What is he best known for?
The fields of study he is best known for:
- Programming language
- Operating system
- Functional programming
His primary areas of investigation include Programming language, Haskell, Functional programming, Functional reactive programming and Reactive programming.
His Programming language study frequently links to adjacent areas such as Theoretical computer science.
His Haskell study integrates concerns from other disciplines, such as Subroutine, OpenFlow, Very high-level programming language and Implementation.
His Very high-level programming language study combines topics in areas such as Purely functional, Combinatory logic and Subject.
His biological study spans a wide range of topics, including Distributed computing, Reactive system, Simple, Data structure and Domain-specific language.
His Functional reactive programming research includes themes of Event stream and Network control.
His most cited work include:
- Memory coherence in shared virtual memory systems (1102 citations)
- Report on the programming language Haskell: a non-strict, purely functional language version 1.2 (954 citations)
- Functional reactive animation (513 citations)
What are the main themes of his work throughout his whole career to date?
Programming language, Functional programming, Haskell, Theoretical computer science and Functional reactive programming are his primary areas of study.
His study on Programming language is mostly dedicated to connecting different topics, such as Artificial intelligence.
He focuses mostly in the field of Functional programming, narrowing it down to matters related to Declarative programming and, in some cases, Generic programming.
His studies deal with areas such as Commutative property, Monad, Purely functional, Algorithm and Domain-specific language as well as Haskell.
He has included themes like Algorithmic composition, Data type, Parallelism and Abstraction in his Theoretical computer science study.
His Functional reactive programming research is multidisciplinary, incorporating perspectives in Reactive system and State.
He most often published in these fields:
- Programming language (58.02%)
- Functional programming (37.40%)
- Haskell (36.64%)
What were the highlights of his more recent work (between 2010-2018)?
- Haskell (36.64%)
- Programming language (58.02%)
- Theoretical computer science (24.43%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Haskell, Programming language, Theoretical computer science, Functional reactive programming and Functional programming.
His Haskell research integrates issues from Musical composition, Computer music, Musical, OpenFlow and Synchronization.
Programming language and Network control are frequently intertwined in his study.
His study in Theoretical computer science is interdisciplinary in nature, drawing from both Abstraction, Algorithmic composition, A-normal form, Dataflow and Arrow.
His Functional reactive programming research is multidisciplinary, incorporating elements of Commutative property, Reactive system, Stream processing and Algorithm.
As a part of the same scientific study, Paul Hudak usually deals with the Functional programming, concentrating on Animation and frequently concerns with Multimedia.
Between 2010 and 2018, his most popular works were:
- Maple: simplifying SDN programming using algorithmic policies (186 citations)
- Nettle: taking the sting out of programming network routers (99 citations)
- Grammar-based automated music composition in Haskell (24 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Operating system
- Functional programming
Paul Hudak mainly investigates Haskell, Programming language, Theoretical computer science, OpenFlow and Functional reactive programming.
In his study, Functional programming, SIGNAL, Code and Human–computer interaction is inextricably linked to Musical composition, which falls within the broad field of Haskell.
He frequently studies issues relating to Variety and Programming language.
His work deals with themes such as Abstraction, Commutative property, Graph, Semantics and Generative grammar, which intersect with Theoretical computer science.
His OpenFlow research is multidisciplinary, relying on both Tracing and Programmer.
The various areas that Paul Hudak examines in his Functional reactive programming study include Event stream, Stream processing and Network control.
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