Krystian Matusiewicz

34 total papers · 489 total citations
9 papers, 43 citations indexed

About

Krystian Matusiewicz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Krystian Matusiewicz has authored 9 papers receiving a total of 43 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Krystian Matusiewicz's work include Cryptographic Implementations and Security (6 papers), Chaos-based Image/Signal Encryption (4 papers) and Coding theory and cryptography (3 papers). Krystian Matusiewicz is often cited by papers focused on Cryptographic Implementations and Security (6 papers), Chaos-based Image/Signal Encryption (4 papers) and Coding theory and cryptography (3 papers). Krystian Matusiewicz collaborates with scholars based in United States, Australia and Poland. Krystian Matusiewicz's co-authors include Christian Rechberger, Lars R. Knudsen, Søren S. Thomsen, Praveen Gauravaram, Florian Mendel, Martin Schläffer, Josef Pieprzyk, Norbert Pramstaller, Ron Steinfeld and Vincent Rijmen and has published in prestigious journals such as IEEE Design and Test, Cryptography and International Journal of Electronics and Telecommunications.

In The Last Decade

Krystian Matusiewicz

8 papers receiving 38 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Krystian Matusiewicz	32	17	11	8	6	9	43
Lingjie Xu	26 0.8×	28 1.6×	15 1.4×	14 1.8×	9 1.5×	8	68
Masayuki Kanda	38 1.2×	24 1.4×	9 0.8×	10 1.3×	2 0.3×	8	44
Aleksei Udovenko	48 1.5×	33 1.9×	12 1.1×	8 1.0×	11 1.8×	15	59
Xiaoshuang Ma	24 0.8×	16 0.9×	12 1.1×	4 0.5×	5 0.8×	13	57
Meltem Sönmez Turan	41 1.3×	6 0.4×	15 1.4×	10 1.3×	9 1.5×	10	54
Erik Zenner	39 1.2×	34 2.0×	6 0.5×	11 1.4×	9 1.5×	12	56
Mohammad Mahdi Kamani	39 1.2×	26 1.5×	7 0.6×	11 1.4×	11 1.8×	11	70
Jorge Nakahara	68 2.1×	39 2.3×	19 1.7×	6 0.8×	7 1.2×	11	74
Phuoc Pham	12 0.4×	11 0.6×	8 0.7×	3 0.4×	5 0.8×	7	37
Maki Shigeri	40 1.3×	24 1.4×	4 0.4×	3 0.4×	3 0.5×	9	42

Countries citing papers authored by Krystian Matusiewicz

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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