Jon Oberheide

2.0k citations
12 papers · 1.0k indexed · 1 hit paper · h-index 10

Jon Oberheide

12 papers receiving 956 citations

Hit Papers

Internet inter-domain traffic4082010202620152020100200300400

Peers

Jon Oberheide
Comparison fields: 5 of 50
  • Computer Networks and Communications 805
  • Signal Processing 317
  • Software 58
  • Information Systems 291
  • Artificial Intelligence 326
Replace Robert Braden with:
Robert Braden United States
Maurizio Matteo Munafò Italy
Behrouz Tork Ladani Iran
Salman Baset United States
Danny McPherson United States
Matteo Maffei Germany
Riccardo Torlone Italy
Daniele Sgandurra Italy
Grégoire Jacob France
İbrahim Soğukpınar Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Jon Oberheide

Since Specialization
Citations

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

Fields of papers citing papers by Jon Oberheide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 11 scholars most cited alongside Jon Oberheide, 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 Jon Oberheide Line = papers co-authored together Jon Oberheide links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Proceedings of the 7th USENIX conference on Offensive Technologies
20134
2 201332
3 2010127
4 201052
5
Internet inter-domain trafficbreakdown →
2010408
6
PolyPack: an automated online packing service for optimal antivirus evasion
200928
7
If it ain't broke, don't fix it: challenges and new directions for inferring the impact of software patches
20099
8
CloudAV: N-version antivirus in the network cloud
2008184
9 2008124
10
Rethinking antivirus: executable analysis in the network cloud
200732
11 200615
12 200612

About Jon Oberheide

Jon Oberheide is a scholar working on Software, Signal Processing, Computer Networks and Communications, Virology and Information Systems, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (7 papers), Network Security and Intrusion Detection (5 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Network Traffic and Congestion Control (3 papers), Software Testing and Debugging Techniques (3 papers), Caching and Content Delivery (3 papers), Spam and Phishing Detection (2 papers) and Software Reliability and Analysis Research (2 papers). The work is most often cited by research in Computer Networks and Communications (805 citations), Signal Processing (317 citations), Software (58 citations), Information Systems (291 citations) and Artificial Intelligence (326 citations). Jon Oberheide has collaborated with scholars based in United States and Mexico. Frequent co-authors include Farnam Jahanian, Danny McPherson, Craig Labovitz, Evan Cooke, Jason Flinn, Kaushik Veeraraghavan, William Robertson, Michael Bailey, Manish Karir and Engin Kirda. 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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