World's Best Scientists 2026 revealed!

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Computer Science

D-Index
105
Citations
54324
World Ranking
283
National Ranking
154

Research.com Recognitions

  • 2010 - IEEE Fellow For contributions to control engineering for performance management of computing systems
  • 2009 - ACM Fellow For contributions to database systems and data management.
  • 1998 - Fellow of Alfred P. Sloan Foundation

Overview

Joseph M. Hellerstein is affiliated with the University of California, Berkeley in the United States. Their research primarily spans computer science with a focus on subfields such as computer networks and communications, information systems, hardware and architecture, artificial intelligence, and information systems and management.

The main topics of their work include distributed systems and fault tolerance, cloud computing and resource management, advanced data storage technologies, parallel computing and optimization techniques, advanced database systems and queries, scientific computing and data management, and software system performance and reliability.

Publications by Joseph M. Hellerstein have appeared frequently in several venues, including:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • Proceedings of the ACM on Management of Data
  • ACM SIGMOD Record
  • Communications of the ACM

Recent papers include:

  • "Cloudburst," 2020, Proceedings of the VLDB Endowment
  • "The Seattle Report on Database Research," 2020, ACM SIGMOD Record
  • "The Seattle report on database research," 2022, Communications of the ACM
  • "Keeping CALM," 2020, Communications of the ACM
  • "Scaling replicated state machines with compartmentalization," 2021, Proceedings of the VLDB Endowment

Frequent co-authors collaborating with Hellerstein are:

  • Alvin Cheung
  • Shadaj Laddad
  • Michael Whittaker
  • Ion Stoica
  • Natacha Crooks

Joseph M. Hellerstein has received several awards, including:

  • IEEE Fellow (2010) for contributions to control engineering for performance management of computing systems
  • ACM Fellow (2009) for contributions to database systems and data management
  • Fellow of Alfred P. Sloan Foundation (1998)

Best Publications

  • TAG: a Tiny AGgregation service for Ad-Hoc sensor networks

    Samuel Madden;Michael J. Franklin;Joseph M. Hellerstein;Wei Hong

  • TinyDB: an acquisitional query processing system for sensor networks

    Samuel R. Madden;Michael J. Franklin;Joseph M. Hellerstein;Wei Hong

  • TelegraphCQ: continuous dataflow processing

    Sirish Chandrasekaran;Owen Cooper;Amol Deshpande;Michael J. Franklin

  • TelegraphCQ: Continuous Dataflow Processing for an Uncertain World.

    Sirish Chandrasekaran;Owen Cooper;Amol Deshpande;Michael J. Franklin

  • Distributed GraphLab: a framework for machine learning and data mining in the cloud

    Yucheng Low;Danny Bickson;Joseph Gonzalez;Carlos Guestrin

  • Model-driven data acquisition in sensor networks

    Amol Deshpande;Carlos Guestrin;Samuel R. Madden;Joseph M. Hellerstein

  • The design of an acquisitional query processor for sensor networks

    Samuel Madden;Michael J. Franklin;Joseph M. Hellerstein;Wei Hong

  • Online aggregation

    Joseph M. Hellerstein;Peter J. Haas;Helen J. Wang

  • Eddies: continuously adaptive query processing

    Ron Avnur;Joseph M. Hellerstein

  • Blobworld: A System for Region-Based Image Indexing and Retrieval

    Chad Carson;Megan Thomas;Serge Belongie;Joseph M. Hellerstein

  • MapReduce online

    Tyson Condie;Neil Conway;Peter Alvaro;Joseph M. Hellerstein

  • Continuously adaptive continuous queries over streams

    Samuel Madden;Mehul Shah;Joseph M. Hellerstein;Vijayshankar Raman

  • Wrangler: interactive visual specification of data transformation scripts

    Sean Kandel;Andreas Paepcke;Joseph Hellerstein;Jeffrey Heer

  • Potter's Wheel: An Interactive Data Cleaning System

    Vijayshankar Raman;Joseph M. Hellerstein

  • Querying the internet with PIER

    Ryan Huebsch;Joseph M. Hellerstein;Nick Lanham;Boon Thau Loo

  • MAD skills: new analysis practices for big data

    Jeffrey Cohen;Brian Dolan;Mark Dunlap;Joseph M. Hellerstein

  • Generalized Search Trees for Database Systems

    Joseph M. Hellerstein;Jeffrey F. Naughton;Avi Pfeffer

  • Approximate Data Collection in Sensor Networks using Probabilistic Models

    D. Chu;A. Deshpande;J.M. Hellerstein;Wei Hong

  • GraphLab: a new framework for parallel machine learning

    Yucheng Low;Joseph Gonzalez;Aapo Kyrola;Danny Bickson

  • Ripple joins for online aggregation

    Peter J. Haas;Joseph M. Hellerstein

  • The Morgan Kaufmann Series in Data Management Systems

    Jim Gray;Mamdouh Refaat;Jim Melton;Stephen Buxton

Frequent Co-Authors

Ion Stoica
Ion Stoica University of California, Berkeley
Michael J. Franklin
Michael J. Franklin University of Chicago
Peter Bailis
Peter Bailis Stanford University
Boon Thau Loo
Boon Thau Loo University of Pennsylvania
Minos Garofalakis
Minos Garofalakis Technical University of Crete
Joseph E. Gonzalez
Joseph E. Gonzalez University of California, Berkeley
Amol Deshpande
Amol Deshpande University of Maryland, College Park
Petros Maniatis
Petros Maniatis Google (United States)

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