Jörg Daubert
Impact in
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
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- Network Security and Intrusion Detection 5
- IoT and Edge/Fog Computing 3
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- Internet Traffic Analysis and Secure E-voting 8
- Privacy-Preserving Technologies in Data 5
- Cryptography and Data Security 2
- Co-authors
- Panayotis Kikiras (5 shared papers)Alexander Wiesmaier (3 shared papers)Emmanouil Vasilomanolakis (4 shared papers)Max Mühlhäuser (15 shared papers)Manisha Luthra (1 shared paper)Vangelis Gazis (1 shared paper)Mathias Fischer (3 shared papers)Stephen Marsh (1 shared paper)
- Journals
- Communications of the ACM (1 paper)Computer Communications (1 paper)Patterns (1 paper)WIT transactions on the built environment (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Jörg Daubert
17 papers receiving 225 citations
Peers
Comparison fields: 5 of 49
- Computer Networks and Communications 142
- Signal Processing 47
- Information Systems 86
- Artificial Intelligence 88
- Computer Science Applications 6
Countries citing papers authored by Jörg Daubert
This map shows the geographic impact of Jörg Daubert'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 Jörg Daubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörg Daubert more than expected).
Fields of papers citing papers by Jörg Daubert
This network shows the impact of papers produced by Jörg Daubert. 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 Jörg Daubert. The network helps show where Jörg Daubert may publish in the future.
Co-authors
The 20 scholars most cited alongside Jörg Daubert, 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 | 2015 | 95 | |
| 2 | 2015 | 45 | |
| 3 | 2021 | 16 | |
| 4 | 2015 | 15 | |
| 5 | 2018 | 12 | |
| 6 | 2020 | 12 | |
| 7 | 2017 | 8 | |
| 8 | 2014 | 7 | |
| 9 | 2015 | 5 | |
| 10 | 2019 | 5 | |
| 11 | 2020 | 5 | |
| 12 | 2015 | 3 | |
| 13 | 2018 | 2 | |
| 14 | Improved Distribution of Locally Sourced Energy in Smart Grids During Brownouts and in Times of Energy Scarcity | 2017 | 2 |
| 15 | 2017 | 2 | |
| 16 | 2015 | 2 | |
| 17 | 2019 | 1 | |
| 18 | 2021 | 0 | |
| 19 | 2021 | 0 |
About Jörg Daubert
Jörg Daubert is a scholar working on Computer Networks and Communications, Artificial Intelligence, Sociology and Political Science, Information Systems and Electrical and Electronic Engineering, having authored 19 papers that have together received 237 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (8 papers), Privacy, Security, and Data Protection (7 papers), Privacy-Preserving Technologies in Data (5 papers), Network Security and Intrusion Detection (5 papers), IoT and Edge/Fog Computing (3 papers), Spam and Phishing Detection (2 papers), Cryptography and Data Security (2 papers) and Smart Grid Security and Resilience (2 papers). The work is most often cited by research in Computer Networks and Communications (142 citations), Signal Processing (47 citations), Information Systems (86 citations), Artificial Intelligence (88 citations) and Computer Science Applications (6 citations). Jörg Daubert has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Panayotis Kikiras, Alexander Wiesmaier, Emmanouil Vasilomanolakis, Max Mühlhäuser, Manisha Luthra, Vangelis Gazis, Mathias Fischer, Stephen Marsh, Stefan Schiffner and Christian Meurisch. Their work appears in journals such as Communications of the ACM, Computer Communications, Patterns, WIT transactions on the built environment and DOAJ (DOAJ: Directory of Open Access Journals).
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.