SCIESCOPUSQ3
Integrating Materials and Manufacturing Innovation
SPRINGER HEIDELBERG, Switzerland
Integrating Materials and Manufacturing Innovation is an academic journal published by SPRINGER HEIDELBERG (Switzerland). Identifiers: ISSN 2193-9764, eISSN 2193-9772. Indexed in SCIE, SCOPUS. Metrics: JIF 2.5, CiteScore 4.8, SJR 0.698, SNIP 1.04. Subject areas: ENGINEERING, MANUFACTURING, MATERIALS SCIENCE, MATERIALS SCIENCE, MULTIDISCIPLINARY. tlooto lists 510 papers from this journal.
CiteScore
4.80
Scopus citation metric
SJR
0.698
SCImago rank
SNIP
1.04
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 2193-9764
- eISSN
- 2193-9772
- Abbreviation
- INTEGR MATER MANUF I
- Publisher
- SPRINGER HEIDELBERG
- Country
- Switzerland
Web of Science categories
SCIEENGINEERING, MANUFACTURING, MATERIALS SCIENCE, MULTIDISCIPLINARY
Scopus ASJC categories
2209 Industrial and Manufacturing Engineering2500 General Materials Science
Keywords
Engineering, Manufacturing | Materials Science, Multidisciplinary
Papers in this journal
Recent papers
- Physics-Informed Deep Learning for Bearing Remaining Useful Life: Adaptive Paris-Law Regularization with Gaussian Processes
2026 · 1 citations
- Machine Learning Prediction and Experimental Validation of Externally Solidified Crystal Formation in Aluminum Die Casting Process
2026
- Grain Structure Formation and Processability Windows in Laser Powder Bed Fusion-Processed Bi2Te3
2026
- An Integrated Computational Materials Engineering (ICME) Approach to Design Nonlinear Transition Zones Between Dissimilar Metals
2026
- Flexible Generation of Polycrystalline Representative Volume Elements on Pre-Meshed Geometries: A Novel ABAQUS Toolbox for Crystal Plasticity Simulations
2026
Most cited papers
- DREAM.3D: A Digital Representation Environment for the Analysis of Microstructure in 3D
2014 · 1,032 citations
- In-process sensing in selective laser melting (SLM) additive manufacturing
2016 · 464 citations
- Perspectives on the Impact of Machine Learning, Deep Learning, and Artificial Intelligence on Materials, Processes, and Structures Engineering
2018 · 305 citations
- Metal additive-manufacturing process and residual stress modeling
2016 · 293 citations
- Exploration of data science techniques to predict fatigue strength of steel from composition and processing parameters
2014 · 259 citations