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Algorithms and Data Compression

TopicLeading institutions, researchers & key papers

Algorithms and Data Compression is a topic indexed in ScholarIQ from OpenAlex.

What is known about Algorithms and Data Compression?

ScholarIQrecord summary

This cluster of papers focuses on the development and optimization of algorithms for compressing and indexing text data, with applications to genomic data, string matching, suffix arrays, and entropy-based compression techniques.

How many works does Algorithms and Data Compression have?

ScholarIQindexed works

Algorithms and Data Compression has 43 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

What is the OpenAlex record for Algorithms and Data Compression?

ScholarIQopenalex

The OpenAlex for Algorithms and Data Compression is on the source record.

What are the most-cited papers on Algorithms and Data Compression?

ScholarIQmost cited works
Centaur: the system
Patrick Borras, Dominique Clement, Th. Despeyroux, Janet Incerpi, Gilles Kahn, Bernard Lang, Valérie Pascual
1988339 CitationsOPEN ACCESS
Interprocedural dependence analysis and parallelization
Michael Burke, Ron K. Cytron
1986138 Citations
SODA: Software Defined FPGA based Accelerators for Big Data
Chao Wang, Xi Li, Xuehai Zhou
201529 Citations
High efficiency referential genome compression algorithm
Wei Shi, Jianhua Chen, Mao Luo, Min Chen
Bioinformatics. 201823 Citations
Automatic Processing of Document Annotations
Jen Stevens, AH Gee, Christopher R. Dance
19986 Citations

Where is Algorithms and Data Compression research published, and who funds it?

ScholarIQvenues & funding sources

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Algorithms and Data Compression is open access?

ScholarIQopen access share
18%OPEN ACCESS
Gold
0%
Green
18%
Hybrid
0%
Bronze
0%
Closed
82%

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