Drew Dean

1.2k citations
15 papers · 786 · h-index 11

Impact in

Papers in

    • Security and Verification in Computing 6
    • Internet Traffic Analysis and Secure E-voting 3
    • Logic, programming, and type systems 2
    • Coding theory and cryptography 2
    • Advanced Malware Detection Techniques 8

Drew Dean

15 papers receiving 652 citations

Peers

Drew Dean
Comparison fields: 5 of 33
  • Signal Processing 301
  • Computer Networks and Communications 447
  • Artificial Intelligence 543
  • Software 59
  • Hardware and Architecture 87
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Citations per field
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Citations per year

Countries citing papers authored by Drew Dean

Since Specialization
Citations

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

Fields of papers citing papers by Drew Dean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Drew Dean, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Drew Dean Line = papers co-authored together Drew Dean links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1997159
2
Using client puzzles to protect TLS
2001137
3
Model Checking One Million Lines of C Code.
200499
4
Web Spoofing: An Internet Con Game
199795
5 200269
6
Setuid Demystified
200250
7 199746
8
Reading between the lines: lessons from the SDMI challenge
200143
9
Fixing races for fun and profit: how to use access(2)
200428
10
Java security: Web browsers and beyond
199726
11
Lessons Learned in Game Development for Crowdsourced Software Formal Verification
201512
12
Cryptography as a Network Service
200010
13
Cryptology As a Network Service.
20016
14 20044
15 19972

About Drew Dean

Drew Dean is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 786 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (8 papers), Security and Verification in Computing (6 papers), Distributed systems and fault tolerance (3 papers), Network Security and Intrusion Detection (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Logic, programming, and type systems (2 papers), Software Testing and Debugging Techniques (2 papers) and Coding theory and cryptography (2 papers). The work is most often cited by research in Signal Processing (301 citations), Computer Networks and Communications (447 citations), Artificial Intelligence (543 citations), Software (59 citations) and Hardware and Architecture (87 citations). Drew Dean has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Adam Stubblefield, Dan S. Wallach, Edward W. Felten, Dirk Balfanz, Hao Chen, David Wagner, Matthew Franklin, David A. Wagner, Hao Chen and Alan J. Hu. Their work appears in journals such as ACM Transactions on Information and System Security, Journal of Computer Security, ACM SIGOPS Operating Systems Review, USENIX Security Symposium 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.

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