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Certified Programs and Proofs

Overview of attention for book
Cover of 'Certified Programs and Proofs'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Scalable Formal Machine Models
  3. Altmetric Badge
    Chapter 2 Mechanized Semantics for Compiler Verification
  4. Altmetric Badge
    Chapter 3 Automation in Computer-Aided Cryptography: Proofs, Attacks and Designs
  5. Altmetric Badge
    Chapter 4 Program Certification by Higher-Order Model Checking
  6. Altmetric Badge
    Chapter 5 A Formally-Verified Alias Analysis
  7. Altmetric Badge
    Chapter 6 Mechanized Verification of Computing Dominators for Formalizing Compilers
  8. Altmetric Badge
    Chapter 7 On the Correctness of an Optimising Assembler for the Intel MCS-51 Microprocessor
  9. Altmetric Badge
    Chapter 8 An Executable Semantics for CompCert C
  10. Altmetric Badge
    Chapter 9 Producing Certified Functional Code from Inductive Specifications
  11. Altmetric Badge
    Chapter 10 The New Quickcheck for Isabelle
  12. Altmetric Badge
    Chapter 11 Proving Concurrent Noninterference
  13. Altmetric Badge
    Chapter 12 Certified Programs and Proofs
  14. Altmetric Badge
    Chapter 13 Compositional Verification of a Baby Virtual Memory Manager
  15. Altmetric Badge
    Chapter 14 Shall We Juggle, Coinductively?
  16. Altmetric Badge
    Chapter 15 Proof Pearl: Abella Formalization of λ -Calculus Cube Property
  17. Altmetric Badge
    Chapter 16 A String of Pearls: Proofs of Fermat’s Little Theorem
  18. Altmetric Badge
    Chapter 17 Compact Proof Certificates for Linear Logic
  19. Altmetric Badge
    Chapter 18 Constructive Completeness for Modal Logic with Transitive Closure
  20. Altmetric Badge
    Chapter 19 Rating Disambiguation Errors
  21. Altmetric Badge
    Chapter 20 A Formal Proof of Square Root and Division Elimination in Embedded Programs
  22. Altmetric Badge
    Chapter 21 Coherent and Strongly Discrete Rings in Type Theory
  23. Altmetric Badge
    Chapter 22 Improving Real Analysis in Coq: A User-Friendly Approach to Integrals and Derivatives
Attention for Chapter 14: Shall We Juggle, Coinductively?
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  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Chapter title
Shall We Juggle, Coinductively?
Chapter number 14
Book title
Certified Programs and Proofs
Published in
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-35308-6_14
Book ISBNs
978-3-64-235307-9, 978-3-64-235308-6
Authors

Keisuke Nakano, Nakano, Keisuke

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 67%
Professor 1 17%
Student > Master 1 17%
Readers by discipline Count As %
Computer Science 5 83%
Mathematics 1 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 September 2019.
All research outputs
#14,778,674
of 25,389,532 outputs
Outputs from Lecture notes in computer science
#4,018
of 8,158 outputs
Outputs of similar age
#154,881
of 250,226 outputs
Outputs of similar age from Lecture notes in computer science
#204
of 485 outputs
Altmetric has tracked 25,389,532 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 50% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 250,226 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 485 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.