Elmar Tischhauser

1.4k citations
19 papers · 440 indexed · 1 hit paper · h-index 6

Elmar Tischhauser

17 papers receiving 414 citations

Hit Papers

When Intrusion Detection Meets Blockchain Technology: A R...3472018202620202023100200300

Peers

Elmar Tischhauser
Comparison fields: 5 of 45
  • Information Systems 255
  • Computer Networks and Communications 220
  • Signal Processing 90
  • Artificial Intelligence 203
  • Computer Vision and Pattern Recognition 83
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Citations per year

Countries citing papers authored by Elmar Tischhauser

Since Specialization
Citations

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

Fields of papers citing papers by Elmar Tischhauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20250
2 20241
3 20193
4 201814
5
When Intrusion Detection Meets Blockchain Technology: A Reviewbreakdown →
2018347
6 20182
7 20184
8 201813
9 20175
10
Parallelizable and Authenticated Online Ciphers
20130
11 20132
12
A Model for Structure Attacks, with Applications to PRESENT and Serpent
20124
13
Key-Alternating Ciphers in a Provable Setting: Encryption Using A Small Number of Public Permutations
20125
14
Key-Alternating Ciphers in a Provable Setting: Encryption Using a Small Number of Public Permutations (Extended Abstract)
20123
15 20112
16 20115
17
Improved Collision Attacks on the Reduced-Round Grøstl Hash Function
20103
18 201017
19 200910

About Elmar Tischhauser

Elmar Tischhauser is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 19 papers that have together received 440 indexed citations. Recurring topics across this work include Coding theory and cryptography (10 papers), Chaos-based Image/Signal Encryption (9 papers), Cryptographic Implementations and Security (9 papers), Cryptography and Data Security (3 papers), graph theory and CDMA systems (3 papers), DNA and Biological Computing (2 papers), Advanced Malware Detection Techniques (2 papers) and User Authentication and Security Systems (1 paper). The work is most often cited by research in Information Systems (255 citations), Computer Networks and Communications (220 citations) and Signal Processing (90 citations). Elmar Tischhauser has collaborated with scholars based in Denmark, Belgium and Austria. Frequent co-authors include Yu Wang, Jinguang Han, Weizhi Meng, Qingju Wang, Andrey Bogdanov, Subhadeep Banik, Atul Luykx, Svetla Nikova⋆, Andrey Bogdanov and Vincent Rijmen. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

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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