Ted Krovetz
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Information Systems
- Hardware and Architecture
- Co-authors
- Phillip RogawayMihir BellareJohn BlackViet Tung HoangJ. H. BlackShai HaleviHaiquan ChenHugo Krawczyk
- Topics
- Cryptographic Implementations and Security (8 papers)Coding theory and cryptography (5 papers)Chaos-based Image/Signal Encryption (5 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- Journal of CryptologyCryptography
- Partner nations
- United StatesThailandIsrael
In The Last Decade
Ted Krovetz
10 papers receiving 145 citations
Peers
Comparison fields: 5 of 15
- Artificial Intelligence 120
- Computer Vision and Pattern Recognition 65
- Computer Networks and Communications 57
- Information Systems 18
- Hardware and Architecture 15
Countries citing papers authored by Ted Krovetz
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | RC6 and RC5 Test Vectors For Multiple Block Sizes | 1 |
| 5 | OCB For Block Ciphers Without 128-Bit Blocks | 1 |
| 6 | AEZ v1.1: Authenticated-Encryption by Enciphering | 7 |
| 7 | Variationally Universal Hashing | 2 |
| 8 | 6 | |
| 9 | 117 | |
| 10 | Software-optimized universal hashing and message authentication | 14 |
| 11 | UMAC: Fast and Secure Message Authentication | 1 |
About Ted Krovetz
Ted Krovetz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 11 papers that have together received 153 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (8 papers), Coding theory and cryptography (5 papers) and Chaos-based Image/Signal Encryption (5 papers). The work is most often cited by research in Artificial Intelligence (120 citations), Computer Vision and Pattern Recognition (65 citations) and Computer Networks and Communications (57 citations). Ted Krovetz has collaborated with scholars based in United States, Thailand and Israel. Frequent co-authors include Phillip Rogaway, Mihir Bellare, John Black, Viet Tung Hoang, J. H. Black, Shai Halevi, Haiquan Chen, Hugo Krawczyk and Yuan Cheng. Their work appears in journals such as Journal of Cryptology and Cryptography.
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.