Eysa Lee
Impact in
- Artificial Intelligence top 5%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Cryptographic Implementations and Security
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
- Cryptography and Residue Arithmetic
Papers in
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- Cryptography and Data Security 8
- Cryptographic Implementations and Security 2
- Privacy-Preserving Technologies in Data 1
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- Cryptography and Residue Arithmetic 4
- Cloud Data Security Solutions 1
- Blockchain Technology Applications and Security 1
- Co-authors
- Abhi Shelat (6 shared papers)Yashvanth Kondi (6 shared papers)Jack Doerner (6 shared papers)Ran Cohen (2 shared papers)Eduardo Soria-Vázquez (1 shared paper)Rishab Goyal (1 shared paper)Tatsuaki Okamoto (1 shared paper)Brent Waters (1 shared paper)
- Partner nations
- United StatesMexicoIsrael
In The Last Decade
Eysa Lee
8 papers receiving 270 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 244
- Information Systems 141
- Computational Theory and Mathematics 61
- Computer Networks and Communications 60
- Signal Processing 13
Countries citing papers authored by Eysa Lee
This map shows the geographic impact of Eysa Lee'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 Eysa Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eysa Lee more than expected).
Fields of papers citing papers by Eysa Lee
This network shows the impact of papers produced by Eysa Lee. 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 Eysa Lee. The network helps show where Eysa Lee may publish in the future.
Co-authors
The 10 scholars most cited alongside Eysa Lee, 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 | 102 | |
| 2 | 2019 | 96 | |
| 3 | 2023 | 22 | |
| 4 | 2020 | 20 | |
| 5 | 2024 | 12 | |
| 6 | 2020 | 12 | |
| 7 | 2022 | 7 | |
| 8 | 2017 | 2 |
About Eysa Lee
Eysa Lee is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 8 papers that have together received 273 indexed citations. Recurring topics across this work include Cryptography and Data Security (8 papers), Cryptography and Residue Arithmetic (4 papers), Complexity and Algorithms in Graphs (3 papers), Cryptographic Implementations and Security (2 papers), graph theory and CDMA systems (2 papers), Privacy-Preserving Technologies in Data (1 paper), Cloud Data Security Solutions (1 paper) and Blockchain Technology Applications and Security (1 paper). The work is most often cited by research in Artificial Intelligence (244 citations), Information Systems (141 citations), Computational Theory and Mathematics (61 citations), Computer Networks and Communications (60 citations) and Signal Processing (13 citations). Eysa Lee has collaborated with scholars based in United States, Mexico and Israel. Frequent co-authors include Abhi Shelat, Yashvanth Kondi, Jack Doerner, Ran Cohen, Eduardo Soria-Vázquez, Rishab Goyal, Tatsuaki Okamoto, Brent Waters, Susan Hohenberger and Venkata Koppula. Their work appears in journals such as Journal of Cryptology and Lecture notes in computer science.
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.