Engineering Research Express

About Engineering Research Express

Engineering Research Express is a peer-reviewed academic journal published by IOP Publishing.

Editorial Perspective & Metric Analysis

Based on current metadata, Engineering Research Express maintains a standard position in the GB academic market. With an impact factor of 1.42, it remains a steady venue for researchers in its specific sub-fields.

ISSN (Print) 2631-8695
Publisher IOP Publishing
Country United Kingdom
APC / Cost Inquire with Publisher
About Engineering Research Express

Engineering Research Express is a peer-reviewed academic journal published by IOP Publishing.

Engineering Research Express is published by IOP Publishing from GB as a journal. It has published 4,911 works to date, attracting 13,559 citations across the literature. The journal carries an h-index of 35, reflecting both depth of catalog and sustained citation impact. Recent publishing activity centers on Machine Fault Diagnosis Techniques, Advanced machining processes and optimization, Advanced Neural Network Applications.
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Frequently Asked Questions about Engineering Research Express

The current impact factor of Engineering Research Express is 1.421.

No, Engineering Research Express is not an open access journal.

Engineering Research Express is published by IOP Publishing.
Live Indexing Status
Updated April 2026

Track real-time indexing metrics to ensure this journal meets your academic requirements.

OpenAlex
Verified
DOAJ
Non-OA
Predatory Check
Clean
Impact Factor
1.421
Current Impact Factor
Historical Trend
Initial data points only
Impact Factors by Year
Year Value Source
2025 1.421 CiteScore (Scopus)

Works Published per Year (2019–2025)

Annual publication volume sourced from OpenAlex. Current year omitted (partial data).

Journal at a Glance
4,911
Total Works
13,559
Total Citations
35
h-index
1.42
2-Yr Mean Citedness

Source: OpenAlex — refreshed daily.

Top Research Topics

The areas where Engineering Research Express most frequently publishes, ranked by article volume.

  1. Machine Fault Diagnosis Techniques
    Engineering
    272 works
  2. Advanced machining processes and optimization
    Engineering
    189 works
  3. Advanced Neural Network Applications
    Computer Science
    169 works
  4. Aluminum Alloys Composites Properties
    Engineering
    160 works
  5. Industrial Vision Systems and Defect Detection
    Engineering
    151 works
  6. Advanced Machining and Optimization Techniques
    Engineering
    137 works
  7. Additive Manufacturing and 3D Printing Technologies
    Engineering
    119 works
  8. Advanced Battery Technologies Research
    Engineering
    112 works
Metadata

Last updated: Apr 24, 2026

Updated by: openalex_bulk

OpenAlex ID: S4210221144

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