Jörg Daubert
Impact in
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
Papers in
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- Network Security and Intrusion Detection 6
- IoT and Edge/Fog Computing 3
- Peer-to-Peer Network Technologies 3
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- Internet Traffic Analysis and Secure E-voting 10
- Cryptography and Data Security 5
- Privacy-Preserving Technologies in Data 5
- Co-authors
- Panayotis K. Kikiras (5 shared papers)Alexander Wiesmaier (3 shared papers)Max Mühlhäuser (19 shared papers)Emmanouil Vasilomanolakis (4 shared papers)Vangelis Gazis (1 shared paper)Manisha Luthra (1 shared paper)Martin Strohbach (1 shared paper)Mathias Fischer (4 shared papers)
- Journals
- Communications of the ACM (1 paper)Computer Communications (1 paper)Patterns (1 paper)Lecture notes in computer science (2 papers)WIT transactions on the built environment (1 paper)
- Partner nations
- GermanyUnited StatesIsrael
In The Last Decade
Jörg Daubert
23 papers receiving 328 citations
Peers
Comparison fields: 5 of 59
- Computer Networks and Communications 210
- Information Systems 139
- Signal Processing 60
- Artificial Intelligence 130
- Information Systems and Management 15
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 23 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 120 | |
| 2 | 2015 | 60 | |
| 3 | 2016 | 37 | |
| 4 | 2021 | 17 | |
| 5 | 2015 | 16 | |
| 6 | 2018 | 15 | |
| 7 | 2020 | 13 | |
| 8 | 2017 | 10 | |
| 9 | 2014 | 8 | |
| 10 | 2017 | 8 | |
| 11 | 2019 | 7 | |
| 12 | 2013 | 7 | |
| 13 | 2020 | 7 | |
| 14 | 2015 | 6 | |
| 15 | 2015 | 4 | |
| 16 | 2015 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2017 | 3 | |
| 19 | 2017 | 2 | |
| 20 | 2019 | 2 |
About Jörg Daubert
Jörg Daubert is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Sociology and Political Science and Signal Processing, having authored 24 papers that have together received 353 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (10 papers), Privacy, Security, and Data Protection (8 papers), Network Security and Intrusion Detection (6 papers), Cryptography and Data Security (5 papers), Privacy-Preserving Technologies in Data (5 papers), IoT and Edge/Fog Computing (3 papers), Smart Grid Energy Management (3 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Computer Networks and Communications (210 citations), Information Systems (139 citations), Signal Processing (60 citations), Artificial Intelligence (130 citations) and Information Systems and Management (15 citations). Jörg Daubert has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Panayotis K. Kikiras, Alexander Wiesmaier, Max Mühlhäuser, Emmanouil Vasilomanolakis, Vangelis Gazis, Manisha Luthra, Martin Strohbach, Mathias Fischer, Stephen Marsh and Stefan Schiffner. Their work appears in journals such as Communications of the ACM, Computer Communications, Patterns, Lecture notes in computer science and WIT transactions on the built environment.
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.