World's Best Scientists 2026 revealed!
Michael J. Franklin

Michael J. Franklin

Award Badge
Computer Science
USA
2023

D-Index & Metrics

Computer Science

D-Index
106
Citations
71220
World Ranking
269
National Ranking
148

Research.com Recognitions

  • 2023 - Research.com Computer Science in United States Leader Award
  • 2005 - ACM Fellow For contributions to distributed information management.

Overview

Michael J. Franklin is affiliated with the University of Chicago in the United States. Their research spans multiple fields with a significant focus on computer science and environmental science.

The primary fields of study covered by Michael J. Franklin's work include:

  • Computer Science
  • Environmental Science

Within these fields, their subfields of study further specify areas such as:

  • Artificial Intelligence
  • Signal Processing
  • Ecology
  • Global and Planetary Change
  • Management Science and Operations Research

The main topics addressed in their research are:

  • Time Series Analysis and Forecasting
  • Rangeland and Wildlife Management
  • Anomaly Detection Techniques and Applications
  • Privacy-Preserving Technologies in Data
  • Ecology and Vegetation Dynamics Studies
  • Data Quality and Management
  • Scientific Computing and Data Management

Michael J. Franklin has contributed to several publication venues, most frequently publishing in:

  • Proceedings of the VLDB Endowment
  • arXiv (Cornell University)
  • Biological Conservation
  • Water
  • ACM SIGMOD Record

Some notable recent papers authored by Michael J. Franklin include:

  • "Data market platforms," 2020, Proceedings of the VLDB Endowment
  • "SAND," 2021, Proceedings of the VLDB Endowment
  • "TSB-UAD," 2022, Proceedings of the VLDB Endowment
  • "Volume under the surface," 2022, Proceedings of the VLDB Endowment
  • "How Large Language Models Will Disrupt Data Management," 2023, Proceedings of the VLDB Endowment

The scientist has collaborated frequently with several co-authors, including:

  • Aaron J. Elmore
  • John Paparrizos
  • Paul Boniol
  • Themis Palpanas
  • Sanjay Krishnan

Michael J. Franklin received the ACM Fellow award in 2005 for contributions to distributed information management.

Best Publications

  • Spark: cluster computing with working sets

    Matei Zaharia;Mosharaf Chowdhury;Michael J. Franklin;Scott Shenker

  • Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing

    Matei Zaharia;Mosharaf Chowdhury;Tathagata Das;Ankur Dave

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

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

  • Apache Spark: a unified engine for big data processing

    Matei Zaharia;Reynold S. Xin;Patrick Wendell;Tathagata Das

  • 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

  • MLlib: machine learning in apache spark

    Xiangrui Meng;Joseph Bradley;Burak Yavuz;Evan Sparks

  • TelegraphCQ: Continuous Dataflow Processing for an Uncertain World.

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

  • Spark SQL: Relational Data Processing in Spark

    Michael Armbrust;Reynold S. Xin;Cheng Lian;Yin Huai

  • Broadcast disks: data management for asymmetric communication environments

    Swarup Acharya;Rafael Alonso;Michael Franklin;Stanley Zdonik

  • The design of an acquisitional query processor for sensor networks

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

  • GraphX: graph processing in a distributed dataflow framework

    Joseph E. Gonzalez;Reynold S. Xin;Ankur Dave;Daniel Crankshaw

  • From databases to dataspaces: a new abstraction for information management

    Michael Franklin;Alon Halevy;David Maier

  • Efficient Filtering of XML Documents for Selective Dissemination of Information

    Mehmet Altinel;Michael J. Franklin

  • GraphX: a resilient distributed graph system on Spark

    Reynold S. Xin;Joseph E. Gonzalez;Michael J. Franklin;Ion Stoica

  • CrowdDB: answering queries with crowdsourcing

    Michael J. Franklin;Donald Kossmann;Tim Kraska;Sukriti Ramesh

  • Semantic Data Caching and Replacement

    Shaul Dar;Michael J. Franklin;Björn Þór Jónsson;Divesh Srivastava

  • Fjording the stream: an architecture for queries over streaming sensor data

    S. Madden;M.J. Franklin

  • Supporting aggregate queries over ad-hoc wireless sensor networks

    S. Madden;R. Szewczyk;M.J. Franklin;D. Culler

  • Shoring up persistent applications

    Michael J. Carey;David J. DeWitt;Michael J. Franklin;Nancy E. Hall

Frequent Co-Authors

Joseph M. Hellerstein
Joseph M. Hellerstein University of California, Berkeley
Ion Stoica
Ion Stoica University of California, Berkeley
Alon Halevy
Alon Halevy Facebook (United States)
Michael J. Carey
Michael J. Carey University of California, Irvine
Stanley B. Zdonik
Stanley B. Zdonik Brown University
Shivaram Venkataraman
Shivaram Venkataraman University of Wisconsin–Madison
Eugene Wu
Eugene Wu Columbia University
David A. Patterson
David A. Patterson University of California, Berkeley

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