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Financial Cryptography

Overview of attention for book
Financial Cryptography
Springer, Berlin, Heidelberg

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Efficient Trace and Revoke Schemes
  3. Altmetric Badge
    Chapter 2 Efficient Watermark Detection and Collusion Security
  4. Altmetric Badge
    Chapter 3 Towards More Sensible Anti-circumvention Regulations
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    Chapter 4 Self-Escrowed Cash against User Blackmailing
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    Chapter 5 Blind, Auditable Membership Proofs
  7. Altmetric Badge
    Chapter 6 Private Selective Payment Protocols
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    Chapter 7 Sharing Decryption in the Context of Voting or Lotteries
  9. Altmetric Badge
    Chapter 8 Postal Revenue Collection in the Digital Age
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    Chapter 9 Signing on a Postcard
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    Chapter 10 Payment Systems: The Next Generation
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    Chapter 11 Non-repudiation in SET: Open Issues
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    Chapter 12 Statistics and Secret Leakage
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    Chapter 13 Analysis of Abuse-Free Contract Signing
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    Chapter 14 Asymmetric Currency Rounding
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    Chapter 15 The Encryption Debate in Plaintext: National Security and Encryption in the United States and Israel
  17. Altmetric Badge
    Chapter 16 Critical Comments on the European Directive on a Common Framework for Electronic Signatures and Certification Service Providers
  18. Altmetric Badge
    Chapter 17 A Response to “Can We Eliminate Certificate Revocation Lists?”
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    Chapter 18 Self-Scrambling Anonymizers
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    Chapter 19 Authentic Attributes with Fine-Grained Anonymity Protection
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    Chapter 20 Resource-Efficient Anonymous Group Identification
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    Chapter 21 Secret Key Authentication with Software-Only Verification
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    Chapter 22 Panel: Public Key Infrastructure: PKIX, Signed XML or Something Else?
  24. Altmetric Badge
    Chapter 23 Financial Cryptography in 7 Layers
  25. Altmetric Badge
    Chapter 24 Capability-Based Financial Instruments
Attention for Chapter 24: Capability-Based Financial Instruments
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Mentioned by

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1 X user

Citations

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6 Dimensions

Readers on

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70 Mendeley
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Chapter title
Capability-Based Financial Instruments
Chapter number 24
Book title
Financial Cryptography
Published in
Lecture notes in computer science, January 2001
DOI 10.1007/3-540-45472-1_24
Book ISBNs
978-3-54-042700-1, 978-3-54-045472-4
Authors

Mark S. Miller, Chip Morningstar, Bill Frantz

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 1%
Italy 1 1%
Vietnam 1 1%
India 1 1%
United States 1 1%
Unknown 65 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 23%
Researcher 13 19%
Student > Master 8 11%
Other 7 10%
Student > Bachelor 6 9%
Other 14 20%
Unknown 6 9%
Readers by discipline Count As %
Computer Science 48 69%
Economics, Econometrics and Finance 5 7%
Business, Management and Accounting 4 6%
Engineering 2 3%
Social Sciences 2 3%
Other 3 4%
Unknown 6 9%
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 12 November 2011.
All research outputs
#18,300,116
of 22,656,971 outputs
Outputs from Lecture notes in computer science
#6,006
of 8,123 outputs
Outputs of similar age
#109,809
of 113,934 outputs
Outputs of similar age from Lecture notes in computer science
#18
of 23 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,123 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 14th percentile – i.e., 14% 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 113,934 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 23 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.