World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
4437
World Ranking
10925
National Ranking
4541

Overview

Jonathan Goldstein is currently affiliated with Microsoft in the United States. Their research work primarily spans the field of Computer Science, with a focus on various subfields including Human-Computer Interaction, Artificial Intelligence, Information Systems and Management, Computer Networks and Communications, and Information Systems.

Their main research topics cover Personal Information Management and User Behavior, Interactive and Immersive Displays, Usability and User Interface Design, Distributed Systems and Fault Tolerance, Cloud Computing and Resource Management, Parallel Computing and Optimization Techniques, and Generative Adversarial Networks and Image Synthesis.

Jonathan Goldstein has published in several notable venues. These include:

  • CHI Conference on Human Factors in Computing Systems
  • Proceedings of the VLDB Endowment
  • IEEE Potentials

The scientist's recent papers are as follows:

  • "Understanding Multi-Device Usage Patterns: Physical Device Configurations and Fragmented Workflows" (2022) presented at CHI Conference on Human Factors in Computing Systems
  • "A.M.B.R.O.S.I.A" (2020) published in Proceedings of the VLDB Endowment
  • "Applied Machine Learning Strategies" (2020) published in IEEE Potentials

Jonathan Goldstein frequently collaborates with other researchers. Their coauthors include Ye Yuan, Nathalie Henry Riche, Nicolai Marquardt, Molly Jane Nicholas, and Teddy Seyed. Each has contributed to multiple collaborative works with the scientist.

Best Publications

  • Optimizing queries using materialized views: a practical, scalable solution

    Jonathan Goldstein;Per-Åke Larson

  • Consistent Streaming Through Time: A Vision for Event Stream Processing

    Roger S. Barga;Jonathan Goldstein;Mohamed H. Ali;Mingsheng Hong

  • Compressing relations and indexes

    J. Goldstein;R. Ramakrishnan;U. Shaft

  • Trill: a high-performance incremental query processor for diverse analytics

    Badrish Chandramouli;Jonathan Goldstein;Mike Barnett;Robert DeLine

  • MTCache: transparent mid-tier database caching in SQL server

    P.-A. Larson;J. Goldstein;J. Zhou

  • Temporal Analytics on Big Data for Web Advertising

    Badrish Chandramouli;Jonathan Goldstein;Songyun Duan

  • Microsoft CEP server and online behavioral targeting

    M. H. Ali;C. Gerea;B. S. Raman;B. Sezgin

  • Relaxed currency and consistency: how to say "good enough" in SQL

    Hongfei Guo;Per-Åke Larson;Raghu Ramakrishnan;Jonathan Goldstein

  • System and method for optimizing queries using materialized views and fast view matching

    Per-Ake Larson;Jonathan Goldstein

  • High-performance dynamic pattern matching over disordered streams

    Badrish Chandramouli;Jonathan Goldstein;David Maier

  • Temporal event stream model

    Roger S. Barga;Jonathan D. Goldstein;Mohamed Ali;Mingsheng Hong

  • Real-time-ready behavioral targeting in a large-scale advertisement system

    Badrish Chandramouli;Jonathan Goldstein;Xin Jin;Balan Sethu Raman

  • Asynchronous transfer of state information between continuous query plans

    Badrish Chandramouli;Jonathan David Goldstein;Peter Alfred Zabback;David Eugene Maier

  • Implementation of stream algebra over class instances

    Gueorgui B. Chkodrov;Paul F. Ringseth;Tihomir T. Tarnavski;Andy Shen

  • Mison: a fast JSON parser for data analytics

    Yinan Li;Nikos R. Katsipoulakis;Badrish Chandramouli;Jonathan Goldstein

  • Partially materialized views

    Per-Ake Larson;Jingren Zhou;Jonathan Goldstein

  • Consistency sensitive streaming operators

    Roger S Barga;Jonathan D Goldstein;Mohamed Ali;Mingsheng Hong

  • Contrast Plots and P-Sphere Trees: Space vs. Time in Nearest Neighbour Searches

    Jonathan Goldstein;Raghu Ramakrishnan

  • Translation of streaming queries into sql queries

    Jonathan David Goldstein;Mingsheng Hong

  • Dynamic Materialized Views

    Jingren Zhou;P. A. Larson;J. Goldstein;Luping Ding

  • Transparent mid-tier database caching in SQL server

    Per-Åke Larson;Jonathan Goldstein;Jingren Zhou

Frequent Co-Authors

John Platt
John Platt Google (United States)
Per-Ake Larson
Per-Ake Larson Microsoft (United States)
David Maier
David Maier Portland State University
Roger Barga
Roger Barga Microsoft (United States)
Robert DeLine
Robert DeLine Microsoft (United States)
Jingren Zhou
Jingren Zhou Alibaba Group (China)
Danyel Fisher
Danyel Fisher Microsoft (United States)
Christopher J. C. Burges
Christopher J. C. Burges Microsoft (United States)
Raghu Ramakrishnan
Raghu Ramakrishnan Microsoft (United States)
Steven M. Drucker
Steven M. Drucker Microsoft (United States)

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