What is he best known for?
The fields of study he is best known for:
- Database
- Programming language
- XML
His main research concerns Database, Information retrieval, Programming language, XML and Decidability.
Alin Deutsch interconnects Web service, Web page, Web mapping, Web modeling and Data Web in the investigation of issues within Database.
Alin Deutsch studies Information retrieval, namely Query language.
His work on Process, Functional verification and Model checking as part of general Programming language research is often related to Business rule and Artifact-centric business process model, thus linking different fields of science.
His Decidability study integrates concerns from other disciplines, such as Data exchange and Open problem.
His work on XML schema and XML Signature as part of his general Document Structure Description study is frequently connected to RDF query language, thereby bridging the divide between different branches of science.
His most cited work include:
- A query language for XML (546 citations)
- Storing semistructured data with STORED (482 citations)
- XML-QL: A Query Language for XML (402 citations)
What are the main themes of his work throughout his whole career to date?
Alin Deutsch spends much of his time researching Programming language, Theoretical computer science, Data integrity, Information retrieval and Query language.
His Theoretical computer science research is multidisciplinary, incorporating elements of Class, Algorithm, Rewriting and Chase.
His research in Data integrity intersects with topics in Relational model, Conjunctive query, Set and Database schema.
He has included themes like XML validation, XML Encryption, Document Structure Description, Database and XML Schema Editor in his Information retrieval study.
His Document Structure Description study which covers Streaming XML that intersects with XML database and XML Signature.
The concepts of his Query language study are interwoven with issues in XML, XQuery and Query optimization.
He most often published in these fields:
- Programming language (26.32%)
- Theoretical computer science (25.44%)
- Data integrity (20.18%)
What were the highlights of his more recent work (between 2015-2021)?
- Artifact (9.65%)
- Static analysis (5.26%)
- IBM (6.14%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Artifact, Static analysis, IBM, Programming language and Theoretical computer science.
Alin Deutsch interconnects Query language and Carry in the investigation of issues within Programming language.
His research on Query language concerns the broader Information retrieval.
The study incorporates disciplines such as Graph database, Graph and Graph in addition to Theoretical computer science.
In Workflow, Alin Deutsch works on issues like Computer engineering, which are connected to Decidability.
His Data modeling research includes elements of XML, Operational semantics, JSON and Programming paradigm.
Between 2015 and 2021, his most popular works were:
- VERIFAS: a practical verifier for artifact systems (22 citations)
- Verification of Hierarchical Artifact Systems (20 citations)
- Datalography: Scaling datalog graph analytics on graph processing systems (13 citations)
In his most recent research, the most cited papers focused on:
- Database
- Programming language
- XML
Alin Deutsch focuses on Artifact, IBM, Static analysis, Analytics and Programming language.
His Analytics research is multidisciplinary, incorporating elements of Query language, Graph database, Java and NoSQL.
His study in Graph database is interdisciplinary in nature, drawing from both Datalog, Dataflow and Asynchronous communication.
Alin Deutsch does research in Programming language, focusing on SQL specifically.
Alin Deutsch integrates Context and Theoretical computer science in his studies.
Alin Deutsch has included themes like Graph and Distributed database in his Theoretical computer science study.
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