D-Index & Metrics Best Publications

Nicolas Bruno

Microsoft (United States)
United States

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 31 Citations 6,443 72 World Ranking 9586 National Ranking 4361

Overview

What is he best known for?

The fields of study he is best known for:

Database
Programming language
Algorithm

His main research concerns Data mining, Query optimization, Database, Information retrieval and Web query classification. He performs multidisciplinary study in the fields of Data mining and Workload via his papers. Nicolas Bruno has included themes like Distributed computing and Scripting language in his Query optimization study.

His Scalability study, which is part of a larger body of work in Database, is frequently linked to Schedule, bridging the gap between disciplines. His Information retrieval research focuses on Range query, Sargable, Query expansion and Query language. The concepts of his Query plan study are interwoven with issues in Theoretical computer science and RDF query language.

His most cited work include:

Holistic twig joins: optimal XML pattern matching (905 citations)
Evaluating top-k queries over web-accessible databases (330 citations)
STHoles: a multidimensional workload-aware histogram (304 citations)

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

His primary areas of investigation include Query optimization, Data mining, Distributed computing, Sargable and Database. His Query optimization research is multidisciplinary, incorporating elements of Cardinality, Statistics, Theoretical computer science and Relational database. His work on Database tuning as part of general Data mining research is often related to Physical design, Workload, Merge and Histogram, thus linking different fields of science.

He focuses mostly in the field of Distributed computing, narrowing it down to matters related to Scripting language and, in some cases, Distributed data store. The various areas that Nicolas Bruno examines in his Sargable study include Query language, Query expansion, Conjunctive query and Query by Example. His work carried out in the field of Database brings together such families of science as Debugging and Task.

He most often published in these fields:

Query optimization (40.00%)
Data mining (38.67%)
Distributed computing (22.67%)

What were the highlights of his more recent work (between 2011-2018)?

Distributed computing (22.67%)
Query optimization (40.00%)
Scripting language (12.00%)

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

Nicolas Bruno focuses on Distributed computing, Query optimization, Scripting language, Computation and Data mining. His research in Distributed computing intersects with topics in Execution plan and Task. His Query optimization research integrates issues from Rope and Distributed data store.

His work deals with themes such as Explicit parallelism and Scalability, which intersect with Scripting language. His Computation research incorporates elements of Hash function, Partition and Parallel computing. His work in the fields of Data mining, such as Database tuning, overlaps with other areas such as Declarative programming.

Between 2011 and 2018, his most popular works were:

Re-optimizing data-parallel computing (160 citations)
SCOPE: parallel databases meet MapReduce (124 citations)
Parallel data computing optimization (67 citations)

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

Programming language
Database
Algorithm

The scientist’s investigation covers issues in Distributed computing, Query optimization, Task, Execution plan and Piggybacking. His work in Distributed computing is not limited to one particular discipline; it also encompasses Explicit parallelism. His Explicit parallelism research is multidisciplinary, incorporating perspectives in Fault tolerance, Scalability, Database and Graph.

His Scalability study integrates concerns from other disciplines, such as Directed acyclic graph and Scripting language. His Piggybacking research spans across into fields like A priori and a posteriori, Response time and Rope.

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

Holistic twig joins: optimal XML pattern matching

Nicolas Bruno;Nick Koudas;Divesh Srivastava.
international conference on management of data (2002)

1468 Citations

STHoles: a multidimensional workload-aware histogram

Nicolas Bruno;Surajit Chaudhuri;Luis Gravano.
international conference on management of data (2001)

426 Citations

Evaluating top-k queries over Web-accessible databases

N. Bruno;L. Gravano;A. Marian.
international conference on data engineering (2002)

414 Citations

Top-k selection queries over relational databases: Mapping strategies and performance evaluation

Nicolas Bruno;Surajit Chaudhuri;Luis Gravano.
ACM Transactions on Database Systems (2002)

394 Citations

Evaluating top-k queries over web-accessible databases

Amélie Marian;Nicolas Bruno;Luis Gravano.
ACM Transactions on Database Systems (2004)

353 Citations

Method and apparatus for exploiting statistics on query expressions for optimization

Surajit Chaudhuri;Nicolas Bruno.
(2002)

280 Citations

Re-optimizing data-parallel computing

Sameer Agarwal;Srikanth Kandula;Nicolas Bruno;Ming-Chuan Wu.
networked systems design and implementation (2012)

244 Citations

An Online Approach to Physical Design Tuning

N. Bruno;S. Chaudhuri.
international conference on data engineering (2007)

211 Citations

Exploiting statistics on query expressions for optimization

Nicolas Bruno;Surajit Chaudhuri.
international conference on management of data (2002)

184 Citations

SCOPE: parallel databases meet MapReduce

Jingren Zhou;Nicolas Bruno;Ming-Chuan Wu;Per-Ake Larson.
very large data bases (2012)

183 Citations

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Frequent Co-Authors

External Links

Personal Website for Nicolas Bruno