Compression of Samplable Sources

Article Properties
Cite
Trevisan, Luca, et al. “Compression of Samplable Sources”. Computational Complexity, vol. 14, no. 3, 2005, pp. 186-27, https://doi.org/10.1007/s00037-005-0198-6.
Trevisan, L., Vadhan, S., & Zuckerman, D. (2005). Compression of Samplable Sources. Computational Complexity, 14(3), 186-227. https://doi.org/10.1007/s00037-005-0198-6
Trevisan L, Vadhan S, Zuckerman D. Compression of Samplable Sources. computational complexity. 2005;14(3):186-227.
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Mathematics
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Engineering (General)
Civil engineering (General)
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Citations
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Error Correction by Structural Simplicity: Correcting Samplable Additive Errors

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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2018
The complexity of estimating min-entropy computational complexity
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
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  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
 2 2014
On Optimal Language Compression for Sets in PSPACE/poly Theory of Computing Systems
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2014
On the Compressibility of $\mathcal{NP}$ Instances and Cryptographic Applications SIAM Journal on Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 21 2010
Comparing Notions of Computational Entropy Theory of Computing Systems
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 3 2009
Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science5
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware4
Science: Mathematics3
Technology: Engineering (General). Civil engineering (General)1
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods1
Science: Science (General): Cybernetics: Information theory1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 5 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Comparing Notions of Computational Entropy and was published in 2009. The most recent citation comes from a 2018 study titled Error Correction by Structural Simplicity: Correcting Samplable Additive Errors. This article reached its peak citation in 2014, with 2 citations. It has been cited in 4 different journals. Among related journals, the Theory of Computing Systems cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year