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AI Approaches to the Complexity of Legal Systems

Overview of attention for book
Cover of 'AI Approaches to the Complexity of Legal Systems'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Law, Social Intelligence, nMAS and the Semantic Web: An Overview
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    Chapter 2 The Legal Roots of Social Intelligence and the Challenges of the Information Revolution
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    Chapter 3 Methods for Law and ICT: An Approach for the Development of Smart Cities
  5. Altmetric Badge
    Chapter 4 Opening Public Deliberations: Transparency, Privacy, Anonymisation
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    Chapter 5 Online Dispute Resolution and Models of Relational Law and Justice: A Table of Ethical Principles
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    Chapter 6 Drafting a Composite Indicator of Validity for Regulatory Models and Legal Systems
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    Chapter 7 Measuring the Complexity of the Legal Order over Time
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    Chapter 8 Time, Trust and Normative Change. On Certain Sources of Complexity in Judicial Decision-Making
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    Chapter 9 The Construction of Models and Roles in Normative Systems
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    Chapter 10 Integrating Legal-URN and Eunomos: Towards a Comprehensive Compliance Management Solution
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    Chapter 11 Criminal Liability of Autonomous Agents: From the Unthinkable to the Plausible
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    Chapter 12 Extraction of Legal Definitions and Their Explanations with Accessible Citations
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    Chapter 13 Representing Judicial Argumentation in the Semantic Web
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    Chapter 14 On the Road to Regulatory Ontologies
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    Chapter 15 Conceptual Modeling of Judicial Procedures in the e-Codex Project
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    Chapter 16 Organized Crime Structure Modelling for European Law Enforcement Agencies Interoperability through Ontologies
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    Chapter 17 Harnessing Content and Context for Enhanced Decision Making
  19. Altmetric Badge
    Chapter 18 Consumedia. Functionalities, Emotion Detection and Automation of Services in a ODR Platform
  20. Altmetric Badge
    Chapter 19 AI Approaches to the Complexity of Legal Systems
  21. Altmetric Badge
    Chapter 20 A Method for Defining Human-Machine Micro-task Workflows for Gathering Legal Information
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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

policy
1 policy source
twitter
4 X users
facebook
1 Facebook page
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
45 Mendeley
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Title
AI Approaches to the Complexity of Legal Systems
Published by
Lecture notes in computer science, January 2014
DOI 10.1007/978-3-662-45960-7
ISBNs
978-3-66-245959-1, 978-3-66-245960-7
Authors

Pompeu Casanovas, Ugo Pagallo, Monica Palmirani, Giovanni Sartor

Editors

Pompeu Casanovas, Ugo Pagallo, Monica Palmirani, Giovanni Sartor

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 24%
Researcher 5 11%
Student > Bachelor 4 9%
Student > Ph. D. Student 3 7%
Lecturer 2 4%
Other 5 11%
Unknown 15 33%
Readers by discipline Count As %
Computer Science 14 31%
Social Sciences 8 18%
Business, Management and Accounting 4 9%
Veterinary Science and Veterinary Medicine 1 2%
Environmental Science 1 2%
Other 2 4%
Unknown 15 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 07 September 2022.
All research outputs
#3,980,843
of 24,410,160 outputs
Outputs from Lecture notes in computer science
#862
of 8,155 outputs
Outputs of similar age
#45,312
of 315,487 outputs
Outputs of similar age from Lecture notes in computer science
#44
of 282 outputs
Altmetric has tracked 24,410,160 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,155 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 89% 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 315,487 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 282 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.