What is he best known for?
The fields of study he is best known for:
- Programming language
- Object-oriented programming
- Functional programming
Martin Odersky mostly deals with Programming language, Scala, Java, Object-oriented programming and Functional programming.
The study incorporates disciplines such as Type checking and Code generation in addition to Programming language.
He combines subjects such as Abstract data type, Generic programming and Process management with his study of Scala.
Martin Odersky usually deals with Java and limits it to topics linked to Parametric polymorphism and Strengths and weaknesses, First-generation programming language and Very high-level programming language.
Within one scientific family, Martin Odersky focuses on topics pertaining to Type theory under Object-oriented programming, and may sometimes address concerns connected to Soundness, Type family and Algebraic data type.
His Compiler course of study focuses on Parallel computing and Software.
His most cited work include:
- Making the future safe for the past: adding genericity to the Java programming language (482 citations)
- An Overview of the Scala Programming Language (458 citations)
- Pizza into Java: translating theory into practice (386 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Programming language, Scala, Compiler, Theoretical computer science and Programming paradigm.
His research combines Parallel computing and Programming language.
His study explores the link between Scala and topics such as Macro that cross with problems in Metaprogramming and Programmer.
His work in the fields of Compiler, such as Compiler construction, intersects with other areas such as Digital subscriber line.
In his work, Type is strongly intertwined with Soundness, which is a subfield of Theoretical computer science.
The concepts of his Domain-specific language study are interwoven with issues in CUDA and Code generation.
He most often published in these fields:
- Programming language (66.86%)
- Scala (43.79%)
- Compiler (20.12%)
What were the highlights of his more recent work (between 2013-2020)?
- Scala (43.79%)
- Programming language (66.86%)
- Compiler (20.12%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Scala, Programming language, Compiler, Semantics and Theoretical computer science.
His Scala study incorporates themes from Context, Object, Object type, Initialization and Bytecode.
Programming language is closely attributed to Parallel computing in his research.
Martin Odersky has researched Compiler in several fields, including Python, Agile software development, External Data Representation, Plug-in and Source code.
His Semantics research incorporates themes from Implicit function, Metaprogramming, Concurrency, Generalization and Programming paradigm.
The various areas that Martin Odersky examines in his Theoretical computer science study include Construct and Data structure.
Between 2013 and 2020, his most popular works were:
- Delite: A Compiler Architecture for Performance-Oriented Embedded Domain-Specific Languages (115 citations)
- The Essence of Dependent Object Types (47 citations)
- Hardware system synthesis from Domain-Specific Languages (45 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Object-oriented programming
- Functional programming
The scientist’s investigation covers issues in Scala, Programming language, Semantics, Programming paradigm and Embedding.
His Scala study integrates concerns from other disciplines, such as Subtyping, Object type, Object-oriented programming, Simple and Range.
Programming language is represented through his Component, Serialization, Concurrent computing, Functional programming and Top-down parsing research.
While the research belongs to areas of Semantics, Martin Odersky spends his time largely on the problem of Compiler, intersecting his research to questions surrounding Implicit function, Generalization, Metaprogramming, Parallel computing and CUDA.
His work focuses on many connections between Programming paradigm and other disciplines, such as Domain-specific language, that overlap with his field of interest in Data structure, Code generation, Computer hardware and Design knowledge.
His Embedding research focuses on Theoretical computer science and how it connects with Concurrency.
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