METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY

metrics 2024

Advancing the frontier of applied probability and computation.

Introduction

METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY is a distinguished journal published by SPRINGER, dedicated to advancing research in applied probability and its relationship with various computational methodologies. With an ISSN of 1387-5841 and an E-ISSN of 1573-7713, this journal provides a platform for innovative studies that bridge theory and practical application in the field of mathematics and statistics. Ranking in the Q2 category for Mathematics (miscellaneous) and Q3 for Statistics and Probability as of 2023, it reflects a robust academic discourse, featuring contributions that span a range of methodologies utilized in probability-related studies. The journal's sustained engagement in the academic landscape from 2004 to 2024 puts it at the forefront of ongoing developments in statistics and probability. Researchers, professionals, and students alike will find the insights found within to be invaluable for both theoretical understanding and practical implementation.

Metrics 2024

SCIMAGO Journal Rank0.43
Journal Impact Factor1.00
Journal Impact Factor (5 years)0.90
H-Index35
Journal IF Without Self1.00
Eigen Factor0.00
Normal Eigen Factor0.31
Influence0.41
Immediacy Index0.30
Cited Half Life6.80
Citing Half Life13.60
JCI0.51
Total Documents1131
WOS Total Citations867
SCIMAGO Total Citations2536
SCIMAGO SELF Citations171
Scopus Journal Rank0.43
Cites / Document (2 Years)1.14
Cites / Document (3 Years)1.06
Cites / Document (4 Years)1.04

Metrics History

Rank 2024

Scopus

General Mathematics in Mathematics
Rank #138/399
Percentile 65.41
Quartile Q2
Statistics and Probability in Mathematics
Rank #159/278
Percentile 42.81
Quartile Q3

IF (Web Of Science)

STATISTICS & PROBABILITY
Rank 93/168
Percentile 44.90
Quartile Q3

JCI (Web Of Science)

STATISTICS & PROBABILITY
Rank 88/168
Percentile 47.62
Quartile Q3

Quartile History

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