Bernhard Dieber

729 citations
26 papers · 427 · h-index 10

Impact in

Papers in

Bernhard Dieber

25 papers receiving 407 citations

Peers

Bernhard Dieber
Comparison fields: 5 of 51
  • Signal Processing 113
  • Computer Networks and Communications 183
  • Software 19
  • Information Systems 106
  • Computer Vision and Pattern Recognition 80
Replace Hongjun Choi with:
Hongjun Choi South Korea
Georgia Sakellari United Kingdom
Qiben Yan United States
Hauke Petersen Germany
Xiang Shi China
Tobias Hoppe Germany
Michael N. Johnstone Australia
Dale C. Rowe United States
Bernhard Dieber relative to Hongjun Choi South Korea Hongjun Choi's profile →
Citations per field
00.5×2.8×
Hongjun Choi · 1×
Citations per year

Countries citing papers authored by Bernhard Dieber

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 21 scholars most cited alongside Bernhard Dieber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bernhard Dieber Line = papers co-authored together Bernhard Dieber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017106
2 201170
3 201759
4 201652
5 201926
6
Distributed resource-aware task assignment for complex monitoring scenarios in Visual Sensor Networks
201218
7 201913
8 201213
9 20219
10 20119
11 20208
12 20217
13 20175
14 20215
15 20195
16 20134
17 20114
18 20184
19
Case study: Remote attack to disable MiR100 safety
20193
20 20132

About Bernhard Dieber

Bernhard Dieber is a scholar working on Computer Networks and Communications, Signal Processing, Control and Systems Engineering, Artificial Intelligence and Information Systems, having authored 26 papers that have together received 427 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (7 papers), Energy Efficient Wireless Sensor Networks (6 papers), Security and Verification in Computing (4 papers), IoT and Edge/Fog Computing (3 papers), Smart Grid Security and Resilience (3 papers), Computability, Logic, AI Algorithms (2 papers), Data Management and Algorithms (2 papers) and Peer-to-Peer Network Technologies (2 papers). The work is most often cited by research in Signal Processing (113 citations), Computer Networks and Communications (183 citations), Software (19 citations), Information Systems (106 citations) and Computer Vision and Pattern Recognition (80 citations). Bernhard Dieber has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Peter Schartner, Bernhard Rinner, Stefan Raß, Severin Kacianka, Christian Micheloni, Lukas Esterle, Mathias Brandstötter, Horst Pichler, Michael Hofbaur and Víctor Mayoral Vilches. Their work appears in journals such as Robotics and Autonomous Systems, Sensors, IEEE Transactions on Circuits and Systems for Video Technology, e+i Elektrotechnik und Informationstechnik and Journal of Cybersecurity and Privacy.

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.

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