Eu-Jin Goh
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
- Artificial Intelligence top 2%
- Security and Verification in Computing
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
Papers in
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- Cryptography and Data Security 4
- Security and Verification in Computing 3
- Coding theory and cryptography 2
- Quantum Computing Algorithms and Architecture 1
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- User Authentication and Security Systems 1
- Co-authors
- Dan BonehNagendra ModaduguHovav ShachamMatthew J. PageBen PfaffJonathan KatzStanisław JareckiNan Wang
- Journals
- Journal of Cryptology (1 paper)Network and Distributed System Security Symposium (1 paper)
- Partner nations
- United States
In The Last Decade
Eu-Jin Goh
7 papers receiving 820 citations
Hit Papers
Peers
Comparison fields: 5 of 34
- Signal Processing 418
- Artificial Intelligence 746
- Computer Networks and Communications 431
- Information Systems 365
- Hardware and Architecture 96
Countries citing papers authored by Eu-Jin Goh
This map shows the geographic impact of Eu-Jin Goh'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 Eu-Jin Goh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eu-Jin Goh more than expected).
Fields of papers citing papers by Eu-Jin Goh
This network shows the impact of papers produced by Eu-Jin Goh. 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 Eu-Jin Goh. The network helps show where Eu-Jin Goh may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Eu-Jin Goh, 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 | 2007 | 9 | |
| 2 | 2007 | 32 | |
| 3 | Encryption schemes from bilinear maps | 2007 | 28 |
| 4 | 2006 | 29 | |
| 5 | On the effectiveness of address-space randomization Hit paper breakdown → | 2004 | 536 |
| 6 | SiRiUS: Securing Remote Untrusted Storage. | 2003 | 272 |
| 7 | Searching on Encrypted Data | 2003 | 2 |
About Eu-Jin Goh
Eu-Jin Goh is a scholar working on Artificial Intelligence, Information Systems, Media Technology, Signal Processing and Computer Networks and Communications, having authored 7 papers that have together received 908 indexed citations. Recurring topics across this work include Cryptography and Data Security (4 papers), Security and Verification in Computing (3 papers), Coding theory and cryptography (2 papers), Quantum Computing Algorithms and Architecture (1 paper), User Authentication and Security Systems (1 paper), RFID technology advancements (1 paper), Complexity and Algorithms in Graphs (1 paper) and Chaos-based Image/Signal Encryption (1 paper). The work is most often cited by research in Signal Processing (418 citations), Artificial Intelligence (746 citations), Computer Networks and Communications (431 citations), Information Systems (365 citations) and Hardware and Architecture (96 citations). Eu-Jin Goh has collaborated with scholars based in United States. Frequent co-authors include Dan Boneh, Nagendra Modadugu, Hovav Shacham, Matthew J. Page, Ben Pfaff, Jonathan Katz, Stanisław Jarecki, Nan Wang, Somesh Jha and Ari Juels. Their work appears in journals such as Journal of Cryptology and Network and Distributed System 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.