Scott E. Coull

2.1k total citations · 1 hit paper
25 papers, 1.2k citations indexed

About

Scott E. Coull is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Scott E. Coull has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 15 papers in Computer Networks and Communications and 8 papers in Signal Processing. Recurrent topics in Scott E. Coull's work include Internet Traffic Analysis and Secure E-voting (16 papers), Network Security and Intrusion Detection (14 papers) and Privacy-Preserving Technologies in Data (8 papers). Scott E. Coull is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (16 papers), Network Security and Intrusion Detection (14 papers) and Privacy-Preserving Technologies in Data (8 papers). Scott E. Coull collaborates with scholars based in United States, Italy and India. Scott E. Coull's co-authors include Fabian Monrose, Kevin P. Dyer, Charles V. Wright, Thomas Shrimpton, Thomas Ristenpart, Bolesław K. Szymański, Lucas Ballard, Gerald M. Masson, Michael K. Reiter and Michael P. Collins and has published in prestigious journals such as ACM SIGCOMM Computer Communication Review, Computational Statistics & Data Analysis and Computers & Security.

In The Last Decade

Scott E. Coull

25 papers receiving 1.2k citations

Hit Papers

Peek-a-Boo, I Still See You: Why Efficient Traffic Analys... 2012 2026 2016 2021 2012 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott E. Coull United States 15 1.1k 794 523 266 123 25 1.2k
Prahlad Fogla United States 8 628 0.6× 792 1.0× 568 1.1× 261 1.0× 55 0.4× 10 979
Gaopeng Gou China 16 670 0.6× 562 0.7× 253 0.5× 219 0.8× 139 1.1× 85 844
Roger Dingledine United States 13 877 0.8× 645 0.8× 173 0.3× 169 0.6× 83 0.7× 28 990
Juan Caballero Spain 23 833 0.8× 1.0k 1.3× 1.2k 2.3× 1.0k 3.8× 40 0.3× 57 1.8k
Harold Joseph Highland United States 10 326 0.3× 424 0.5× 288 0.6× 206 0.8× 68 0.6× 74 706
Shlomo Hershkop United States 13 388 0.4× 433 0.5× 212 0.4× 348 1.3× 40 0.3× 24 708
Yongzheng Zhang China 14 469 0.4× 443 0.6× 256 0.5× 177 0.7× 41 0.3× 90 634
Charlie Kaufman United States 11 415 0.4× 502 0.6× 114 0.2× 314 1.2× 106 0.9× 18 840
Steffen Wendzel Germany 14 495 0.5× 298 0.4× 304 0.6× 158 0.6× 333 2.7× 77 771
Nino Vincenzo Verde Italy 12 407 0.4× 375 0.5× 160 0.3× 145 0.5× 34 0.3× 22 629

Countries citing papers authored by Scott E. Coull

Since Specialization
Citations

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

Fields of papers citing papers by Scott E. Coull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott E. Coull. 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 Scott E. Coull. The network helps show where Scott E. Coull may publish in the future.

Co-authorship network of co-authors of Scott E. Coull

This figure shows the co-authorship network connecting the top 25 collaborators of Scott E. Coull. A scholar is included among the top collaborators of Scott E. Coull 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 Scott E. Coull. Scott E. Coull 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.
Coull, Scott E., et al.. (2023). Efficient Malware Analysis Using Metric Embeddings. 5(1). 1–20. 4 indexed citations
2.
Demetrio, Luca, Scott E. Coull, Battista Biggio, et al.. (2021). Adversarial EXEmples. ACM Transactions on Privacy and Security. 24(4). 1–31. 71 indexed citations
3.
Dyer, Kevin P., Scott E. Coull, & Thomas Shrimpton. (2015). Marionette: a programmable network-traffic obfuscation system. USENIX Security Symposium. 367–382. 22 indexed citations
4.
Dyer, Kevin P., Scott E. Coull, Thomas Ristenpart, & Thomas Shrimpton. (2013). Protocol misidentification made easy with format-transforming encryption. 61–72. 68 indexed citations
5.
Coull, Scott E., et al.. (2012). Toward efficient querying of compressed network payloads. USENIX Annual Technical Conference. 10–10. 7 indexed citations
6.
Dyer, Kevin P., Scott E. Coull, Thomas Ristenpart, & Thomas Shrimpton. (2012). Peek-a-Boo, I Still See You: Why Efficient Traffic Analysis Countermeasures Fail. 332–346. 289 indexed citations breakdown →
7.
Coull, Scott E., Andrew M. White, Ting-Fang Yen, Fabian Monrose, & Michael K. Reiter. (2012). Understanding domain registration abuses. Computers & Security. 31(7). 806–815. 9 indexed citations
8.
Coull, Scott E. & Erin Kenneally. (2012). A Qualitative Risk Assessment Framework for Sharing Computer Network Data. SSRN Electronic Journal. 7 indexed citations
9.
Coull, Scott E., Fabian Monrose, & Michael Bailey. (2011). On Measuring the Similarity of Network Hosts: Pitfalls, New Metrics, and Empirical Analyses.. Network and Distributed System Security Symposium. 14 indexed citations
10.
Coull, Scott E., et al.. (2011). Bounded vector signatures and their applications. 277–285. 3 indexed citations
11.
Wright, Charles V., Lucas Ballard, Scott E. Coull, Fabian Monrose, & Gerald M. Masson. (2010). Uncovering Spoken Phrases in Encrypted Voice over IP Conversations. ACM Transactions on Information and System Security. 13(4). 1–30. 36 indexed citations
12.
Monrose, Fabian & Scott E. Coull. (2009). Methods for evaluating the privacy of anonymized network data. 1 indexed citations
13.
Coull, Scott E., Fabian Monrose, Michael K. Reiter, & Michael Bailey. (2009). The Challenges of Effectively Anonymizing Network Data. 230–236. 20 indexed citations
14.
Coull, Scott E. & Bolesław K. Szymański. (2009). On the development of an internetwork-centric defense for scanning worms. Computers & Security. 28(7). 637–647. 4 indexed citations
15.
Wright, Charles V., Lucas Ballard, Scott E. Coull, Fabian Monrose, & Gerald M. Masson. (2008). Spot Me if You Can: Uncovering Spoken Phrases in Encrypted VoIP Conversations. 35–49. 140 indexed citations
16.
Coull, Scott E. & Bolesław K. Szymański. (2008). Sequence alignment for masquerade detection. Computational Statistics & Data Analysis. 52(8). 4116–4131. 47 indexed citations
17.
Coull, Scott E., Charles V. Wright, Angelos D. Keromytis, Fabian Monrose, & Michael K. Reiter. (2008). Taming the Devil: Techniques for Evaluating Anonymized Network Data. Columbia Academic Commons (Columbia University). 32 indexed citations
18.
Coull, Scott E., Michael P. Collins, Charles V. Wright, Fabian Monrose, & Michael K. Reiter. (2007). On web browsing privacy in anonymized NetFlows. 23. 36 indexed citations
19.
Coull, Scott E., Charles V. Wright, Fabian Monrose, Michael P. Collins, & Michael K. Reiter. (2007). Playing Devil's Advocate: Inferring Sensitive Information from Anonymized Network Traces.. 70 indexed citations
20.
Coull, Scott E., et al.. (2006). Tracking Anonymous Peer-to- Peer VoIP Calls on the Internet. 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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