What is he best known for?
The fields of study he is best known for:
- Programming language
- Operating system
- Software
His main research concerns Programming language, Software engineering, Theoretical computer science, JavaScript and Operating system.
Scheme, Class, Set, Functional programming and Functional reactive programming are among the areas of Programming language where the researcher is concentrating his efforts.
He has included themes like Debugging, Access control, Comparison of multi-paradigm programming languages, Software and Perl in his Software engineering study.
His Theoretical computer science study incorporates themes from Algorithm and Semantics.
The various areas that he examines in his JavaScript study include Event, Web application, Ajax and Operational semantics.
His Operating system study integrates concerns from other disciplines, such as Testbed and Key.
His most cited work include:
- Classes and mixins (390 citations)
- Verification and change-impact analysis of access-control policies (365 citations)
- Participatory networking: an API for application control of SDNs (249 citations)
What are the main themes of his work throughout his whole career to date?
Shriram Krishnamurthi mostly deals with Programming language, Software engineering, World Wide Web, Software and Theoretical computer science.
His study in JavaScript, Semantics, Programming paradigm, Scheme and Operational semantics is carried out as part of his Programming language studies.
He studies JavaScript, namely Unobtrusive JavaScript.
His study in Third-generation programming language, Fourth-generation programming language, Fifth-generation programming language, Second-generation programming language and Functional logic programming falls within the category of Programming paradigm.
His study in Debugging extends to Software engineering with its themes.
Web service and Web modeling are subfields of World Wide Web in which his conducts study.
He most often published in these fields:
- Programming language (38.06%)
- Software engineering (12.55%)
- World Wide Web (10.53%)
What were the highlights of his more recent work (between 2015-2021)?
- Curriculum (6.48%)
- Programming language (38.06%)
- Data science (4.45%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Curriculum, Programming language, Data science, Mathematics education and Artificial intelligence.
His Curriculum research is multidisciplinary, incorporating perspectives in Context, Software engineering and Field.
In general Programming language, his work in Blocking, JavaScript and Execution model is often linked to Racket and Interrupt linking many areas of study.
The Data science study combines topics in areas such as Variety and Overhead.
His research in Mathematics education intersects with topics in Professional development and Host.
His Artificial intelligence study also includes
- Machine learning and related Java,
- Artifact, Source code, Representation, Inference and Lift most often made with reference to Natural language processing,
- Syntactic sugar together with Thesaurus and Construct.
Between 2015 and 2021, his most popular works were:
- A programmable programming language (30 citations)
- Assessing Bootstrap: Algebra Students on Scaffolded and Unscaffolded Word Problems (23 citations)
- The power of "why" and "why not": enriching scenario exploration with provenance (16 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Operating system
- Software
His primary scientific interests are in Programming language, Data science, Implementation, Class and Algebra.
His Programming language study frequently draws parallels with other fields, such as Exploit.
The concepts of his Data science study are interwoven with issues in Variety, Extension, Algorithmics and Programmer.
His Implementation research incorporates elements of Executable and Comprehension.
His study looks at the relationship between Class and topics such as Pedagogy, which overlap with Aliasing.
His studies in Algebra integrate themes in fields like Game design and Personalization.
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