Curve25519: New Diffie-Hellman Speed Records
Impact in
Classified as
- Authors
- Daniel J. Bernstein
In The Last Decade
doi.org/10.1007/11745853_14 →Countries where authors are citing Curve25519: New Diffie-Hellman Speed Records
This map shows the geographic impact of Curve25519: New Diffie-Hellman Speed Records. 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 Curve25519: New Diffie-Hellman Speed Records with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Curve25519: New Diffie-Hellman Speed Records more than expected).
Fields of papers citing Curve25519: New Diffie-Hellman Speed Records
This network shows the impact of Curve25519: New Diffie-Hellman Speed Records. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Curve25519: New Diffie-Hellman Speed Records.
About Curve25519: New Diffie-Hellman Speed Records
This paper, published in 2006, received 639 indexed citations . Written by Daniel J. Bernstein covering the research area of Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Artificial Intelligence (548 citations), Information Systems (378 citations), Computer Networks and Communications (152 citations), Computer Vision and Pattern Recognition (97 citations) and Computational Theory and Mathematics (54 citations). Published in Lecture notes in computer science.
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.
This paper is also available at doi.org/10.1007/11745853_14.