Stephen Tse
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Artificial Intelligence top 5%
- Security and Verification in Computing
- Logic, programming, and type systems
Papers in
-
- Security and Verification in Computing 7
- Logic, programming, and type systems 4
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- Advanced Malware Detection Techniques 6
- Co-authors
- Steve Zdancewic (5 shared papers)Karthikeyan Bhargavan (3 shared papers)Cédric Fournet (3 shared papers)Andrew D. Gordon (2 shared papers)Michael Hicks (2 shared papers)Nikhil Swamy (1 shared paper)Andrew Gordon (1 shared paper)
- Journals
- ACM Transactions on Programming Languages and Systems (2 papers)ACM SIGPLAN Notices (1 paper)ScholarlyCommons (University of Pennsylvania) (3 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Stephen Tse
12 papers receiving 313 citations
Peers
Comparison fields: 5 of 15
- Signal Processing 136
- Artificial Intelligence 296
- Computer Networks and Communications 165
- Information Systems 139
- Hardware and Architecture 22
Countries citing papers authored by Stephen Tse
This map shows the geographic impact of Stephen Tse'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 Stephen Tse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Tse more than expected).
Fields of papers citing papers by Stephen Tse
This network shows the impact of papers produced by Stephen Tse. 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 Stephen Tse. The network helps show where Stephen Tse may publish in the future.
Co-authors
The 7 scholars most cited alongside Stephen Tse, 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 | 2006 | 56 | |
| 2 | 2008 | 43 | |
| 3 | 2004 | 41 | |
| 4 | 2004 | 40 | |
| 5 | 2006 | 36 | |
| 6 | 19th IEEE Computer Security Foundations Workshop, (CSFW-19 2006), 5-7 July 2006, Venice, Italy | 2006 | 36 |
| 7 | 2007 | 27 | |
| 8 | 2004 | 27 | |
| 9 | Dynamic updating of information-flo w policies | 2005 | 26 |
| 10 | Typed Intermediate Languages | 2004 | 2 |
| 11 | Concise Concrete Syntax | 2008 | 1 |
| 12 | Dynamic security policies | 2007 | 1 |
About Stephen Tse
Stephen Tse is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Networks and Communications and Sociology and Political Science, having authored 12 papers that have together received 336 indexed citations. Recurring topics across this work include Security and Verification in Computing (7 papers), Advanced Malware Detection Techniques (6 papers), Logic, programming, and type systems (4 papers), Access Control and Trust (3 papers), Advanced Authentication Protocols Security (2 papers), Cloud Data Security Solutions (2 papers), User Authentication and Security Systems (2 papers) and Digital Rights Management and Security (1 paper). The work is most often cited by research in Signal Processing (136 citations), Artificial Intelligence (296 citations), Computer Networks and Communications (165 citations), Information Systems (139 citations) and Hardware and Architecture (22 citations). Stephen Tse has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Steve Zdancewic, Karthikeyan Bhargavan, Cédric Fournet, Andrew D. Gordon, Michael Hicks, Nikhil Swamy and Andrew Gordon. Their work appears in journals such as ACM Transactions on Programming Languages and Systems, ACM SIGPLAN Notices and ScholarlyCommons (University of Pennsylvania).
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.