Kevin P. Dyer

821 citations
6 papers · 524 indexed · 1 hit paper · h-index 6
Topics
Internet Traffic Analysis and Secure E-voting (6 papers)Advanced Malware Detection Techniques (6 papers)Network Security and Intrusion Detection (5 papers)
Journals
ACM SIGCOMM Computer Communication ReviewUSENIX Security Symposium
Partner nations
United States

In The Last Decade

Kevin P. Dyer

6 papers receiving 507 citations

Hit Papers

Peek-a-Boo, I Still See You: Why Efficient Traffic Analys...2012202620162021201250100150200250

Peers

Kevin P. Dyer
Comparison fields: 5 of 26
  • Artificial Intelligence 495
  • Computer Networks and Communications 353
  • Signal Processing 218
  • Information Systems 113
  • Computer Vision and Pattern Recognition 73
Replace Fabian Lanze with:
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Payap Sirinam United States
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Kevin P. Dyer relative to Fabian Lanze Luxembourg Fabian Lanze's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kevin P. Dyer

Since Specialization
Citations

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

Fields of papers citing papers by Kevin P. Dyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin P. Dyer. 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 Kevin P. Dyer. The network helps show where Kevin P. Dyer may publish in the future.

Co-authorship network of co-authors of Kevin P. Dyer

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1
Marionette: a programmable network-traffic obfuscation system
22
2 64
3
LibFTE: a toolkit for constructing practical, format-abiding encryption schemes
12
4 69
5 68
6
Peek-a-Boo, I Still See You: Why Efficient Traffic Analysis Countermeasures Failbreakdown →
289

About Kevin P. Dyer

Kevin P. Dyer is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 6 papers that have together received 524 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (6 papers), Advanced Malware Detection Techniques (6 papers) and Network Security and Intrusion Detection (5 papers). The work is most often cited by research in Signal Processing (218 citations), Computer Networks and Communications (353 citations) and Artificial Intelligence (495 citations). Kevin P. Dyer has collaborated with scholars based in United States. Frequent co-authors include Scott E. Coull, Thomas Shrimpton, Thomas Ristenpart, Aditya Akella, Daniel Luchaup and Somesh Jha. Their work appears in journals such as ACM SIGCOMM Computer Communication Review and USENIX 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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