Gail‐Joon Ahn
- Information Systems top 0.05%
- Artificial Intelligence top 0.2%
- Computer Networks and Communications top 0.5%
- Sociology and Political Science top 0.5%
- Signal Processing top 0.5%
- Topics
- Access Control and Trust (90 papers)Security and Verification in Computing (56 papers)Cryptography and Data Security (49 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessACM Computing Surveys
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Gail‐Joon Ahn
220 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Information Systems 4.1k
- Artificial Intelligence 4.0k
- Computer Networks and Communications 2.6k
- Sociology and Political Science 2.2k
- Signal Processing 1.3k
Countries citing papers authored by Gail‐Joon Ahn
This map shows the geographic impact of Gail‐Joon Ahn'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 Gail‐Joon Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gail‐Joon Ahn more than expected).
Fields of papers citing papers by Gail‐Joon Ahn
This network shows the impact of papers produced by Gail‐Joon Ahn. 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 Gail‐Joon Ahn. The network helps show where Gail‐Joon Ahn may publish in the future.
Co-authorship network of co-authors of Gail‐Joon Ahn
This figure shows the co-authorship network connecting the top 25 collaborators of Gail‐Joon Ahn. A scholar is included among the top collaborators of Gail‐Joon Ahn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gail‐Joon Ahn. Gail‐Joon Ahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 9 | |
| 9 | 29 | |
| 10 | 1 | |
| 11 | 19 | |
| 12 | 12 | |
| 13 | 4 | |
| 14 | 19 | |
| 15 | 3 | |
| 16 | 22 | |
| 17 | 3 | |
| 18 | Role-based privilege and trust management | 14 |
| 19 | Proceedings of the tenth ACM symposium on Access control models and technologies | 6 |
| 20 | Role-based Trust Assignment in Trust Management Systems. | 1 |
About Gail‐Joon Ahn
Gail‐Joon Ahn is a scholar working on Information Systems, Signal Processing and Artificial Intelligence, having authored 234 papers that have together received 7.1k indexed citations. Recurring topics across this work include Access Control and Trust (90 papers), Security and Verification in Computing (56 papers) and Cryptography and Data Security (49 papers). The work is most often cited by research in Information Systems (4.1k citations), Signal Processing (1.3k citations) and Artificial Intelligence (4.0k citations). Gail‐Joon Ahn has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Hongxin Hu, Hassan Takabi, James Joshi, Ziming Zhao, Ravi Sandhu, Yan Zhu, Adam Doupé, Longhua Zhang, Bei-Tseng Chu and Stephen S. Yau. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and ACM Computing Surveys.
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.