- Complexity and Algorithms in Graphs 6
- Information Systems top 5%
- Cloud Data Security Solutions 2
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- Distributed systems and fault tolerance 2
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- Chaos-based Image/Signal Encryption 2
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- Financial Markets and Investment Strategies 1
- Co-authors
- Payman MohasselKim LaineHao ChenMike RosulekZhicong HuangSrinivasan RaghuramanDaniel DemmlerNi Trieu
- Journals
- BMC Medical Genomics (1 paper)SHILAP Revista de lepidopterología (2 papers)USENIX Security Symposium (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Peter Rindal
18 papers receiving 756 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 724
- Computational Theory and Mathematics 162
- Information Systems 161
- Computer Networks and Communications 74
- Computer Vision and Pattern Recognition 51
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-authorship network
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 | 2024 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2022 | 26 | |
| 4 | 2022 | 4 | |
| 5 | 2020 | 9 | |
| 6 | 2020 | 26 | |
| 7 | 2019 | 20 | |
| 8 | 2019 | 43 | |
| 9 | 2019 | 9 | |
| 10 | 2019 | 13 | |
| 11 | 2018 | 220 | |
| 12 | 2018 | 46 | |
| 13 | 2018 | 11 | |
| 14 | 2018 | 81 | |
| 15 | 2017 | 32 | |
| 16 | 2017 | 165 | |
| 17 | 2017 | 53 | |
| 18 | Faster Malicious 2-Party Secure Computation with Online/Offline Dual Execution | 2016 | 21 |
About Peter Rindal
Peter Rindal is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Pharmacy, Computer Vision and Pattern Recognition and Information Systems, having authored 18 papers that have together received 784 indexed citations. Recurring topics across this work include Cryptography and Data Security (14 papers), Privacy-Preserving Technologies in Data (6 papers), Complexity and Algorithms in Graphs (6 papers), Cryptographic Implementations and Security (5 papers), Distributed systems and fault tolerance (2 papers), Chaos-based Image/Signal Encryption (2 papers), Cloud Data Security Solutions (2 papers) and Financial Markets and Investment Strategies (1 paper). The work is most often cited by research in Artificial Intelligence (724 citations), Computational Theory and Mathematics (162 citations), Information Systems (161 citations), Computer Networks and Communications (74 citations) and Computer Vision and Pattern Recognition (51 citations). Peter Rindal has collaborated with scholars based in United States, Germany and Switzerland. 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, SHILAP Revista de lepidopterología, USENIX Security Symposium, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security and HAL (Le Centre pour la Communication Scientifique Directe).
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.