What is he best known for?
The fields of study he is best known for:
- Cryptography
- Operating system
- Programming language
His primary areas of study are Theoretical computer science, Computer security, Cryptography, Encryption and Random oracle.
His research integrates issues of Homomorphic encryption, Mathematical proof, Set, Protocol and Computation in his study of Theoretical computer science.
As part of the same scientific family, Jonathan Katz usually focuses on Computation, concentrating on Commitment scheme and intersecting with Secure two-party computation, Secure multi-party computation and Divide and choose.
His study looks at the relationship between Computer security and topics such as Distributed computing, which overlap with Wireless sensor network, Overhead and Resilience.
His Cryptography research is multidisciplinary, incorporating elements of Verifiable secret sharing and Key exchange, Blind signature, Public-key cryptography.
His Random oracle study incorporates themes from ElGamal signature scheme, Standard model, Schnorr signature and Identification.
His most cited work include:
- Introduction to Modern Cryptography (1269 citations)
- A pairwise key predistribution scheme for wireless sensor networks (952 citations)
- Predicate encryption supporting disjunctions, polynomial equations, and inner products (882 citations)
What are the main themes of his work throughout his whole career to date?
Jonathan Katz focuses on Theoretical computer science, Computer security, Cryptography, Encryption and Secure multi-party computation.
His work investigates the relationship between Theoretical computer science and topics such as Random oracle that intersect with problems in Standard model.
Public-key cryptography, Adversary, Authenticated Key Exchange, Cryptographic protocol and Password are the primary areas of interest in his Computer security study.
His Cryptography research is multidisciplinary, relying on both Scheme, Homomorphic encryption, Digital signature and Authentication.
His studies in Probabilistic encryption, 40-bit encryption, Attribute-based encryption, Ciphertext and Cryptosystem are all subfields of Encryption research.
His work in the fields of Secure two-party computation overlaps with other areas such as Protocol.
He most often published in these fields:
- Theoretical computer science (41.52%)
- Computer security (28.61%)
- Cryptography (28.10%)
What were the highlights of his more recent work (between 2016-2021)?
- Theoretical computer science (41.52%)
- Protocol (14.43%)
- Computer network (9.87%)
In recent papers he was focusing on the following fields of study:
Jonathan Katz mainly investigates Theoretical computer science, Protocol, Computer network, Computer security and Secure multi-party computation.
The study incorporates disciplines such as Fuzzy extractor, Set, Construct, Hash function and Biometric data in addition to Theoretical computer science.
Jonathan Katz has included themes like Telecommunications network, Average consensus, Consensus and Cryptocurrency in his Protocol study.
His work carried out in the field of Computer network brings together such families of science as Fraction and Constant.
Computer security is closely attributed to Compromise in his study.
His Secure multi-party computation research is multidisciplinary, incorporating perspectives in Stateless protocol and Distributed computing.
Between 2016 and 2021, his most popular works were:
- Introduction to Modern Cryptography (Chapman & Hall/CRC Cryptography and Network Security Series) (449 citations)
- Authenticated Garbling and Efficient Maliciously Secure Two-Party Computation (62 citations)
- Global-Scale Secure Multiparty Computation (62 citations)
In his most recent research, the most cited papers focused on:
- Cryptography
- Operating system
- Computer network
His main research concerns Theoretical computer science, Computation, Secure multi-party computation, Protocol and Computer security.
Theoretical computer science and Technical documentation are two areas of study in which Jonathan Katz engages in interdisciplinary research.
His Computation research includes themes of Preprocessor and Parallel computing.
His Secure multi-party computation research is multidisciplinary, relying on both Cryptographic protocol and Block cipher.
Jonathan Katz has included themes like Average consensus, Consensus, Divergence and Probabilistic logic in his Protocol study.
He combines topics linked to Random variable with his work on Computer security.
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