The edit distance to k-subsequence universality

Authors

Florín Manea (ORCID: https://orcid.org/0000-0001-6094-3324)
Stefan Siemer (ORCID: https://orcid.org/0000-0001-7509-8135)
Pamela Fleischmann (ORCID: https://orcid.org/0000-0002-1531-7970)
Joel D. Day (ORCID: https://orcid.org/0000-0002-3660-7766)
Maria Kosche (ORCID: https://orcid.org/0000-0002-2165-2695)
Tore Koß (ORCID: https://orcid.org/0000-0001-6002-1581)

Publication Details

Journal: Journal of Computer and System Sciences
Published: 2025-06-16
DOI: https://doi.org/10.1016/j.jcss.2025.103681
Primary Topic: Algorithms and Data Compression
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Deutsche Forschungsgemeinschaft

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article

The edit distance to k-subsequence universality

Florín Manea, Stefan Siemer, Pamela Fleischmann, Joel D. Day et al.

Jun 16, 2025

Journal of Computer and System Sciences

Algorithms and Data Compression

article

The edit distance to k-subsequence universality

Florín Manea, Stefan Siemer, Pamela Fleischmann, Joel D. Day, Maria Kosche, Tore Koß

June 16, 2025article en

Abstract

No abstract available for this paper.

Journal of Computer and System SciencesVol. 154

Deutsche Forschungsgemeinschaft

Reduced inequalities

Openalex Percentile: Top 93%

Algorithms and Data Compression

DOI Open Access PDF OpenAlex

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The edit distance to k-subsequence universality — Florín Manea, Stefan Siemer, et al. · Journal of Computer and System Sciences (2025) | TGRS Research Map | TGRS