D-Index & Metrics Best Publications

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 D-index 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. Citations Publications World Ranking National Ranking
Computer Science D-index 46 Citations 22,845 79 World Ranking 4292 National Ranking 2158

Research.com Recognitions

Awards & Achievements

2020 - ACM Fellow For contributions to distributed databases, column-store databases, deterministic databases, graph databases, and stream databases

2011 - Fellow of Alfred P. Sloan Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Database
  • Operating system
  • Programming language

Daniel J. Abadi spends much of his time researching Database, Distributed computing, Scalability, Set and Data management. His study ties his expertise on World Wide Web together with the subject of Database. His Distributed computing research integrates issues from Emphasis and Unstructured data.

His Scalability study integrates concerns from other disciplines, such as Paxos, Distributed transaction, Distributed database and Massively parallel. His work deals with themes such as Quality of service, Wireless sensor network, View and Data stream management system, which intersect with Set. Daniel J. Abadi interconnects RDF, Semantic Web, Linked data, RDF Schema and SPARQL in the investigation of issues within Data management.

His most cited work include:

  • Aurora: a new model and architecture for data stream management (1440 citations)
  • The Design of the Borealis Stream Processing Engine (1264 citations)
  • A comparison of approaches to large-scale data analysis (1008 citations)

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

His primary areas of study are Database, Distributed computing, Scalability, Online transaction processing and Database transaction. Column, View, Data management, Transaction processing system and Data warehouse are the subjects of his Database studies. His Data warehouse research incorporates elements of Stream processing and Relational database management system.

Many of his research projects under Distributed computing are closely connected to Throughput with Throughput, tying the diverse disciplines of science together. His Scalability study integrates concerns from other disciplines, such as Parallel database, Wireless sensor network, Fault tolerance and Big data. As part of the same scientific family, Daniel J. Abadi usually focuses on Online transaction processing, concentrating on Distributed transaction and intersecting with Replication, Consistency and Rollback.

He most often published in these fields:

  • Database (52.38%)
  • Distributed computing (25.00%)
  • Scalability (21.43%)

What were the highlights of his more recent work (between 2015-2020)?

  • Database (52.38%)
  • Online transaction processing (17.86%)
  • Transaction processing (11.90%)

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

His primary scientific interests are in Database, Online transaction processing, Transaction processing, Database transaction and Distributed computing. His study in Database focuses on Relational database management system in particular. His Online transaction processing research incorporates elements of Data warehouse and Stream processing.

His Transaction processing system study in the realm of Transaction processing interacts with subjects such as Data architecture. Daniel J. Abadi usually deals with Database transaction and limits it to topics linked to Thread and Scalability. His Distributed computing study frequently draws connections between related disciplines such as Isolation.

Between 2015 and 2020, his most popular works were:

  • The Beckman report on database research (62 citations)
  • Leopard: lightweight edge-oriented partitioning and replication for dynamic graphs (49 citations)
  • High performance transactions via early write visibility (39 citations)

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

  • Database
  • Operating system
  • Programming language

Daniel J. Abadi focuses on Relational database management system, Database research, World Wide Web, Big data and Set partitioning in hierarchical trees. His Relational database management system research includes elements of Online transaction processing, Data warehouse, Stream processing and Code. Set partitioning in hierarchical trees is connected with Vertex, Parallel computing, Graph partition, Theoretical computer science and Space partitioning in his study.

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

Aurora: a new model and architecture for data stream management

Daniel J. Abadi;Don Carney;Ugur Çetintemel;Mitch Cherniack.
very large data bases (2003)

2190 Citations

The Design of the Borealis Stream Processing Engine

Daniel J. Abadi;Yanif Ahmad;Magdalena Balazinska;Mitch Cherniack.
conference on innovative data systems research (2005)

2027 Citations

A comparison of approaches to large-scale data analysis

Andrew Pavlo;Erik Paulson;Alexander Rasin;Daniel J. Abadi.
international conference on management of data (2009)

1582 Citations

Aurora: a data stream management system

D. Abadi;D. Carney;U. Çetintemel;M. Cherniack.
international conference on management of data (2003)

1389 Citations

C-store: a column-oriented DBMS

Mike Stonebraker;Daniel J. Abadi;Adam Batkin;Xuedong Chen.
very large data bases (2005)

1352 Citations

HadoopDB: an architectural hybrid of MapReduce and DBMS technologies for analytical workloads

Azza Abouzeid;Kamil Bajda-Pawlikowski;Daniel Abadi;Avi Silberschatz.
very large data bases (2009)

1312 Citations

Scalable semantic web data management using vertical partitioning

Daniel J. Abadi;Adam Marcus;Samuel R. Madden;Kate Hollenbach.
very large data bases (2007)

981 Citations

Data Management in the Cloud: Limitations and Opportunities.

Daniel J. Abadi.
IEEE Data(base) Engineering Bulletin (2009)

823 Citations

Integrating compression and execution in column-oriented database systems

Daniel Abadi;Samuel Madden;Miguel Ferreira.
international conference on management of data (2006)

823 Citations

Column-stores vs. row-stores: how different are they really?

Daniel J. Abadi;Samuel R. Madden;Nabil Hachem.
international conference on management of data (2008)

804 Citations

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