Ted Krovetz

1.6k total citations
11 papers, 153 citations indexed

About

Ted Krovetz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Ted Krovetz has authored 11 papers receiving a total of 153 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Ted Krovetz's work include Cryptographic Implementations and Security (8 papers), Coding theory and cryptography (5 papers) and Chaos-based Image/Signal Encryption (5 papers). Ted Krovetz is often cited by papers focused on Cryptographic Implementations and Security (8 papers), Coding theory and cryptography (5 papers) and Chaos-based Image/Signal Encryption (5 papers). Ted Krovetz collaborates with scholars based in United States, Thailand and Israel. Ted Krovetz's co-authors include Phillip Rogaway, Mihir Bellare, John Black, Viet Tung Hoang, J. H. Black, Shai Halevi, Haiquan Chen, Hugo Krawczyk and Yuan Cheng and has published in prestigious journals such as Journal of Cryptology and Cryptography.

In The Last Decade

Ted Krovetz

10 papers receiving 145 citations

Peers

Ted Krovetz
Ted Krovetz
Citations per year, relative to Ted Krovetz Ted Krovetz (= 1×) peers Olivier Billet

Countries citing papers authored by Ted Krovetz

Since Specialization
Citations

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

Fields of papers citing papers by Ted Krovetz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ted Krovetz

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

All Works

11 of 11 papers shown
1.
Cheng, Yuan, et al.. (2023). A Secure Distributed Learning Framework Using Homomorphic Encryption. 1–9. 1 indexed citations
2.
Krovetz, Ted & Phillip Rogaway. (2021). The Design and Evolution of OCB. Journal of Cryptology. 34(4). 3 indexed citations
3.
4.
Krovetz, Ted. (2018). RC6 and RC5 Test Vectors For Multiple Block Sizes. 1 indexed citations
5.
Krovetz, Ted. (2018). OCB For Block Ciphers Without 128-Bit Blocks. 1 indexed citations
6.
Hoang, Viet Tung, et al.. (2014). AEZ v1.1: Authenticated-Encryption by Enciphering. 7 indexed citations
7.
Krovetz, Ted & Phillip Rogaway. (2011). Variationally Universal Hashing. 2 indexed citations
8.
Rogaway, Phillip, Mihir Bellare, J. H. Black, & Ted Krovetz. (2001). OCB. 6 indexed citations
9.
Rogaway, Phillip, Mihir Bellare, John Black, & Ted Krovetz. (2001). OCB. 196–205. 117 indexed citations
10.
Rogaway, Phillip & Ted Krovetz. (2000). Software-optimized universal hashing and message authentication. 14 indexed citations
11.
Halevi, Shai, et al.. (1999). UMAC: Fast and Secure Message Authentication. 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.

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