Haakon Ringberg
Impact in
- Computational Mathematics top 10%
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- Network Security and Intrusion Detection
- Software System Performance and Reliability
- Network Traffic and Congestion Control
Papers in
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- Network Security and Intrusion Detection 7
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- Internet Traffic Analysis and Secure E-voting 6
- Anomaly Detection Techniques and Applications 5
- Co-authors
- Jennifer Rexford (5 shared papers)Augustin Soule (4 shared papers)Christophe Diot (3 shared papers)Matthew Roughan (1 shared paper)Balachander Krishnamurthy (1 shared paper)Patrick Haffner (1 shared paper)Nick Duffield (1 shared paper)
- Journals
- ACM SIGCOMM Computer Communication Review (2 papers)ACM SIGMETRICS Performance Evaluation Review (1 paper)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Haakon Ringberg
7 papers receiving 466 citations
Peers
Comparison fields: 5 of 46
- Computational Mathematics 12
- Computer Networks and Communications 416
- Artificial Intelligence 394
- Signal Processing 97
- Statistical and Nonlinear Physics 48
Countries citing papers authored by Haakon Ringberg
This map shows the geographic impact of Haakon Ringberg'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 Haakon Ringberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haakon Ringberg more than expected).
Fields of papers citing papers by Haakon Ringberg
This network shows the impact of papers produced by Haakon Ringberg. 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 Haakon Ringberg. The network helps show where Haakon Ringberg may publish in the future.
Co-authors
The 7 scholars most cited alongside Haakon Ringberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 240 | |
| 2 | 2007 | 132 | |
| 3 | 2008 | 49 | |
| 4 | 2009 | 43 | |
| 5 | 2008 | 16 | |
| 6 | 2007 | 8 | |
| 7 | Privacy-preserving collaborative anomaly detection | 2009 | 7 |
About Haakon Ringberg
Haakon Ringberg is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics and Hardware and Architecture, having authored 7 papers that have together received 495 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (7 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Anomaly Detection Techniques and Applications (5 papers), Network Packet Processing and Optimization (1 paper), Spam and Phishing Detection (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Computational Mathematics (12 citations), Computer Networks and Communications (416 citations), Artificial Intelligence (394 citations), Signal Processing (97 citations) and Statistical and Nonlinear Physics (48 citations). Haakon Ringberg has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Jennifer Rexford, Augustin Soule, Christophe Diot, Matthew Roughan, Balachander Krishnamurthy, Patrick Haffner and Nick Duffield. Their work appears in journals such as ACM SIGCOMM Computer Communication Review and ACM SIGMETRICS Performance Evaluation Review.
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.