Peter Kieseberg

2.6k citations
59 papers · 850 indexed · h-index 17

Peter Kieseberg

54 papers receiving 787 citations

Peers

Peter Kieseberg
Comparison fields: 5 of 115
  • Health Informatics 49
  • Signal Processing 180
  • Information Systems 352
  • Artificial Intelligence 328
  • Computer Networks and Communications 175
Replace Maurice van Keulen with:
Maurice van Keulen Netherlands
Alex Ng Australia
Linyi Yang China
Rafał Kozik Poland
Moninder Singh United States
Kaijie Zhu China
Ismail Keshta Saudi Arabia
Gregory Falco United States
Yuan Wu China
Peter Kieseberg relative to Maurice van Keulen Netherlands Maurice van Keulen's profile →
Citations per field
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Maurice van Keulen · 1×
Citations per year

Countries citing papers authored by Peter Kieseberg

Since Specialization
Citations

This map shows the geographic impact of Peter Kieseberg'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 Peter Kieseberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Kieseberg more than expected).

Fields of papers citing papers by Peter Kieseberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Kieseberg. 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 Peter Kieseberg. The network helps show where Peter Kieseberg may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Peter Kieseberg, 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 Peter Kieseberg Line = papers co-authored together Peter Kieseberg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3
An Analysis of 5 Million OpenPGP Keys.
20203
4
KANDINSKY Patterns: A Swiss-Knife for the Study of Explainable AI.
20201
5
Penetration Testing Artificial Intelligence
20202
6 20191
7
Can we Trust Machine Learning Results? Artificial Intelligence in Safety-Critical Decision Support.
201814
8
Interactive Anonymization for Privacy aware Machine Learning
20173
9
Security Testing for Mobile Applications.
20170
10
Detection of Data Leaks in Collaborative Data Driven Research.
20161
11
Trust for the Doctor-in-the-Loop
20161
12 201618
13
Privacy Aware Machine Learning and the "Right to be Forgotten".
20165
14
CyberROAD: Developing a Roadmap for Research in Cybercrime and Cyberterrorism.
20151
15
A Structured Approach to Defence Simulation Training.
20151
16 201535
17 20154
18
Genie in a Model? Why Model Driven Security will not secure your Web Application.
20142
19 20149
20
Guess Who's Texting You? Evaluating the Security of Smartphone Messaging Applications.
201270

About Peter Kieseberg

Peter Kieseberg is a scholar working on Signal Processing, Information Systems, Hardware and Architecture, Artificial Intelligence and Health Informatics, having authored 59 papers that have together received 850 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (19 papers), Digital and Cyber Forensics (11 papers), Privacy-Preserving Technologies in Data (10 papers), Privacy, Security, and Data Protection (6 papers), Physical Unclonable Functions (PUFs) and Hardware Security (6 papers), Information and Cyber Security (6 papers), User Authentication and Security Systems (6 papers) and Adversarial Robustness in Machine Learning (5 papers). The work is most often cited by research in Health Informatics (49 citations), Signal Processing (180 citations), Information Systems (352 citations), Artificial Intelligence (328 citations) and Computer Networks and Communications (175 citations). Peter Kieseberg has collaborated with scholars based in Austria, Germany and Netherlands. Frequent co-authors include Edgar Weippl, Andreas Holzinger, Sebastian Schrittwieser, A Min Tjoa, Martin Mulazzani, Peter Frühwirt, Markus Huber, Eduard Fosch‐Villaronga, Manuel Leithner and Katharina Krombholz. Their work appears in journals such as Computers & Security, Future Internet, Brain Informatics, Digital Investigation and Forest Ecology and 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.

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