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.
Countries citing papers authored by Josef Pieprzyk
Since
Specialization
Citations
This map shows the geographic impact of Josef Pieprzyk'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 Josef Pieprzyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josef Pieprzyk more than expected).
This network shows the impact of papers produced by Josef Pieprzyk. 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 Josef Pieprzyk. The network helps show where Josef Pieprzyk may publish in the future.
Co-authorship network of co-authors of Josef Pieprzyk
This figure shows the co-authorship network connecting the top 25 collaborators of Josef Pieprzyk.
A scholar is included among the top collaborators of Josef Pieprzyk 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 Josef Pieprzyk. Josef Pieprzyk is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cai, Li, Jiankun Hu, Josef Pieprzyk, & Willy Susilo. (2015). A new bio-cryptosystem-oriented security analysis framework and implementation of multibiometric cryptosystems based on decision level fusion. Research Online (University of Wollongong).1 indexed citations
9.
Pieprzyk, Josef, et al.. (2012). Cryptanalysis of RC4-based hash function. QUT ePrints (Queensland University of Technology). 33–38.1 indexed citations
10.
Morawiecki, Paweł, et al.. (2012). Rotational cryptanalysis of round-reduced Keccak. QUT ePrints (Queensland University of Technology). 2012. 546.2 indexed citations
11.
Pieprzyk, Josef. (2010). Topics in Cryptology - CT-RSA 2010 : the Cryptographers' Track at the RSA Conference 2010, San Fancisco, CA, USA, March 1-5, 2010 : proceedings. Springer eBooks.1 indexed citations
12.
Pieprzyk, Josef, et al.. (2008). Security analysis of Australian and E.U. e-passport implementation. QUT ePrints (Queensland University of Technology).7 indexed citations
Pieprzyk, Josef, et al.. (2008). A FAIR E-TENDERING PROTOCOL. QUT ePrints (Queensland University of Technology). 294–299.2 indexed citations
15.
Pieprzyk, Josef, et al.. (2007). An Algebraic Analysis of Trivium Ciphers based on the Boolean Satisfiability Problem.. QUT ePrints (Queensland University of Technology). 2007. 129–184.9 indexed citations
16.
Cho, Joo Yeon & Josef Pieprzyk. (2004). Algebraic attacks on SOBER-t32 and SOBER-t16 without stuttering. Science & Engineering Faculty.3 indexed citations
Courtois, Nicolas T. & Josef Pieprzyk. (2002). Cryptanalysis of Block Ciphers with Overdefined Systems of Equations.. IACR Cryptology ePrint Archive. 2002. 44.42 indexed citations
19.
Seberry, Jennifer, Tianbing Xia, & Josef Pieprzyk. (2000). Construction of cubic homogeneous boolean bent functions. Research Online (University of Wollongong). 22. 233–245.3 indexed citations
20.
Pieprzyk, Josef, et al.. (1995). Advances in cryptology, ASIACRYPT '94 : 4th International Conference on the Theory and Applications of Cryptology, Wollongong, Australia, November 28-December 1, 1994 : proceedings. Springer eBooks.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.