Performance Measurement and Metrics

metrics 2024

Enhancing Understanding through Rigorous Measurement Practices

Introduction

Performance Measurement and Metrics is an esteemed journal published by EMERALD GROUP PUBLISHING LTD, focusing on the critical intersections of performance measurement and metrics within the domains of Library and Information Sciences and Literature and Literary Theory. With an ISSN of 1467-8047 and an E-ISSN of 1758-6925, this journal serves as a pivotal resource for researchers, practitioners, and students keen on understanding and applying innovative measurement techniques to enhance performance in these fields. The journal has established a commendable reputation, ranking in the Q2 category for Library and Information Sciences and Q1 in Literature and Literary Theory as of 2023. Its Scopus rank of #96/280 in Social Sciences indicates a 65th percentile standing, reinforcing its relevance and scholarly impact. Although it does not currently operate as an open-access journal, its wide publication scope from 2000 to 2024 ensures a comprehensive collection of research articles, case studies, and theoretical discussions pivotal for advancing knowledge and practice in the field.

Metrics 2024

SCIMAGO Journal Rank0.32
Journal Impact Factor1.80
Journal Impact Factor (5 years)1.40
H-Index26
Journal IF Without Self1.80
Eigen Factor0.00
Normal Eigen Factor0.05
Influence0.37
Immediacy Index0.60
Cited Half Life11.90
Citing Half Life9.80
JCI0.14
Total Documents426
WOS Total Citations364
SCIMAGO Total Citations923
SCIMAGO SELF Citations118
Scopus Journal Rank0.32
Cites / Document (2 Years)1.35
Cites / Document (3 Years)1.75
Cites / Document (4 Years)1.53

Metrics History

Rank 2024

Scopus

Library and Information Sciences in Social Sciences
Rank #96/280
Percentile 65.71
Quartile Q2

IF (Web Of Science)

INFORMATION SCIENCE & LIBRARY SCIENCE
Rank 61/160
Percentile 62.20
Quartile Q2

JCI (Web Of Science)

INFORMATION SCIENCE & LIBRARY SCIENCE
Rank 121/161
Percentile 24.84
Quartile Q4

Quartile History

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