METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY

Journal Title

METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY

METHODOL COMPUT APPL

ISSN / eISSN

1387-5841 / 1573-7713

Aims and Scope

Methodology and Computing in Applied Probability will publish high quality research and review articles in the areas of applied probability that emphasize methodology and computing. Of special interest are articles in important areas of applications that include detailed case studies. Applied probability is a broad research area that is of interest to many scientists in diverse disciplines including: anthropology, biology, communication theory, economics, epidemiology, finance, linguistics, meteorology, operations research, psychology, quality control, reliability theory, sociology and statistics.

The following alphabetical listing of topics of interest to the journal is not intended to be exclusive but to demonstrate the editorial policy of attracting papers which represent a broad range of interests:
-Algorithms-
Approximations-
Asymptotic Approximations & Expansions-
Combinatorial & Geometric Probability-
Communication Networks-
Extreme Value Theory-
Finance-
Image Analysis-
Inequalities-
Information Theory-
Mathematical Physics-
Molecular Biology-
Monte Carlo Methods-
Order Statistics-
Queuing Theory-
Reliability Theory-
Stochastic Processes

Subject Area

STATISTICS & PROBABILITY

CiteScore

1.60 View Trend

CiteScore Ranking

Category	Quartile	Rank
Mathematics - General Mathematics	Q2	#143/387
Mathematics - Statistics and Probability	Q3	#149/262

Web of Science Core Collection

Science Citation Index Expanded (SCIE)	Social Sciences Citation Index (SSCI)
Indexed	-

Category (Journal Citation Reports 2023)	Quartile
STATISTICS & PROBABILITY - SCIE	Q4

H-index

25

Country/Area of Publication

UNITED STATES

Publisher

Springer US

Publication Frequency

Quarterly

Year Publication Started

1999

Annual Article Volume

58

Open Access

NO

Contact

SPRINGER, VAN GODEWIJCKSTRAAT 30, DORDRECHT, NETHERLANDS, 3311 GZ