Parisa Tabriz

723 citations
10 papers · 437 indexed · h-index 9
Topics
Network Security and Intrusion Detection (10 papers)Internet Traffic Analysis and Secure E-voting (6 papers)Advanced Malware Detection Techniques (5 papers)
Journals
USENIX Security SymposiumOSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)CU Scholar (University of Colorado Boulder)

In The Last Decade

Parisa Tabriz

10 papers receiving 408 citations

Peers

Parisa Tabriz
Comparison fields: 5 of 31
  • Artificial Intelligence 343
  • Computer Networks and Communications 267
  • Information Systems 115
  • Signal Processing 112
  • Electrical and Electronic Engineering 56
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Citations per year

Countries citing papers authored by Parisa Tabriz

Since Specialization
Citations

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

Fields of papers citing papers by Parisa Tabriz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parisa Tabriz

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1
Fixing HTTPS Misconfigurations at Scale: An Experiment with Security Notifications
9
2 24
3
Measuring {HTTPS} Adoption on the Web
70
4 19
5
Denial of Service or Denial of Security? How Attacks on Reliability can Compromise Anonymity
47
6 91
7
Shining Light in Dark Places: A Study of Anonymous Network Usage ; CU-CS-1032-07
12
8
Passive data link layer 802.11 wireless device driver fingerprinting
150
9 14
10
A case study of the insider threat through modification to legacy network security architectures.
1

About Parisa Tabriz

Parisa Tabriz is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 10 papers that have together received 437 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (10 papers), Internet Traffic Analysis and Secure E-voting (6 papers) and Advanced Malware Detection Techniques (5 papers). The work is most often cited by research in Computer Networks and Communications (267 citations), Artificial Intelligence (343 citations) and Signal Processing (112 citations). Parisa Tabriz has collaborated with scholars based in United States, Belgium and India. Frequent co-authors include Nikita Borisov, George Danezis, Prateek Mittal, Damon McCoy, Douglas Sicker, Jason Franklin, Adrienne Porter Felt, Richard Barnes, Emily Stark and Adam J. Lee. Their work appears in journals such as USENIX Security Symposium, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) and CU Scholar (University of Colorado Boulder).

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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