David Barrera

1.3k citations
27 papers · 700 indexed · 1 hit paper · h-index 11
Topics
Advanced Malware Detection Techniques (14 papers)Network Security and Intrusion Detection (8 papers)Internet Traffic Analysis and Secure E-voting (6 papers)

In The Last Decade

David Barrera

27 papers receiving 646 citations

Hit Papers

A methodology for empirical analysis of permission-based ...20102026201520202010100200300

Peers

David Barrera
Comparison fields: 5 of 53
  • Signal Processing 480
  • Computer Networks and Communications 357
  • Information Systems 355
  • Artificial Intelligence 229
  • Software 159
Replace Vasant Tendulkar with:
Vasant Tendulkar United States
Sooel Son South Korea
Matthew Finifter United States
X. Sean Wang China
Luyi Xing United States
Steven H. H. Ding Canada
Simon P. Chung United States
Paul Pearce United States
Zhemin Yang China
David Barrera relative to Vasant Tendulkar United States Vasant Tendulkar's profile →
Citations per field
00.5×1.5×
Vasant Tendulkar · 1×
Citations per year

Countries citing papers authored by David Barrera

Since Specialization
Citations

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

Fields of papers citing papers by David Barrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Barrera

This figure shows the co-authorship network connecting the top 25 collaborators of David Barrera. A scholar is included among the top collaborators of David Barrera 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 David Barrera. David Barrera 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
#WorkIndexed citations
1 1
2 1
3 3
4 10
5 2
6 9
7 15
8 21
9 5
10 10
11 4
12 13
13 28
14
Meteor: Seeding a Security-Enhancing Infrastructure for Multi-market Application Ecosystems
14
15 34
16 36
17
A methodology for empirical analysis of permission-based security models and its application to androidbreakdown →
327
18 1
19
FiGD: An Open Source Intellectual Property Violation Detector
3
20 8

About David Barrera

David Barrera is a scholar working on Signal Processing, Information Systems and Software, having authored 27 papers that have together received 700 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (14 papers), Network Security and Intrusion Detection (8 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). The work is most often cited by research in Signal Processing (480 citations), Software (159 citations) and Information Systems (355 citations). David Barrera has collaborated with scholars based in Canada, Switzerland and United States. Frequent co-authors include Paul C. van Oorschot, Anil Somayaji, H. Güneş Kayacık, Jeremy Clark, Chen Chen, George Danezis, Adrian Perrig, John Aycock, Paweł Szałachowski and Heqing Huang. Their work appears in journals such as Communications of the ACM, IEEE Security & Privacy and Information Visualization.

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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