Reconstructing a string from its Lyndon arrays
Work
Year: 2017
Type: article
Source: Theoretical Computer Science
Institutions King's College London, Aberystwyth University, McMaster University, Czech Technical University in Prague
Cites: 25
Cited by: 11
Related to: 10
FWCI: 0.945
Citation percentile (by year/subfield): 74
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Funders Natural Sciences and Engineering Research Council of Canada, Natural Sciences and Engineering Research Council of Canada
Grant IDS 14284, RGPIN25112-2012