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Functional Programming Languages and Computer Architecture

Overview of attention for book
Cover of 'Functional Programming Languages and Computer Architecture'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 26 Miranda: A non-strict functional language with polymorphic types
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    Chapter 27 Data flow graph optimization in if1
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    Chapter 28 Strictness analysis — a practical approach
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    Chapter 29 The categorical abstract machine
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    Chapter 30 High order programming in extended FP
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    Chapter 31 Secd-m: a virtual machine for applicative programming
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    Chapter 32 Cobweb — A combinator reduction architecture
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    Chapter 33 How to replace failure by a list of successes a method for exception handling, backtracking, and pattern matching in lazy functional languages
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    Chapter 34 Lazy memo-functions
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    Chapter 35 An architecture for fast data movement in the FFP machine
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    Chapter 36 An architecture that efficiently updates associative aggregates in applicative programming languages
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    Chapter 37 Lambda lifting: Transforming programs to recursive equations
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    Chapter 38 Optimizing almost-tail-recursive prolog programs
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    Chapter 39 Designing regular array architectures using higher order functions
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    Chapter 40 $$v\mathcal{F}\mathcal{P}$$ : An environment for the multi-level specification, analysis, and synthesis of hardware algorithms
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    Chapter 41 A distributed garbage collection algorithm
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    Chapter 42 Cyclic reference counting for combinator machines
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    Chapter 43 Design for a multiprocessing heap with on-board reference counting
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    Chapter 44 A functional language and modular architecture for scientific computing
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    Chapter 45 Practical polymorphism
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    Chapter 46 Program verification in a logical theory of constructions
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    Chapter 47 Transforming recursive programs for execution on parallel machines
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    Chapter 48 Compiling pattern matching
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    Chapter 49 Serial combinators: "optimal" grains of parallelism
  26. Altmetric Badge
    Chapter 50 The G-machine: A fast, graph-reduction evaluator
Attention for Chapter 26: Miranda: A non-strict functional language with polymorphic types
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
57 Mendeley
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Chapter title
Miranda: A non-strict functional language with polymorphic types
Chapter number 26
Book title
Functional Programming Languages and Computer Architecture
Published in
Lecture notes in computer science, June 2005
DOI 10.1007/3-540-15975-4_26
Book ISBNs
978-3-54-015975-9, 978-3-54-039677-2
Authors

D. A. Turner, Turner, D. A.

Editors

Jean-Pierre Jouannaud

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Colombia 1 2%
Germany 1 2%
Switzerland 1 2%
Netherlands 1 2%
Iran, Islamic Republic of 1 2%
United States 1 2%
Unknown 50 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 25%
Professor 12 21%
Student > Master 6 11%
Professor > Associate Professor 6 11%
Other 5 9%
Other 9 16%
Unknown 5 9%
Readers by discipline Count As %
Computer Science 46 81%
Engineering 2 4%
Mathematics 1 2%
Economics, Econometrics and Finance 1 2%
Linguistics 1 2%
Other 2 4%
Unknown 4 7%
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 29 December 2021.
All research outputs
#7,451,284
of 22,780,165 outputs
Outputs from Lecture notes in computer science
#2,485
of 8,124 outputs
Outputs of similar age
#20,271
of 57,169 outputs
Outputs of similar age from Lecture notes in computer science
#14
of 62 outputs
Altmetric has tracked 22,780,165 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% 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 57,169 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.