Performance Measurement and Metrics Cover Image for Volume 27, Issue 3
Current Issue
Volume 27,
Issue 3,
3 July 2026

About the Journal

Performance Measurement and Metrics is a leading double-blind refereed, international journal, charting new developments and techniques for libraries, museums and archives to assess their performance, value and impact.

Submission information

Accepted manuscript types and word counts

  • Research Paper — up to 5000 words
  • Case Study — up to 5000 words
  • Technical Paper — up to 5000 words
  • Viewpoint — up to 3000 words
  • Editorial — up to 3000 words

Please see the article types and word counts section on the about this journal page for more information. The word count includes all text, figures and tables. When estimating your total, please allow 280 words for each figure or table. Read more about the article types for this journal.

Reference style

Use the Harvard reference style. Read more about the reference types for this journal.

Keywords

Please include up to 6 short, relevant keywords that describe the main topics of your paper.

Peer review type

Double anonymous peer review. All submissions are sent to at least 2 independent and anonymous reviewers.

Open access options

This is a hybrid journal. Hybrid journals are subscription journals but offer all authors the option to publish their work open access. If you choose to publish open access you will be required to pay an article processing charge (APC). Alternatively you can opt for the green open access route and self-archive your article (at no cost to the author). Read more about our open access options.

Accepted languages

This journal only accepts manuscripts written in UK or US English.

Accepted submission files

Article files should be provided in Microsoft Word format.

View author guidelines

Calls for papers

Closes: 30th December 2026

This special issue explores intelligent and sustainable performance evaluation frameworks for libraries and documentary institutions, emphasizing value creation, governance, resilience, and evidence-based impact assessment.

Guest editor(s): Dr. Hayet Torchi (hayet.torchi@univ-biskra.dz) | Pr. Basma Makhlouf Shabou (basma.makhlouf-shabou@hesge.ch) | Pr. Sherif Kamel Shaheen (s_shaheen@cu.edu.eg) | Pr. Nabhan Al-Harrasi (nabhan@squ.edu.om)

Closes: 15th January 2027

AI transforms library operations via LLMs for metrics, retrieval, and synthesis, enabling proactive management, yet faces challenges in ethics, accuracy, and role definition.

Guest editor(s): Pit Pichappan, Juan Jose Prieto-Gutierrez

Open access articles

David Streatfield, Pablo Andrade Blanco et al.