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Algebraic Informatics

Overview of attention for book
Cover of 'Algebraic Informatics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Learning Weighted Automata
  3. Altmetric Badge
    Chapter 2 More Than 1700 Years of Word Equations
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    Chapter 3 An Algebraic Geometric Approach to Multidimensional Words
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    Chapter 4 Why We Need Semirings in Automata Theory (Extended Abstract)
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    Chapter 5 Unbordered Pictures: Properties and Construction
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    Chapter 6 Effective Invariant Theory of Permutation Groups using Representation Theory
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    Chapter 7 On Differential Uniformity of Maps that May Hide an Algebraic Trapdoor
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    Chapter 8 On the Lower Block Triangular Nature of the Incidence Matrices to Compute the Algebraic Immunity of Boolean Functions
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    Chapter 9 Weighted Unranked Tree Automata over Tree Valuation Monoids and Their Characterization by Weighted Logics
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    Chapter 10 A New Partial Key Exposure Attack on Multi-power RSA
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    Chapter 11 A Chomsky-Schützenberger Theorem for Weighted Automata with Storage
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    Chapter 12 EF+EX Forest Algebras
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    Chapter 13 On Near Prime-Order Elliptic Curves with Small Embedding Degrees
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    Chapter 14 Key-Policy Multi-Authority Attribute-Based Encryption
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    Chapter 15 Extended Explicit Relations Between Trace, Definition Field, and Embedding Degree
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    Chapter 16 Complexity of Uniform Membership of Context-Free Tree Grammars
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    Chapter 17 Attacking BEAR and LION Schemes in a Realistic Scenario
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    Chapter 18 Weighted Restarting Automata and Pushdown Relations
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    Chapter 19 Equivalence Checking Problem for Finite State Transducers over Semigroups
Attention for Chapter 14: Key-Policy Multi-Authority Attribute-Based Encryption
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Citations

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Chapter title
Key-Policy Multi-Authority Attribute-Based Encryption
Chapter number 14
Book title
Algebraic Informatics
Published in
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-23021-4_14
Book ISBNs
978-3-31-923020-7, 978-3-31-923021-4
Authors

Riccardo Longo, Chiara Marcolla, Massimiliano Sala, Longo, Riccardo, Marcolla, Chiara, Sala, Massimiliano

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 3%
Germany 1 3%
Italy 1 3%
Unknown 31 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Researcher 6 18%
Student > Master 5 15%
Other 2 6%
Student > Bachelor 2 6%
Other 2 6%
Unknown 8 24%
Readers by discipline Count As %
Computer Science 19 56%
Mathematics 3 9%
Engineering 3 9%
Social Sciences 1 3%
Unknown 8 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 February 2016.
All research outputs
#20,303,950
of 22,842,950 outputs
Outputs from Lecture notes in computer science
#6,989
of 8,126 outputs
Outputs of similar age
#295,947
of 353,225 outputs
Outputs of similar age from Lecture notes in computer science
#216
of 257 outputs
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So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 353,225 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.