PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES

Journal Title
PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES

PROBAB ENG INFORM SC

ISSN / eISSN
0269-9648 / 1469-8951
Aims and Scope
The primary focus of the journal is on stochastic modelling in the physical and engineering sciences, with particular emphasis on queueing theory, reliability theory, inventory theory, simulation, mathematical finance and probabilistic networks and graphs. Papers on analytic properties and related disciplines are also considered, as well as more general papers on applied and computational probability, if appropriate. Readers include academics working in statistics, operations research, computer science, engineering, management science and physical sciences as well as industrial practitioners engaged in telecommunications, computer science, financial engineering, operations research and management science.
Subject Area

ENGINEERING, INDUSTRIAL

OPERATIONS RESEARCH & MANAGEMENT SCIENCE

STATISTICS & PROBABILITY

CiteScore
1.90 View Trend
CiteScore Ranking
Category Quartile Rank
Mathematics - Statistics and Probability Q2 #125/262
Mathematics - Statistics, Probability and Uncertainty Q3 #81/160
Mathematics - Industrial and Manufacturing Engineering Q3 #198/355
Mathematics - Management Science and Operations Research Q3 #126/198
Web of Science Core Collection
Science Citation Index Expanded (SCIE) Social Sciences Citation Index (SSCI)
Indexed -
Category (Journal Citation Reports 2023) Quartile
ENGINEERING, INDUSTRIAL - SCIE Q4
OPERATIONS RESEARCH & MANAGEMENT SCIENCE - SCIE Q4
STATISTICS & PROBABILITY - SCIE Q3
H-index
32
Country/Area of Publication
UNITED STATES
Publisher
Cambridge University Press
Publication Frequency
Quarterly
Annual Article Volume
73
Open Access
NO
Contact
CAMBRIDGE UNIV PRESS, 32 AVENUE OF THE AMERICAS, NEW YORK, USA, NY, 10013-2473

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