Journal Title
LAW PROBABILITY & RISK

LAW PROBAB RISK

ISSN / eISSN
1470-8396 / 1470-840X
Aims and Scope
Law, Probability & Risk is a fully refereed journal which publishes papers dealing with topics on the interface of law and probabilistic reasoning. These are interpreted broadly to include aspects relevant to the interpretation of scientific evidence, the assessment of uncertainty and the assessment of risk. The readership includes academic lawyers, mathematicians, statisticians and social scientists with interests in quantitative reasoning.
The primary objective of the journal is to cover issues in law, which have a scientific element, with an emphasis on statistical and probabilistic issues and the assessment of risk.

Examples of topics which may be covered include communications law, computers and the law, environmental law, law and medicine, regulatory law for science and technology, identification problems (such as DNA but including other materials), sampling issues (drugs, computer pornography, fraud), offender profiling, credit scoring, risk assessment, the role of statistics and probability in drafting legislation, the assessment of competing theories of evidence (possibly with a view to forming an optimal combination of them). In addition, a whole new area is emerging in the application of computers to medicine and other safety-critical areas. New legislation is required to define the responsibility of computer experts who develop software for tackling these safety-critical problems.
Subject Area

LAW

MATHEMATICS

SOCIAL SCIENCES, MATHEMATICAL METHODS

CiteScore
1.60 View Trend
CiteScore Ranking
Category Quartile Rank
Arts and Humanities - Philosophy Q1 #121/762
Arts and Humanities - Law Q2 #261/885
Arts and Humanities - Statistics, Probability and Uncertainty Q3 #94/160
Web of Science Core Collection
Science Citation Index Expanded (SCIE) Social Sciences Citation Index (SSCI)
Indexed Indexed
Category (Journal Citation Reports 2023) Quartile
LAW - SSCI Q4
MATHEMATICS - SCIE Q3
SOCIAL SCIENCES, MATHEMATICAL METHODS - SSCI Q4
STATISTICS & PROBABILITY - SCIE Q4
H-index
11
Country/Area of Publication
ENGLAND
Publisher
Oxford University Press
Annual Article Volume
11
Open Access
NO
Contact
GREAT CLARENDON ST, OXFORD, ENGLAND, OX2 6DP

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