World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
6824
World Ranking
9335
National Ranking
2616

Research.com Recognitions

  • 1974 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Seymour Ginsburg was affiliated with the University of Southern California in the United States. Their research work spanned areas within decision sciences, with a focus on management science and operations research as subfields of study.

Throughout their academic career, Ginsburg contributed to the study of data quality and management, which is reflected in multiple works categorized under this topic.

Their recent publication record includes a paper titled Automatic Data Restructuring, published in 2020 at the TUGraz OPEN Library (Graz University of Technology). This venue is noted as a frequent place of publication for their research outputs.

  • Automatic Data Restructuring, 2020, TUGraz OPEN Library (Graz University of Technology)

Their collaboration network includes work with Dan A. Simovici as a frequent coauthor.

  • Dan A. Simovici

Seymour Ginsburg's primary research fields and topics can be summarized as:

  • Decision Sciences
  • Management Science and Operations Research
  • Data Quality and Management

Among their professional recognitions, Ginsburg was named a Fellow of the John Simon Guggenheim Memorial Foundation in 1974.

Best Publications

  • Algebraic and Automata Theoretic Properties of Formal Languages

    Seymour Ginsburg

  • BOUNDED ALGOL-LIKE LANGUAGES^)

    Seymour Ginsburg;Edwin H. Spanier

  • Deterministic context free languages

    Seymour Ginsburg;Sheila A. Greibach

  • One-way stack automata

    Seymour Ginsburg;Sheila A. Greibach;Michael A. Harrison

  • Abstract families of languages

    Seymour Ginsburg;Sheila Greibach

  • Finite-Turn Pushdown Automata

    Seymour Ginsburg;Edwin H. Spanier

  • Stack automata and compiling

    Seymour Ginsburg;Sheila A. Greibach;Michael A. Harrison

  • Introduction to Mathematical Machine Theory

    Seymour Ginsburg

  • Ambiguity in context free languages

    Seymour Ginsburg;Joseph Ullian

  • Control sets on grammars

    Seymour Ginsburg;Seymour Ginsburg;Edwin H. Spanier;Edwin H. Spanier

  • Principal AFL

    Seymour Ginsburg;Sheila Greibach

  • Context-free grammar forms

    Armin Cremers;Seymour Ginsburg

  • Bracketed context-free languages

    Seymour Ginsburg;Michael A. Harrison

  • Some operators on uniform spaces

    Seymour Ginsburg;J. R. Isbell

  • Derivation-bounded languages

    Seymour Ginsburg;Edwin H. Spanier

  • Order dependency in the relational model

    Seymour Ginsburg;Richard Hull

  • Studies in abstract families of languages

    Seymour Ginsburg;Sheila Greibach;John E. Hopcroft

  • AFL with the semilinear property

    Seymour Ginsburg;Edwin H. Spanier

  • TOL Schemes and Control Sets

    Seymour Ginsburg;Grzegorz Rozenberg

  • Mappings which preserve context sensitive languages

    Seymour Ginsburg;Sheila A. Greibach

  • Mappings of languages by two-tape devices

    Seymour Ginsburg;Edwin H. Spanier

  • On the Length of the Smallest Uniform Experiment which Distinguishes the Terminal States of a Machine

    Seymour Ginsburg

  • A mathematical model of transformational grammars

    Seymour Ginsburg;Barbara Partee

  • Pattern matching by Rs-operations: towards a unified approach to querying sequenced data

    Seymour Ginsburg;Xiaoyang Wang

Frequent Co-Authors

Richard Hull
Richard Hull Spring Hills Foundation
Armin B. Cremers
Armin B. Cremers University of Bonn
Katsumi Tanaka
Katsumi Tanaka Kyoto University
John E. Hopcroft
John E. Hopcroft Cornell University
Guozhu Dong
Guozhu Dong Wright State University
Serge Abiteboul
Serge Abiteboul École Normale Supérieure
Grzegorz Rozenberg
Grzegorz Rozenberg Leiden University
Barbara H. Partee
Barbara H. Partee University of Massachusetts Amherst

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Seymour Ginsburg