Powder Diffraction
Published by Cambridge University Press (Journal Finder)
ISSN : 0885-7156 eISSN : 1945-7413
Abbreviation : Powder Diffr.
Aims & Scope
Powder Diffraction is a quarterly journal publishing articles, both experimental and theoretical, on the use of powder diffraction and related techniques for the characterization of crystalline materials.
It is published by Cambridge University Press (CUP) for the International Centre for Diffraction Data (ICDD).
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 0.4 |
| 2024 | 0.30 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.153 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q4 |
h-index
| Year | Value |
|---|---|
| 2024 | 53 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 24350 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 46 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Materials Science and Physics and Astronomy, designed to support cutting-edge academic discovery.
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.
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The Powder Diffraction File: a quality materials characterization database
Citation: 1117
Authors: Stacy, Thomas
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Whole powder pattern decomposition methods and applications: A retrospection
Citation: 679
Authors: Armel
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Computer Programs for Standardless Quantitative Analysis of Minerals Using the Full Powder Diffraction Profile
Citation: 478
Authors: J. C.
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The new Material Science Powder Diffraction beamline at ALBA Synchrotron
Citation: 350
Authors: F., I., C., M.
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Quantification of phases with partial or no known crystal structures
Citation: 300
Authors: Nicola V. Y., Ian C.
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Dysnomia, a computer program for maximum-entropy method (MEM) analysis and its performance in the MEM-based pattern fitting
Citation: 279
Authors: Koichi, Takuji, Alexei A., Fujio