Journal of Cryptology

807 papers and 22.9k indexed citations i.

About

The 807 papers published in Journal of Cryptology in the last decades have received a total of 22.9k indexed citations. Papers published in Journal of Cryptology usually cover Artificial Intelligence (729 papers), Computational Theory and Mathematics (241 papers) and Computer Vision and Pattern Recognition (235 papers) specifically the topics of Cryptography and Data Security (493 papers), Cryptographic Implementations and Security (324 papers) and Coding theory and cryptography (256 papers). The most active scholars publishing in Journal of Cryptology are C. P. Schnorr, Adi Shamir, Eli Biham, Jacques Stern, David Pointcheval, Yehuda Lindell, David Chaum, Ran Canetti, Dan Boneh and Moni Naor.

In The Last Decade

Fields of papers published in Journal of Cryptology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Cryptology. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Cryptology.

Countries where authors publish in Journal of Cryptology

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Cryptology. 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 papers published in Journal of Cryptology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Cryptology 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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