Sunoo Park
Impact in
- Information Systems top 10%
- Blockchain Technology Applications and Security
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- Internet Traffic Analysis and Secure E-voting
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Hate Speech and Cyberbullying Detection
Papers in
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- Internet Traffic Analysis and Secure E-voting 5
- Cryptography and Data Security 3
- Privacy-Preserving Technologies in Data 2
- Co-authors
- Ronald L. Rivest (2 shared papers)Michael A. Specter (3 shared papers)Neha Narula (1 shared paper)Shafi Goldwasser (3 shared papers)Aloni Cohen (1 shared paper)Daniel J. Weitzner (1 shared paper)Jonathan Frankle (1 shared paper)Matthew Green (1 shared paper)
- Journals
- Public Choice (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)arXiv (Cornell University) (1 paper)SSRN Electronic Journal (1 paper)USENIX Security Symposium (1 paper)
- Partner nations
- United States
In The Last Decade
Sunoo Park
9 papers receiving 98 citations
Peers
Comparison fields: 5 of 26
- Information Systems 59
- Artificial Intelligence 78
- Computer Vision and Pattern Recognition 18
- Communication 6
- Health Informatics 1
Countries citing papers authored by Sunoo Park
This map shows the geographic impact of Sunoo Park'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 Sunoo Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunoo Park more than expected).
Fields of papers citing papers by Sunoo Park
This network shows the impact of papers produced by Sunoo Park. 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 Sunoo Park. The network helps show where Sunoo Park may publish in the future.
Co-authors
The 14 scholars most cited alongside Sunoo Park, 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 | 64 | |
| 2 | Practical Accountability of Secret Processes | 2018 | 10 |
| 3 | 2017 | 10 | |
| 4 | 2017 | 7 | |
| 5 | 2018 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2016 | 2 | |
| 8 | KeyForge: Non-Attributable Email from Forward-Forgeable Signatures | 2021 | 2 |
| 9 | 2022 | 2 | |
| 10 | 3SUM with Preprocessing: Algorithms, Lower Bounds and Cryptographic Applications. | 2019 | 0 |
About Sunoo Park
Sunoo Park is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Political Science and International Relations and Law, having authored 10 papers that have together received 103 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (5 papers), Cryptography and Data Security (3 papers), Privacy-Preserving Technologies in Data (2 papers), Spam and Phishing Detection (1 paper), Criminal Law and Evidence (1 paper), Intelligence, Security, War Strategy (1 paper), Advanced Steganography and Watermarking Techniques (1 paper) and DNA and Biological Computing (1 paper). The work is most often cited by research in Information Systems (59 citations), Artificial Intelligence (78 citations), Computer Vision and Pattern Recognition (18 citations), Communication (6 citations) and Health Informatics (1 citation). Sunoo Park has collaborated with scholars based in United States. Frequent co-authors include Ronald L. Rivest, Michael A. Specter, Neha Narula, Shafi Goldwasser, Aloni Cohen, Daniel J. Weitzner, Jonathan Frankle, Matthew Green, Pablo Azar and Helen Nissenbaum. Their work appears in journals such as Public Choice, DSpace@MIT (Massachusetts Institute of Technology), arXiv (Cornell University), SSRN Electronic Journal and USENIX Security Symposium.
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.