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
- Internet Traffic Analysis and Secure E-voting 1
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- Cryptography and Residue Arithmetic 1
- Cloud Data Security Solutions 1
- Co-authors
- Dan Boneh (5 shared papers)Nagendra Modadugu (2 shared papers)Hovav Shacham (2 shared papers)Matthew J. Page (1 shared paper)Ben Pfaff (1 shared paper)Stanisław Jarecki (1 shared paper)Jonathan Katz (1 shared paper)Nan Wang (1 shared paper)
- 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 821 citations
Eu-Jin Goh's Hit Papers
Peers
Comparison fields: 5 of 34
- Signal Processing 418
- Artificial Intelligence 745
- Computer Networks and Communications 430
- Information Systems 366
- 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-authors
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 | On the effectiveness of address-space randomization Hit paper breakdown → | 2004 | 537 |
| 2 | SiRiUS: Securing Remote Untrusted Storage. | 2003 | 272 |
| 3 | 2007 | 32 | |
| 4 | 2006 | 29 | |
| 5 | Encryption schemes from bilinear maps | 2007 | 28 |
| 6 | 2007 | 9 | |
| 7 | Searching on Encrypted Data | 2003 | 2 |
About Eu-Jin Goh
Eu-Jin Goh is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 7 papers that have together received 909 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), Cryptography and Residue Arithmetic (1 paper), RFID technology advancements (1 paper), Internet Traffic Analysis and Secure E-voting (1 paper), Advanced Data Storage Technologies (1 paper) and Cloud Data Security Solutions (1 paper). The work is most often cited by research in Signal Processing (418 citations), Artificial Intelligence (745 citations), Computer Networks and Communications (430 citations), Information Systems (366 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, Stanisław Jarecki, Jonathan Katz, 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.