Krystian Matusiewicz
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Information Systems
- Co-authors
- Christian RechbergerLars R. KnudsenJosef PieprzykPraveen GauravaramFlorian MendelMartin SchläfferSøren S. ThomsenNorbert Pramstaller
- Topics
- Cryptographic Implementations and Security (6 papers)Chaos-based Image/Signal Encryption (4 papers)Coding theory and cryptography (3 papers)
- Journals
- IEEE Design and TestCryptographyInternational Journal of Electronics and Telecommunications
- Partner nations
- United StatesAustraliaDenmark
In The Last Decade
Krystian Matusiewicz
8 papers receiving 38 citations
Peers
Comparison fields: 5 of 15
- Artificial Intelligence 33
- Computer Vision and Pattern Recognition 17
- Electrical and Electronic Engineering 11
- Computer Networks and Communications 8
- Information Systems 6
Countries citing papers authored by Krystian Matusiewicz
This map shows the geographic impact of Krystian Matusiewicz'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 Krystian Matusiewicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krystian Matusiewicz more than expected).
Fields of papers citing papers by Krystian Matusiewicz
This network shows the impact of papers produced by Krystian Matusiewicz. 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 Krystian Matusiewicz. The network helps show where Krystian Matusiewicz may publish in the future.
Co-authorship network of co-authors of Krystian Matusiewicz
This figure shows the co-authorship network connecting the top 25 collaborators of Krystian Matusiewicz. A scholar is included among the top collaborators of Krystian Matusiewicz 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 Krystian Matusiewicz. Krystian Matusiewicz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | Analysis of Trivium by a Simulated Annealing variant | 1 |
| 5 | 17 | |
| 6 | 2 | |
| 7 | Analysis of Modern Dedicated Cryptographic Hash Functions | 4 |
| 8 | Analysis of simplified variants of SHA-256 | 7 |
| 9 | Finding good differential patterns for attacks on SHA-1 | 1 |
About Krystian Matusiewicz
Krystian Matusiewicz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 9 papers that have together received 43 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (6 papers), Chaos-based Image/Signal Encryption (4 papers) and Coding theory and cryptography (3 papers). The work is most often cited by research in Artificial Intelligence (33 citations), Hardware and Architecture (6 citations) and Computer Vision and Pattern Recognition (17 citations). Krystian Matusiewicz has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include Christian Rechberger, Lars R. Knudsen, Josef Pieprzyk, Praveen Gauravaram, Florian Mendel, Martin Schläffer, Søren S. Thomsen, Norbert Pramstaller, Vincent Rijmen and Ron Steinfeld. Their work appears in journals such as IEEE Design and Test, Cryptography and International Journal of Electronics and Telecommunications.
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.