Steve Sheng

2.6k total citations · 2 hit papers
13 papers, 1.7k citations indexed

About

Steve Sheng is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Steve Sheng has authored 13 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 6 papers in Artificial Intelligence and 5 papers in Sociology and Political Science. Recurrent topics in Steve Sheng's work include Spam and Phishing Detection (10 papers), User Authentication and Security Systems (3 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Steve Sheng is often cited by papers focused on Spam and Phishing Detection (10 papers), User Authentication and Security Systems (3 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Steve Sheng collaborates with scholars based in United States and India. Steve Sheng's co-authors include Lorrie Faith Cranor, Ponnurangam Kumaraguru, Julie S. Downs, Jason Hong, Alessandro Acquisti, Brad Wardman, Gary Warner, Sharique Hasan, Aleecia M. McDonald and Serge Egelman and has published in prestigious journals such as Electronic Commerce Research and Applications, ACM Transactions on Internet Technology and Figshare.

In The Last Decade

Steve Sheng

13 papers receiving 1.5k citations

Hit Papers

Who falls for phish? 2010 2026 2015 2020 2010 2010 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve Sheng United States 9 1.2k 614 517 401 177 13 1.7k
Robert W. Reeder United States 20 817 0.7× 907 1.5× 337 0.7× 512 1.3× 83 0.5× 38 1.5k
Carlos Jensen United States 22 839 0.7× 747 1.2× 191 0.4× 378 0.9× 258 1.5× 63 1.9k
Kami Vaniea United Kingdom 24 743 0.6× 644 1.0× 338 0.7× 385 1.0× 87 0.5× 70 1.4k
Nalin Asanka Gamagedara Arachchilage Australia 15 754 0.6× 377 0.6× 295 0.6× 250 0.6× 43 0.2× 44 1.1k
Emilee Rader United States 18 548 0.4× 659 1.1× 179 0.3× 356 0.9× 99 0.6× 41 1.4k
Sibel Adalı United States 19 732 0.6× 917 1.5× 337 0.7× 842 2.1× 39 0.2× 80 1.9k
Heather Richter Lipford United States 30 836 0.7× 1.4k 2.3× 403 0.8× 724 1.8× 272 1.5× 78 2.4k
Sascha Fahl Germany 24 1.7k 1.3× 600 1.0× 1.3k 2.5× 660 1.6× 142 0.8× 68 2.3k
Akshay Java United States 12 838 0.7× 714 1.2× 91 0.2× 754 1.9× 102 0.6× 30 2.4k
Pedro Giovanni Leon United States 14 661 0.5× 1.5k 2.4× 257 0.5× 517 1.3× 125 0.7× 23 1.9k

Countries citing papers authored by Steve Sheng

Since Specialization
Citations

This map shows the geographic impact of Steve Sheng'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 Steve Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Sheng more than expected).

Fields of papers citing papers by Steve Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve Sheng. 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 Steve Sheng. The network helps show where Steve Sheng may publish in the future.

Co-authorship network of co-authors of Steve Sheng

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Sheng. A scholar is included among the top collaborators of Steve Sheng 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 Steve Sheng. Steve Sheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Sheng, Steve, et al.. (2018). An Empirical Analysis of Phishing Blacklists. Figshare. 95 indexed citations
3.
Kumaraguru, Ponnurangam, et al.. (2018). Teaching Johnny Not to Fall for Phish. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 2 indexed citations
4.
Sheng, Steve & Lorrie Faith Cranor. (2018). An Evaluation of the Effect of US Financial Privacy Legislation Through the Analysis of Privacy Policies. Figshare. 4 indexed citations
5.
Newton, Andrew, et al.. (2011). A RESTful Web Service for Internet Name and Address Directory Services.. 36. 1 indexed citations
6.
Downs, Julie S., et al.. (2010). Are your participants gaming the system?. 2399–2402. 326 indexed citations breakdown →
7.
Sheng, Steve, et al.. (2010). Who falls for phish?. 373–382. 406 indexed citations breakdown →
8.
Kumaraguru, Ponnurangam, Steve Sheng, Alessandro Acquisti, Lorrie Faith Cranor, & Jason Hong. (2010). Teaching Johnny not to fall for phish. ACM Transactions on Internet Technology. 10(2). 1–31. 266 indexed citations
9.
Sheng, Steve, Ponnurangam Kumaraguru, Alessandro Acquisti, Lorrie Faith Cranor, & Jason Hong. (2009). Improving phishing countermeasures: An analysis of expert interviews. 1–15. 15 indexed citations
10.
Cranor, Lorrie Faith, Serge Egelman, Steve Sheng, Aleecia M. McDonald, & Abdur Chowdhury. (2008). P3P deployment on websites. Electronic Commerce Research and Applications. 7(3). 274–293. 42 indexed citations
11.
Kumaraguru, Ponnurangam, Steve Sheng, Alessandro Acquisti, Lorrie Faith Cranor, & Jason Hong. (2008). Lessons from a real world evaluation of anti-phishing training. 1–12. 68 indexed citations
12.
Kumaraguru, Ponnurangam, Steve Sheng, Sharique Hasan, et al.. (2007). Getting users to pay attention to anti-phishing education. 70–81. 90 indexed citations
13.
Sheng, Steve, et al.. (2007). Anti-Phishing Phil. 88–99. 335 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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