Gail‐Joon Ahn

11.3k total citations · 3 hit papers
234 papers, 7.1k citations indexed

About

Gail‐Joon Ahn is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Gail‐Joon Ahn has authored 234 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Artificial Intelligence, 117 papers in Information Systems and 102 papers in Sociology and Political Science. Recurrent topics in Gail‐Joon Ahn's work include Access Control and Trust (90 papers), Security and Verification in Computing (56 papers) and Cryptography and Data Security (49 papers). Gail‐Joon Ahn is often cited by papers focused on Access Control and Trust (90 papers), Security and Verification in Computing (56 papers) and Cryptography and Data Security (49 papers). Gail‐Joon Ahn collaborates with scholars based in United States, China and South Korea. Gail‐Joon Ahn's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and ACM Computing Surveys.

In The Last Decade

Gail‐Joon Ahn

220 papers receiving 6.5k citations

Hit Papers

Security and Privacy Challenges in Cloud Computing Enviro... 2010 2026 2015 2020 2010 2017 2012 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Security and Privacy Challenges in Cloud Computing Environments
    2010 809 citations Gail‐Joon Ahn et al. profile →
  2. Deep Android Malware Detection
    2017 325 citations Ziming Zhao, Adam Doupé et al. profile →
  3. Cooperative Provable Data Possession for Integrity Verification in Multicloud Storage
    2012 315 citations Hongxin Hu, Gail‐Joon Ahn et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gail‐Joon Ahn United States 41 4.1k 4.0k 2.6k 2.2k 1.3k 234 7.1k
Wouter Joosen Belgium 36 4.0k 1.0× 2.9k 0.7× 2.9k 1.1× 839 0.4× 1.9k 1.4× 588 6.6k
Pierangela Samarati Italy 45 3.5k 0.8× 7.3k 1.8× 2.8k 1.1× 5.2k 2.3× 529 0.4× 226 9.7k
Dorothy E. Denning United States 31 2.7k 0.7× 5.4k 1.4× 4.6k 1.8× 1.3k 0.6× 2.7k 2.0× 102 8.1k
Stefano Paraboschi Italy 34 2.3k 0.6× 3.0k 0.7× 2.4k 0.9× 1.5k 0.7× 672 0.5× 141 4.9k
Xiapu Luo Hong Kong 44 4.7k 1.1× 2.9k 0.7× 3.5k 1.4× 575 0.3× 2.6k 1.9× 357 8.1k
Miguel Castro United States 36 3.7k 0.9× 2.6k 0.7× 9.3k 3.6× 710 0.3× 1.0k 0.8× 96 10.9k
Matt Bishop United States 29 2.0k 0.5× 1.5k 0.4× 1.6k 0.6× 500 0.2× 1.5k 1.1× 220 3.6k
Eugene H. Spafford United States 43 3.1k 0.7× 2.3k 0.6× 3.3k 1.3× 447 0.2× 2.8k 2.1× 162 6.1k
Bashar Nuseibeh United Kingdom 40 4.5k 1.1× 3.5k 0.9× 1.0k 0.4× 742 0.3× 573 0.4× 266 6.4k
Ravi Sandhu United States 53 6.8k 1.6× 10.5k 2.7× 4.5k 1.7× 10.8k 4.9× 824 0.6× 299 15.3k

Countries citing papers authored by Gail‐Joon Ahn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Karimi, Alireza, Adam Oest, Gail‐Joon Ahn, et al.. (2025). SCAMMAGNIFIER: Piercing the Veil of Fraudulent Shopping Website Campaigns.
2.
Sun, Zhibo, Adam Oest, Gianluca Stringhini, et al.. (2024). From Victims to Defenders: An Exploration of the Phishing Attack Reporting Ecosystem. 49–64.
3.
Oest, Adam, Zhibo Sun, Gail‐Joon Ahn, et al.. (2024). Nothing Personal: Understanding the Spread and Use of Personally Identifiable Information in the Financial Ecosystem. 55–65. 1 indexed citations
4.
Colbourn, Charles J., et al.. (2024). Guaranteeing anonymity in attribute-based authorization. Journal of Information Security and Applications. 87. 103895–103895.
5.
6.
Ahn, Gail‐Joon, Guofei Gu, Hongxin Hu, & Seungwon Shin. (2019). Guest Editors’ Introduction: Special Section on Security in Emerging Networking Technologies. IEEE Transactions on Dependable and Secure Computing. 16(6). 913–914. 2 indexed citations
7.
Chowdhary, Ankur, et al.. (2019). SDNSOC. 7–12. 10 indexed citations
8.
Chen, Jing, Kun He, Ziming Zhao, et al.. (2018). Semantics-Aware Privacy Risk Assessment Using Self-Learning Weight Assignment for Mobile Apps. IEEE Transactions on Dependable and Secure Computing. 18(1). 15–29. 9 indexed citations
9.
Cho, Haehyun, et al.. (2018). Prime+Count. 441–452. 29 indexed citations
10.
Sengupta, Sailik, et al.. (2017). A Game Theoretic Approach to Strategy Generation for Moving Target Defense in Web Applications. 178–186. 1 indexed citations
11.
Sengupta, Sailik, Satya Gautam Vadlamudi, Subbarao Kambhampati, et al.. (2017). A Game Theoretic Approach to Strategy Generation for Moving Target Defense in Web Applications. Adaptive Agents and Multi-Agents Systems. 178–186. 19 indexed citations
12.
Vadlamudi, Satya Gautam, Sailik Sengupta, Ziming Zhao, et al.. (2016). Moving Target Defense for Web Applications using Bayesian Stackelberg Games: (Extended Abstract). 1377–1378. 12 indexed citations
13.
Vadlamudi, Satya Gautam, Sailik Sengupta, Ziming Zhao, et al.. (2016). Moving Target Defense for Web Applications using Bayesian Stackelberg Games: (Extended Abstract). Adaptive Agents and Multi-Agents Systems. 1377–1378. 4 indexed citations
14.
Sun, Zhibo, et al.. (2016). Towards Automated Threat Intelligence Fusion. 408–416. 19 indexed citations
15.
16.
Hu, Hongxin, et al.. (2012). Enabling Collaborative data sharing in Google+. 720–725. 22 indexed citations
17.
18.
Shin, Dongwan & Gail‐Joon Ahn. (2005). Role-based privilege and trust management. Computer Systems: Science & Engineering. 20(6). 401–410. 14 indexed citations
19.
Ferrari, Elena & Gail‐Joon Ahn. (2005). Proceedings of the tenth ACM symposium on Access control models and technologies. 6 indexed citations
20.
Shin, Dongwan & Gail‐Joon Ahn. (2004). Role-based Trust Assignment in Trust Management Systems.. 551–558. 1 indexed citations

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.

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