Infrastructure Asset Management

Aims & Scope

Infrastructure Asset Management (INAM) is an industry-facing multi-disciplinary journal publishing articles on the emerging aspects of asset management.

It aims to publish peer reviewed works on all types of civil infrastructure assets both in the public and private domains, engaging academics, researchers, and industry practitioners to share new knowledge about practical solutions to current and future challenges.

INAM welcomes works on traditional areas of asset management such as policy and strategy development, condition assessment and work programming, delivery and performance management etc.

The journal also encourages submissions about emerging areas such as whole of life management, sustainability and resilience improvements, asset vulnerability evaluation, carbon reduction, building information modelling (BIM), robotics and remote access tools, GIS based mapping, organisational reform, integrated assets, and risk and opportunity management.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.5
2024	1.90

Journal Rank

Year	Value
2024	17873

Journal Citation Indicator

Year	Value
2024	74

SJR (SCImago Journal Rank)

Year	Value
2024	0.267

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	7

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering and Social Sciences, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Sustainability appraisal of arsenic mitigation policy innovations in West Bengal, India

  Citation: 66

  Authors: Soumyajit

• A road infrastructure asset management process: gains in efficiency and effectiveness

  Citation: 37

  Authors: Bryan T

• Predicting road traffic accidents using artificial neural network models

  Citation: 34

  Authors: Borja, Andreas, Markus, Bryan T

• A Bayesian network model to predict accidents on Swiss highways

  Citation: 33

  Authors: Markus, Matthias, Bryan T, Borja

• Towards the future-proofing of UK infrastructure

  Citation: 27

  Authors: Tariq, Duncan, Ajith Kumar, John, Andrew, Jennifer

• Briefing: Standards in asset management: PAS 55 to ISO 55000

  Citation: 23

  Authors: John

• Defining road service to facilitate road infrastructure asset management

  Citation: 22

  Authors: Bryan T, Marcel, Claudio

• Climate impacts on flood and coastal erosion infrastructure

  Citation: 21

  Authors: Paul, Claire, Richard

• Estimating and communicating the risk of neglecting maintenance

  Citation: 21

  Authors: Bryan T, Claudio, Natalia, Marcel

• Asset system of systems resilience planning: the Toronto case

  Citation: 20

  Authors: David N.

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