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Functional and Logic Programming

Overview of attention for book
Cover of 'Functional and Logic Programming'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 PrologCheck – Property-Based Testing in Prolog
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    Chapter 2 Generating Constrained Random Data with Uniform Distribution
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    Chapter 3 Guided Type Debugging
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    Chapter 4 Using Big-Step and Small-Step Semantics in Maude to Perform Declarative Debugging
  6. Altmetric Badge
    Chapter 5 Faustine: A Vector Faust Interpreter Test Bed for Multimedia Signal Processing
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    Chapter 6 The Design and Implementation of BER MetaOCaml
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    Chapter 7 On Cross-Stage Persistence in Multi-Stage Programming
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    Chapter 8 Lightweight Higher-Kinded Polymorphism
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    Chapter 9 Generic Programming with Multiple Parameters
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    Chapter 10 Type-Based Amortized Resource Analysis with Integers and Arrays
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    Chapter 11 Linear Sized Types in the Calculus of Constructions
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    Chapter 12 Dynamic Programming via Thinning and Incrementalization
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    Chapter 13 POSIX Regular Expression Parsing with Derivatives
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    Chapter 14 Proving Correctness of Compilers Using Structured Graphs
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    Chapter 15 A New Formalization of Subtyping to Match Subclasses to Subtypes
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    Chapter 16 Type Soundness and Race Freedom for Mezzo
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    Chapter 17 Semantics for Prolog with Cut – Revisited
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    Chapter 18 Constraint Logic Programming for Hedges: A Semantic Reconstruction
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    Chapter 19 How Many Numbers Can a Lambda-Term Contain?
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    Chapter 20 AC-KBO Revisited
  22. Altmetric Badge
    Chapter 21 Well-Structured Pushdown System: Case of Dense Timed Pushdown Automata
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
twitter
5 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Functional and Logic Programming
Published by
Lecture notes in computer science, January 2014
DOI 10.1007/978-3-319-07151-0
ISBNs
978-3-31-907150-3, 978-3-31-907151-0
Authors

Michael Codish, Eijiro Sumii

Editors

Michael Codish, Eijiro Sumii

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 33%
Unknown 2 67%
Readers by discipline Count As %
Computer Science 1 33%
Unknown 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 28 October 2022.
All research outputs
#2,178,580
of 25,248,299 outputs
Outputs from Lecture notes in computer science
#364
of 8,157 outputs
Outputs of similar age
#24,411
of 318,536 outputs
Outputs of similar age from Lecture notes in computer science
#27
of 283 outputs
Altmetric has tracked 25,248,299 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,157 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 done particularly well, scoring higher than 95% 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 318,536 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 283 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.