World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
12567
World Ranking
2803
National Ranking
1383

Research.com Recognitions

  • 2005 - Fellow of the American Academy of Arts and Sciences
  • 2004 - Member of the National Academy of Engineering For contributions to the design and analysis of algorithms and for leadership in computer science and engineering.
  • 1995 - ACM Fellow For fundamental contributions to the design and analysis of algorithms and outstanding service to the theoretical computer science community.

Overview

Zvi Galil is affiliated with the Georgia Institute of Technology in the United States. Their research spans multiple areas within computer science, with a focus on intelligent tutoring systems, innovative teaching methods, and graph theory and algorithms. Their work also addresses topics related to online learning analytics and higher education research studies.

Their recent publications include:

  • OMSCS, 2020, Communications of the ACM
  • Creating a revolutionary academic program, 2022, Communications of the ACM
  • Efficient Graph Isomorphism Query Processing using Degree Sequences and Color-Label Distributions, 2022, 2022 IEEE 38th International Conference on Data Engineering (ICDE)

Frequent co-authors in their work include:

  • Umakishore Ramachandran
  • Geonmo Gu
  • Yehyun Nam
  • Kunsoo Park
  • Giuseppe F. Italiano

They have published mainly in the following venues:

  • Communications of the ACM
  • 2022 IEEE 38th International Conference on Data Engineering (ICDE)

Their primary field of study is Computer Science, with subfields including artificial intelligence, developmental and educational psychology, computer science applications, education, and computer vision and pattern recognition.

Key topics covered in their research are:

  • Intelligent Tutoring Systems and Adaptive Learning
  • Innovative Teaching and Learning Methods
  • Online Learning and Analytics
  • Higher Education Research Studies
  • Graph Theory and Algorithms
  • Data Management and Algorithms
  • Advanced Graph Neural Networks

Zvi Galil has been recognized with several awards, including:

  • Fellow of the American Academy of Arts and Sciences, 2005
  • Member of the National Academy of Engineering, 2004, for contributions to the design and analysis of algorithms and for leadership in computer science and engineering
  • ACM Fellow, 1995, for fundamental contributions to the design and analysis of algorithms and outstanding service to the theoretical computer science community

Best Publications

  • Efficient algorithms for finding minimum spanning trees in undirected and directed graphs

    H N Gabow;Z Galil;Z Galil;T Spencer;R E Tarjan

  • Efficient algorithms for finding maximum matching in graphs

    Zvi Galil

  • Explicit constructions of linear-sized superconcentrators

    Ofer Gabber;Zvi Galil

  • Sparsification—a technique for speeding up dynamic graph algorithms

    David Eppstein;Zvi Galil;Giuseppe F. Italiano;Amnon Nissenzweig

  • Data structures and algorithms for disjoint set union problems

    Zvi Galil;Giuseppe F. Italiano

  • Time-space-optimal string matching

    Zvi Galil;Zvi Galil;Joel I. Seiferas

  • NP completeness of finding the chromatic index of regular graphs

    Daniel Leven;Zvi Galil

  • Dynamic graph algorithms

    Camil Demetrescu;David Eppstein;Zvi Galil;Giuseppe F. Italiano

  • An improved algorithm for approximate string matching

    Zvi Galil;Kunsoo Park

  • Dynamic Graph Algorithms

    Unknown

  • On the exponent of the all pairs shortest path problem

    Noga Alon;Zvi Galil;Oded Margalit

  • Sparse dynamic programming I: linear cost functions

    David Eppstein;Zvi Galil;Raffaele Giancarlo;Giuseppe F. Italiano

  • Combinatorial Algorithms on Words

    Alberto Apostolico;Zvi Galil

  • Data structures and algorithms for approximate string matching

    Z. Galil;R. Giancarlo

  • An O (EV log V) algorithm for finding a maximal weighted matching in general graphs

    Zvi Galil;Silvio Micali;Harold Gabow

  • Improved string matching with k mismatches

    Z Galil;R Giancarlo

  • Sparsification-a technique for speeding up dynamic graph algorithms

    D. Eppstein

  • Highly parallelizable problems

    O. Berkman;Dany Breslauer;Zvi Galil;Baruch Schieber

  • Speeding up dynamic programming with application to molecular biology

    Zvi Galil;Raffaele Giancarlo

  • On improving the worst case running time of the Boyer-Moore string matching algorithm

    Zvi Galil

  • Optimal parallel algorithms for string matching

    Zvi Galil

  • Lower bounds on communication complexity

    Pavol Duris;Zvi Galil;Georg Schnitger

Frequent Co-Authors

Moti Yung
Moti Yung Columbia University
Giuseppe F. Italiano
Giuseppe F. Italiano Guido Carli Free International University for Social Studies
David Eppstein
David Eppstein University of California, Irvine
Raffaele Giancarlo
Raffaele Giancarlo University of Palermo
Harold N. Gabow
Harold N. Gabow University of Colorado Boulder
Victor Y. Pan
Victor Y. Pan City University of New York
Arnold L. Rosenberg
Arnold L. Rosenberg University of Massachusetts Amherst
Noga Alon
Noga Alon Tel Aviv University
Danny Dolev
Danny Dolev Hebrew University of Jerusalem
Wojciech Rytter
Wojciech Rytter University of Warsaw

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:

Related Online Degrees & Career Pathways

Expanding your expertise in Computer Science can open doors to a range of related online degrees and career pathways. Many students consider interdisciplinary studies, such as environmental science or engineering, to broaden their job prospects and knowledge base.

If you are looking for flexible and affordable options, there are several fully accredited programs available. For those interested in environmental science, consider researching the cheapest online environmental science degree programs, which can provide a strong foundation in sustainability and technology.

Students seeking a more technical and hands-on field may explore an online degree for mechanical engineering, or build a solid understanding of physical systems through online physics degrees. These areas often complement computer science skills, especially in engineering and research roles.

Additionally, the demand for data scientists continues to grow across industries. Choosing from reputable data science programs online can help develop your analytical and programming skills for high-demand tech careers.

Best Scientists Citing Zvi Galil

Trending Scientists