Bernhard Dieber
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Peter SchartnerBernhard RinnerStefan RaßSeverin KaciankaChristian MicheloniLukas EsterleMathias BrandstötterMichael Hofbaur
- Topics
- Advanced Malware Detection Techniques (7 papers)Energy Efficient Wireless Sensor Networks (6 papers)Security and Verification in Computing (4 papers)
- Journals
- SensorsIEEE Transactions on Circuits and Systems for Video TechnologyRobotics and Autonomous Systems
- Partner nations
- AustriaUnited StatesItaly
In The Last Decade
Bernhard Dieber
25 papers receiving 396 citations
Peers
Comparison fields: 5 of 51
- Computer Networks and Communications 181
- Artificial Intelligence 115
- Signal Processing 113
- Information Systems 101
- Computer Vision and Pattern Recognition 80
Countries citing papers authored by Bernhard Dieber
This map shows the geographic impact of Bernhard Dieber'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 Bernhard Dieber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernhard Dieber more than expected).
Fields of papers citing papers by Bernhard Dieber
This network shows the impact of papers produced by Bernhard Dieber. 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 Bernhard Dieber. The network helps show where Bernhard Dieber may publish in the future.
Co-authorship network of co-authors of Bernhard Dieber
This figure shows the co-authorship network connecting the top 25 collaborators of Bernhard Dieber. A scholar is included among the top collaborators of Bernhard Dieber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bernhard Dieber. Bernhard Dieber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | Case study: Remote attack to disable MiR100 safety | 3 |
| 8 | 26 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 101 | |
| 12 | 56 | |
| 13 | 51 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | Distributed resource-aware task assignment for complex monitoring scenarios in Visual Sensor Networks | 18 |
| 17 | 13 | |
| 18 | 4 | |
| 19 | 71 | |
| 20 | 0 |
About Bernhard Dieber
Bernhard Dieber is a scholar working on Signal Processing, Medical Laboratory Technology and Computer Networks and Communications, having authored 26 papers that have together received 416 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (7 papers), Energy Efficient Wireless Sensor Networks (6 papers) and Security and Verification in Computing (4 papers). The work is most often cited by research in Signal Processing (113 citations), Computer Networks and Communications (181 citations) and Software (18 citations). Bernhard Dieber has collaborated with scholars based in Austria, United States and Italy. Frequent co-authors include Peter Schartner, Bernhard Rinner, Stefan Raß, Severin Kacianka, Christian Micheloni, Lukas Esterle, Mathias Brandstötter, Michael Hofbaur, Horst Pichler and Quanyan Zhu. Their work appears in journals such as Sensors, IEEE Transactions on Circuits and Systems for Video Technology and Robotics and Autonomous Systems.
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.