H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 56 Citations 17,896 299 World Ranking 2057 National Ranking 32

Research.com Recognitions

Awards & Achievements

2012 - ACM Fellow For contributions to parallel and distributed data management.

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Database
  • Programming language

Patrick Valduriez mainly focuses on Distributed database, Distributed computing, Theoretical computer science, Query optimization and Parallel database. His Distributed database research is multidisciplinary, relying on both Replication, Data integration and Distributed transaction. His Replication study incorporates themes from Data management, Distributed algorithm, Distributed design patterns, World Wide Web and Distributed concurrency control.

His research investigates the link between Distributed transaction and topics such as Cloud computing that cross with problems in Overhead. Patrick Valduriez has researched Distributed computing in several fields, including Scheduling, Workflow engine, Workflow and Parallel processing. His research in Parallel database intersects with topics in Database tuning and Dataflow.

His most cited work include:

  • Principles of Distributed Database Systems (1778 citations)
  • Join indices (477 citations)
  • Distributed and parallel database systems (420 citations)

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

Patrick Valduriez focuses on Database, Distributed computing, Query optimization, Distributed database and Parallel computing. He combines subjects such as Information retrieval, Data mining and Speedup with his study of Database. His study explores the link between Distributed computing and topics such as Cloud computing that cross with problems in Scheduling.

His Query optimization research integrates issues from Query language, Query expansion, Web search query, Sargable and View. His Query language research incorporates themes from Query by Example, SQL and RDF query language. His studies in Distributed database integrate themes in fields like Parallel database and Data management.

He most often published in these fields:

  • Database (26.57%)
  • Distributed computing (23.43%)
  • Query optimization (10.87%)

What were the highlights of his more recent work (between 2013-2021)?

  • Workflow (7.97%)
  • Database (26.57%)
  • Distributed computing (23.43%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Workflow, Database, Distributed computing, Cloud computing and Big data. His Workflow study combines topics from a wide range of disciplines, such as Domain, Computational steering, Dataflow and Artificial intelligence. His work in the fields of Distributed database overlaps with other areas such as Execution time.

The various areas that he examines in his Cloud computing study include Exploit, Scheduling and Cache. His Big data study combines topics in areas such as Scalability, Parallel processing and Data science. His Parallel processing research is multidisciplinary, incorporating elements of Joins and Data structure.

Between 2013 and 2021, his most popular works were:

  • A Survey of Data-Intensive Scientific Workflow Management (131 citations)
  • CloudMdsQL: querying heterogeneous cloud data stores with a common language (53 citations)
  • OpenAlea: scientific workflows combining data analysis and simulation (34 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Database
  • Programming language

Patrick Valduriez mostly deals with Workflow, Database, Distributed computing, Cloud computing and Big data. The study incorporates disciplines such as Computational steering, Data mining and Dataflow in addition to Workflow. His work on Distributed database as part of general Distributed computing study is frequently linked to Execution time, therefore connecting diverse disciplines of science.

Patrick Valduriez has included themes like Replication, Distributed design patterns, Parallel database, Database tuning and Distributed concurrency control in his Distributed database study. His Cloud computing research incorporates elements of Scheduling, Task and Cache. His Big data research includes elements of Algorithm and Scalability.

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.

Top Publications

Principles of Distributed Database Systems

M. Tamer zsu;Patrick Valduriez.
(1990)

4760 Citations

Join indices

Patrick Valduriez.
ACM Transactions on Database Systems (1987)

739 Citations

Distributed and parallel database systems

M. Tamer Özsu;Patrick Valduriez.
ACM Computing Surveys (1996)

640 Citations

Prototyping Bubba, a highly parallel database system

H. Boral;W. Alexander;L. Clay;G. Copeland.
IEEE Transactions on Knowledge and Data Engineering (1990)

494 Citations

Principles of Distributed Database Systems, third edition

M. Tamer Özsu;Patrick Valduriez.
Principles of Distributed Database Systems (2011)

464 Citations

Principles of distributed database systems (2nd ed.)

M. Tamer Özsu;Patrick Valduriez.
(1999)

420 Citations

ATL: a QVT-like transformation language

Frédéric Jouault;Freddy Allilaire;Jean Bézivin;Ivan Kurtev.
conference on object-oriented programming systems, languages, and applications (2006)

377 Citations

StreamCloud: An Elastic and Scalable Data Streaming System

V. Gulisano;R. Jiménez-Peris;M. Patiño-Martínez;C. Soriente.
IEEE Transactions on Parallel and Distributed Systems (2012)

377 Citations

Join and Semijoin Algorithms for a Multiprocessor Database Machine

Patrick Valduriez;Georges Gardarin.
ACM Transactions on Database Systems (1984)

349 Citations

Scaling access to heterogeneous data sources with DISCO

A. Tomasic;L. Raschid;P. Valduriez.
IEEE Transactions on Knowledge and Data Engineering (1998)

347 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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