D-Index & Metrics Best Publications

Guido Moerkotte

University of Mannheim
Germany

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 35 Citations 5,994 172 World Ranking 7587 National Ranking 360

Overview

What is he best known for?

The fields of study Guido Moerkotte is best known for:

Database
Relational database
Algorithm

Many of his studies on World Wide Web apply to XML, Citation and Index (typography) as well. In his works, Guido Moerkotte performs multidisciplinary study on Citation and World Wide Web. His Programming language research is linked to Set (abstract data type) and Index (typography), among other subjects. Set (abstract data type) and Programming language are commonly linked in his work. His work on Mathematical optimization is being expanded to include thematically relevant topics such as Heuristic and Approximation error. Many of his studies on Heuristic involve topics that are commonly interrelated, such as Mathematical optimization. His Relational database study combines Nested set model and Database theory studies. Nested set model and Relational database are two areas of study in which he engages in interdisciplinary research. In his study, he carries out multidisciplinary Database theory and View research.

His most cited work include:

Heuristic and randomized optimization for the join ordering problem (266 citations)
Querying documents in object databases (245 citations)
Anatomy of a native XML base management system (187 citations)

What are the main themes of his work throughout his whole career to date

Artificial intelligence is often connected to Object (grammar) in his work. His Artificial intelligence research extends to the thematically linked field of Object (grammar). He integrates Programming language with Operating system in his research. He performs integrative study on Operating system and Programming language. Borrowing concepts from Algorithm, Guido Moerkotte weaves in ideas under Theoretical computer science. Guido Moerkotte undertakes multidisciplinary studies into Algorithm and Theoretical computer science in his work. Guido Moerkotte applies his multidisciplinary studies on Database and XML database in his research. XML database is closely attributed to World Wide Web in his work. By researching both World Wide Web and XML, Guido Moerkotte produces research that crosses academic boundaries.

Guido Moerkotte most often published in these fields:

Artificial intelligence (42.86%)
Programming language (42.86%)
Theoretical computer science (42.86%)

What were the highlights of his more recent work (between 2013-2018)?

Combinatorics (60.00%)
Biochemistry (60.00%)
Query optimization (40.00%)

In recent works Guido Moerkotte was focusing on the following fields of study:

His Bounded function research focuses on Mathematical analysis and how it connects with Tree (set theory). As part of his studies on Tree (set theory), Guido Moerkotte often connects relevant areas like Mathematical analysis. His study on Programming language is interrelated to topics such as Predicate (mathematical logic), Joins and Set (abstract data type). Many of his studies on Set (abstract data type) apply to Programming language as well. His study ties his expertise on Join (topology) together with the subject of Combinatorics. Join (topology) is closely attributed to Combinatorics in his study. Many of his studies involve connections with topics such as Argument (complex analysis) and Biochemistry. Guido Moerkotte frequently studies issues relating to Biochemistry and Argument (complex analysis). In his research, he performs multidisciplinary study on Query optimization and Database.

Between 2013 and 2018, his most popular works were:

Improved selectivity estimation by combining knowledge from sampling and synopses (36 citations)
Optimization of conjunctive predicates for main memory column stores (10 citations)
Proximal operator of quotient functions with application to a feasibility problem in query optimization (10 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Heuristic and randomized optimization for the join ordering problem

Michael Steinbrunn;Guido Moerkotte;Alfons Kemper.
very large data bases (1997)

448 Citations

Efficient Storage of XML Data

C. Kanne;G. Moerkotte.
international conference on data engineering (2000)

388 Citations

Anatomy of a native XML base management system

T. Fiebig;S. Helmer;C.-C. Kanne;G. Moerkotte.
very large data bases (2002)

301 Citations

Characteristic sets: Accurate cardinality estimation for RDF queries with multiple joins

Thomas Neumann;Guido Moerkotte.
international conference on data engineering (2011)

272 Citations

Object-oriented database management: applications in engineering and computer science

Alfons Kemper;Guido Moerkotte.
(1994)

261 Citations

Querying Documents in Object Databases

Serge Abiteboul;Sophie Cluet;Vassilis Christophides;Tova Milo.
International Journal on Digital Libraries (1997)

248 Citations

The implementation and performance of compressed databases

Till Westmann;Donald Kossmann;Sven Helmer;Guido Moerkotte.
international conference on management of data (2000)

246 Citations

Access support in object bases

Alfons Kemper;Guido Moerkotte.
international conference on management of data (1990)

234 Citations

Advanced Query Processing in Object Bases Using Access Support Relations

Alfons Kemper;Guido Moerkotte.
very large data bases (1990)

165 Citations

Nested Queries in Object Bases

Sophie Cluet;Guido Moerkotte.
database programming languages (1993)

158 Citations

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