World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
73
Citations
29401
World Ranking
1552
National Ranking
808

Overview

David Maier is affiliated with Portland State University in the United States. Their research primarily spans the field of computer science, with a focus on a range of subfields including artificial intelligence, instrumentation, biophysics, computer networks and communications, and signal processing.

Their work covers several main topics such as advanced optical sensing technologies, advanced fluorescence microscopy techniques, semantic web and ontologies, advanced database systems and queries, data management and algorithms, data quality and management, and data mining algorithms and applications.

David Maier has contributed to academic literature across various venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • ACM SIGMOD Record
  • Energies
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the VLDB Endowment

Notable recent papers by David Maier include:

  • Inductive Electrically Excited Synchronous Machine for Electrical Vehicles-Design, Optimization and Measurement, 2023, published in Energies
  • Count-Free Single-Photon 3D Imaging With Race Logic, 2023, published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Support for Schema Evolution in Data Stream Management Systems, 2020, published in TUGraz OPEN Library (Graz University of Technology)
  • Effective Entity Augmentation by Querying External Data Sources, 2023, published in Proceedings of the VLDB Endowment
  • GRETA: Graph-based Real-time Event Trend Aggregation, 2020, published via arXiv (Cornell University)

Their frequent collaborators include Atul Ingle, Olga Poppe, Chuan Lei, Elke A. Rundensteiner, and S. Müller, highlighting a multidisciplinary approach within their research network.

Best Publications

  • Theory of Relational Databases

    David Maier

  • The theory of relational databases

    David Maier

  • The Object-Oriented Database System Manifesto.

    Malcolm P. Atkinson;François Bancilhon;David J. DeWitt;Klaus R. Dittrich

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

    Michael Franklin;Alon Halevy;David Maier

  • On the Desirability of Acyclic Database Schemes

    Catriel Beeri;Ronald Fagin;David Maier;Mihalis Yannakakis

  • Magic Sets and Other Strange Ways to Implement Logic Programs.

    François Bancilhon;David Maier;Yehoshua Sagiv;Jeffrey D. Ullman

  • The Complexity of Some Problems on Subsequences and Supersequences

    David Maier

  • Magic sets and other strange ways to implement logic programs (extended abstract)

    Francois Bancilhon;David Maier;Yehoshua Sagiv;Jeffrey D Ullman

  • Development of an object-oriented DBMS

    David Maier;Jacob Stein;Allen Otis;Alan Purdy

  • The object-oriented database system manifesto

    Malcolm Atkinson;David Dewitt;David Maier;Francois Bancilhon

  • Making smalltalk a database system

    George Copeland;David Maier

  • Readings in object-oriented database systems

    Stanley B. Zdonik;David Maier

  • Testing implications of data dependencies

    Unknown

  • Linear road: a stream data management benchmark

    Arvind Arasu;Mitch Cherniack;Eduardo Galvez;David Maier

  • Principles of dataspace systems

    Alon Halevy;Michael Franklin;David Maier

  • Exploiting punctuation semantics in continuous data streams

    P.A. Tucker;D. Maier;T. Sheard;L. Fegaras

  • The Asilomar report on database research

    Phil Bernstein;Michael Brodie;Stefano Ceri;David DeWitt

  • No pane, no gain: efficient evaluation of sliding-window aggregates over data streams

    Jin Li;David Maier;Kristin Tufte;Vassilis Papadimos

  • Semantics and evaluation techniques for window aggregates in data streams

    Jin Li;David Maier;Kristin Tufte;Vassilis Papadimos

  • On the foundations of the universal relation model

    David Maier;Jeffrey D. Ullman;Moshe Y. Vardi

  • Development of an object-oriented DBMS

    David Maier;Jacob Stein;Allen Ortis;Alan Purdy

Frequent Co-Authors

Jeffrey D. Ullman
Jeffrey D. Ullman Stanford University
Bill Howe
Bill Howe University of Washington
David J. DeWitt
David J. DeWitt University of Wisconsin–Madison
Stanley B. Zdonik
Stanley B. Zdonik Brown University
Jonathan Walpole
Jonathan Walpole Portland State University
Goetz Graefe
Goetz Graefe Google (United States)
Alon Halevy
Alon Halevy Facebook (United States)
Joseph M. Hellerstein
Joseph M. Hellerstein University of California, Berkeley
Jonathan Goldstein
Jonathan Goldstein Microsoft (United States)

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