Mattijs Jonker
Impact in
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- Network Security and Intrusion Detection
- Caching and Content Delivery
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
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- Network Security and Intrusion Detection 25
- Caching and Content Delivery 11
- Network Traffic and Congestion Control 5
- Software-Defined Networks and 5G 5
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- Internet Traffic Analysis and Secure E-voting 30
- Co-authors
- Anna SperottoAiko PrasRoland van Rijswijk-DeijAlberto DainottiAlistair KingJohannes KruppChristian RossowRick Hofstede
- Journals
- ACM SIGCOMM Computer Communication Review (3 papers)Journal of Information Security and Applications (1 paper)IEEE Journal on Selected Areas in Communications (1 paper)Journal of Conflict Resolution (1 paper)Journal of Network and Systems Management (2 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Mattijs Jonker
35 papers receiving 430 citations
Peers
Comparison fields: 5 of 40
- Computer Networks and Communications 355
- Signal Processing 110
- Artificial Intelligence 280
- Hardware and Architecture 43
- Information Systems 129
Countries citing papers authored by Mattijs Jonker
This map shows the geographic impact of Mattijs Jonker'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 Mattijs Jonker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mattijs Jonker more than expected).
Fields of papers citing papers by Mattijs Jonker
This network shows the impact of papers produced by Mattijs Jonker. 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 Mattijs Jonker. The network helps show where Mattijs Jonker may publish in the future.
Co-authors
The 25 scholars most cited alongside Mattijs Jonker, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 0 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 4 | |
| 15 | 2021 | 12 | |
| 16 | 2020 | 13 | |
| 17 | 2020 | 9 | |
| 18 | 2017 | 4 | |
| 19 | 2016 | 7 | |
| 20 | 2015 | 10 |
About Mattijs Jonker
Mattijs Jonker is a scholar working on Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Signal Processing and Information Systems, having authored 48 papers that have together received 450 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (30 papers), Network Security and Intrusion Detection (25 papers), IPv6, Mobility, Handover, Networks, Security (12 papers), Caching and Content Delivery (11 papers), Advanced Malware Detection Techniques (6 papers), Spam and Phishing Detection (5 papers), Network Traffic and Congestion Control (5 papers) and Software-Defined Networks and 5G (5 papers). The work is most often cited by research in Computer Networks and Communications (355 citations), Signal Processing (110 citations), Artificial Intelligence (280 citations), Hardware and Architecture (43 citations) and Information Systems (129 citations). Mattijs Jonker has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Anna Sperotto, Aiko Pras, Roland van Rijswijk-Deij, Alberto Dainotti, Alistair King, Johannes Krupp, Christian Rossow, Rick Hofstede, Ramin Sadre and kc claffy. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, Journal of Information Security and Applications, IEEE Journal on Selected Areas in Communications, Journal of Conflict Resolution and Journal of Network and Systems Management.
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.