Mario Lamberger

886 total citations
12 papers, 82 citations indexed

About

Mario Lamberger is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Mathematical Physics. According to data from OpenAlex, Mario Lamberger has authored 12 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Mathematical Physics. Recurrent topics in Mario Lamberger's work include Cryptographic Implementations and Security (6 papers), Chaos-based Image/Signal Encryption (5 papers) and Coding theory and cryptography (4 papers). Mario Lamberger is often cited by papers focused on Cryptographic Implementations and Security (6 papers), Chaos-based Image/Signal Encryption (5 papers) and Coding theory and cryptography (4 papers). Mario Lamberger collaborates with scholars based in Austria, Germany and Belgium. Mario Lamberger's co-authors include Vincent Rijmen, Jörg Μ. Thuswaldner, Florian Mendel, Christian Rechberger, Norbert Pramstaller, Martin Schläffer, Fréderik Vercauteren, Joan Daemen, Alex Biryukov and Ivica Nikolić and has published in prestigious journals such as IEEE Transactions on Information Theory, Lecture notes in computer science and Computing.

In The Last Decade

Mario Lamberger

12 papers receiving 78 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mario Lamberger Austria 5 47 38 14 13 11 12 82
Henryk Michalewski Poland 5 47 1.0× 14 0.4× 30 2.1× 17 1.3× 4 0.4× 22 103
Mousomi Roy India 9 31 0.7× 125 3.3× 10 0.7× 25 1.9× 9 0.8× 15 142
John Steinberger China 6 32 0.7× 13 0.3× 7 0.5× 25 1.9× 1 0.1× 17 69
R. Hobincu Romania 5 15 0.3× 43 1.1× 9 0.6× 12 0.9× 31 2.8× 12 70
S. H. Kang China 3 11 0.2× 65 1.7× 16 1.1× 16 1.2× 9 0.8× 5 72
Jacques Mandler France 2 21 0.4× 7 0.2× 8 0.6× 29 2.2× 8 0.7× 3 77
Bert den Boer Netherlands 5 62 1.3× 28 0.7× 3 0.2× 11 0.8× 2 0.2× 5 80
Daniel R. L. Brown Canada 5 55 1.2× 16 0.4× 1 0.1× 13 1.0× 7 0.6× 11 85
M.J. Coster Netherlands 5 94 2.0× 15 0.4× 9 0.6× 42 3.2× 9 135
Vasyl Ustimenko Poland 8 152 3.2× 15 0.4× 8 0.6× 45 3.5× 11 1.0× 47 168

Countries citing papers authored by Mario Lamberger

Since Specialization
Citations

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

Fields of papers citing papers by Mario Lamberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Lamberger

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

All Works

12 of 12 papers shown
1.
Lamberger, Mario, Florian Mendel, Martin Schläffer, Christian Rechberger, & Vincent Rijmen. (2013). The Rebound Attack and Subspace Distinguishers: Application to Whirlpool. Journal of Cryptology. 28(2). 257–296. 17 indexed citations
2.
Lamberger, Mario, et al.. (2012). Memoryless near-collisions, revisited. Information Processing Letters. 113(3). 60–66. 2 indexed citations
3.
Biryukov, Alex, Mario Lamberger, Florian Mendel, & Ivica Nikolić. (2011). Second-Order Differential Collisions for Reduced SHA-256. Lecture notes in computer science. 7073. 270–287. 2 indexed citations
4.
Lamberger, Mario, Florian Mendel, Vincent Rijmen, & Koen Simoens. (2011). Memoryless near-collisions via coding theory. Designs Codes and Cryptography. 62(1). 1–18. 5 indexed citations
5.
Lamberger, Mario, et al.. (2009). Rebound Distinguishers: Results on the Full Whirlpool Compression Function. Lecture notes in computer science. 5912. 126–143. 4 indexed citations
6.
Daemen, Joan, Mario Lamberger, Norbert Pramstaller, Vincent Rijmen, & Fréderik Vercauteren. (2009). Computational aspects of the expected differential probability of 4-round AES and AES-like ciphers. Computing. 85(1-2). 85–104. 16 indexed citations
7.
Lamberger, Mario, Norbert Pramstaller, Christian Rechberger, & Vincent Rijmen. (2008). Analysis of the Hash Function Design Strategy Called SMASH. IEEE Transactions on Information Theory. 54(8). 3647–3655. 8 indexed citations
8.
Lamberger, Mario. (2006). On a family of singular measures related to Minkowski's?(x) function. Indagationes Mathematicae. 17(1). 45–63. 3 indexed citations
9.
Teufl, Peter, et al.. (2005). Hybrid Engine for Polymorphic Code Detection. 19–31. 2 indexed citations
10.
Lamberger, Mario, et al.. (2005). Traffic Classification using Self-Organizing Maps. 11–18. 1 indexed citations
11.
Lamberger, Mario & Jörg Μ. Thuswaldner. (2003). Distribution properties of digital expansions arising from linear recurrences. Mathematica Slovaca. 53(1). 1–20. 21 indexed citations
12.
Lamberger, Mario. (2002). Probabilistic and dynamical properties of number systems. 1 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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