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Theoretical Computer Science
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Theoretical Computer Science
Article . 2009
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Repetitions in strings: Algorithms and combinatorics

Repetitions in strings: algorithms and combinatorics
Authors: Maxime Crochemore; Lucian Ilie; Wojciech Rytter;

Repetitions in strings: Algorithms and combinatorics

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Countries
France, France, United Kingdom
Keywords

Consecutive repeats, Cubes, Squares, Runs, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], algorithms, Theoretical Computer Science, Repetitions, factorisation, Factorisation, runs, repetitions, consecutive repeats, cubes, Combinatorics on words, Compression, Tandem repeats, compression, 004, tandem repeats, squares, Algorithms, Computer Science(all)

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    48
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
48
Top 10%
Top 1%
Top 10%
Green
hybrid