Elmar Tischhauser

1.4k total citations · 1 hit paper
19 papers, 440 citations indexed

About

Elmar Tischhauser is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Elmar Tischhauser has authored 19 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Elmar Tischhauser's work include Coding theory and cryptography (10 papers), Chaos-based Image/Signal Encryption (9 papers) and Cryptographic Implementations and Security (9 papers). Elmar Tischhauser is often cited by papers focused on Coding theory and cryptography (10 papers), Chaos-based Image/Signal Encryption (9 papers) and Cryptographic Implementations and Security (9 papers). Elmar Tischhauser collaborates with scholars based in Denmark, Belgium and Austria. Elmar Tischhauser's co-authors include Yu Wang, Jinguang Han, Weizhi Meng, Qingju Wang, Andrey Bogdanov, Subhadeep Banik, Atul Luykx, Svetla Nikova⋆, Andrey Bogdanov and Vincent Rijmen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Elmar Tischhauser

17 papers receiving 414 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

When Intrusion Detection Meets Blockchain Technology: A Review

2018 347 citations Weizhi Meng, Elmar Tischhauser et al. IEEE Access profile →

Peers

Elmar Tischhauser

IS

CNC

AI

SP

CVPR

Flavio Lombardi Italy

Carla Merkle Westphall Brazil

Mustafa Al‐Fayoumi Jordan

Tan Soo Fun Malaysia

Taek-Young Youn South Korea

Eder J. Scheid Switzerland

N. Weiler Switzerland

Abdullah Bawakid United Kingdom

Ron Ruhl Canada

Debabrata Dash Switzerland

Flavio Lombardi Italy

Elmar Tischhauser

422 ×1.7

IS

287 ×1.3

CNC

222 ×1.1

AI

119 ×1.3

SP

35 ×0.4

CVPR

Citations per year, relative to Elmar Tischhauser Elmar Tischhauser (= 1×) peers Flavio Lombardi

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 of co-authors of Elmar Tischhauser

This figure shows the co-authorship network connecting the top 25 collaborators of Elmar Tischhauser. A scholar is included among the top collaborators of Elmar Tischhauser 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 Elmar Tischhauser. Elmar Tischhauser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

1.

Krüger, Björn, et al.. (2025). The Newer, the More Secure? Standards-Compliant Bluetooth Low Energy Man-in-the-Middle Attacks on Fitness Trackers. Sensors. 25(6). 1815–1815.

2.

Andreeva, Elena, Andrey Bogdanov, Nilanjan Datta, et al.. (2024). The COLM Authenticated Encryption Scheme. Journal of Cryptology. 37(2). 1 indexed citations

3.

Kölbl, Stefan, Elmar Tischhauser, Patrick Derbez, & Andrey Bogdanov. (2019). Troika: a ternary cryptographic hash function. Designs Codes and Cryptography. 88(1). 91–117. 3 indexed citations

4.

Banik, Subhadeep, Andrey Bogdanov, Atul Luykx, & Elmar Tischhauser. (2018). SUNDAE: Small Universal Deterministic Authenticated Encryption for the Internet of Things. IACR Transactions on Symmetric Cryptology. 1–35. 14 indexed citations

5.

Meng, Weizhi, Elmar Tischhauser, Qingju Wang, Yu Wang, & Jinguang Han. (2018). When Intrusion Detection Meets Blockchain Technology: A Review. IEEE Access. 6. 10179–10188. 347 indexed citations breakdown →

6.

Bogdanov, Andrey, et al.. (2018). Multivariate Profiling of Hulls for Linear Cryptanalysis. SHILAP Revista de lepidopterología. 2 indexed citations

7.

Bogdanov, Andrey, et al.. (2018). Multivariate Profiling of Hulls for Linear Cryptanalysis. IACR Transactions on Symmetric Cryptology. 101–125. 4 indexed citations

8.

Banik, Subhadeep, Andrey Bogdanov, Atul Luykx, & Elmar Tischhauser. (2018). SUNDAE: Small Universal Deterministic Authenticated Encryption for the Internet of Things. SHILAP Revista de lepidopterología. 13 indexed citations

9.

Bogdanov, Andrey, et al.. (2017). Cache timing attacks on recent microarchitectures. 155–155. 5 indexed citations

10.

Andreeva, Elena, Andrey Bogdanov, Atul Luykx, et al.. (2013). Parallelizable and Authenticated Online Ciphers. Lecture notes in computer science. 2013. 424–443.

11.

Bogdanov, Andrey, Elif Bilge Kavun, Elmar Tischhauser, & Tolga Yalçın. (2013). Large-scale high-resolution computational validation of novel complexity models in linear cryptanalysis. Journal of Computational and Applied Mathematics. 259. 592–598. 2 indexed citations

12.

Tischhauser, Elmar, et al.. (2012). A Model for Structure Attacks, with Applications to PRESENT and Serpent. Lecture notes in computer science. 7549. 49–68. 4 indexed citations

13.

Bogdanov, Andrey, Lars R. Knudsen, Gregor Leander, et al.. (2012). Key-Alternating Ciphers in a Provable Setting: Encryption Using A Small Number of Public Permutations. Lecture notes in computer science. 2012. 35–62. 5 indexed citations

14.

Bogdanov, Andrey, Lars R. Knudsen, Gregor Leander, et al.. (2012). Key-Alternating Ciphers in a Provable Setting: Encryption Using a Small Number of Public Permutations (Extended Abstract). 45–62. 3 indexed citations

15.

Tischhauser, Elmar. (2011). Nonsmooth cryptanalysis, with an application to the stream cipher MICKEY. Journal of Mathematical Cryptology. 4(4). 317–348. 2 indexed citations

16.

Schiffner, Stefan, Andreas Pashalidis, & Elmar Tischhauser. (2011). On the limits of privacy in reputation systems. 33–42. 5 indexed citations

17.

Tischhauser, Elmar, et al.. (2010). Improved Collision Attacks on the Reduced-Round Grøstl Hash Function. Lecture notes in computer science. 3 indexed citations

18.

Barreto, Paulo S. L. M., Ventzislav Nikov, Svetla Nikova⋆, Vincent Rijmen, & Elmar Tischhauser. (2010). Whirlwind: a new cryptographic hash function. Designs Codes and Cryptography. 56(2-3). 141–162. 17 indexed citations

19.

Indesteege, Sebastiaan, Elena Andreeva, Christophe De Cannière, et al.. (2009). The Lane hash function. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 0. 10 indexed citations

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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