Joan Daemen

64 papers and 565 indexed citations
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About

Joan Daemen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Joan Daemen has authored 64 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 36 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. Recurrent topics in Joan Daemen’s work include Cryptographic Implementations and Security (38 papers), Chaos-based Image/Signal Encryption (33 papers) and Coding theory and cryptography (25 papers). Joan Daemen is often cited by papers focused on Cryptographic Implementations and Security (38 papers), Chaos-based Image/Signal Encryption (33 papers) and Coding theory and cryptography (25 papers). Joan Daemen collaborates with scholars based in Netherlands, Belgium and Switzerland. Joan Daemen's co-authors include Vincent Rijmen, Gilles Van Assche, Ronny Van Keer, Michaël Peeters, Guido Bertoni, Christoph Dobraunig, Joos Vandewalle, René Govaerts, Robert Primas and Florian Mendel and has published in prestigious journals such as Frontiers in Immunology, Applied Mathematics and Computation and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Joan Daemen

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

Fields of papers citing papers by Joan Daemen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Joan Daemen

Since Specialization
Citations

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

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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