Atmospheric Pollution Research
Published by Elsevier
ISSN : 1309-1042
Abbreviation : Atmospheric Pollut. Res.
Aims & Scope
Atmospheric Pollution Research (APR) is an international journal designed for the publication of articles on air pollution.
Papers should present novel experimental results, theory and modeling of air pollution on local, regional, or global scales.
Areas covered are research on inorganic, organic, and persistent organic air pollutants, air quality monitoring, air quality management, atmospheric dispersion and transport, air-surface (soil, water, and vegetation) exchange of pollutants, dry and wet deposition, indoor air quality, exposure assessment, health effects, satellite measurements, natural emissions, atmospheric chemistry, greenhouse gases, and effects on climate change.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 3.5 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.993 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
Journal Rank
Year | Value |
---|---|
2024 | 4876 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 3813 |
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 Earth and Planetary Sciences and Environmental Science, designed to support cutting-edge academic discovery.
Licensing & Copyright
This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.
Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.
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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Application of k-means and hierarchical clustering techniques for analysis of air pollution: A review (1980–2019)
Citation: 429
Authors: P., V.
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An LSTM-based aggregated model for air pollution forecasting
Citation: 264
Authors: Yue-Shan, Hsin-Ta, Satheesh, Yo-Ping, Yi-Ting, Kuan-Ming
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Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions
Citation: 263
Authors: Yun, Yong, Xiaoxue, Jingjing, Chuan
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Recursive neural network model for analysis and forecast of PM10 and PM2.5
Citation: 257
Authors: Fabio, Marcella, Marco, Barbara, Eleonora, Sebastiano, Sinibaldo, Carlo, Gianluigi, Piero
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Impact of technological innovation on CO2 emissions and emissions trend prediction on ‘New Normal’ economy in China
Citation: 249
Authors: Yang, Yu
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Assessment of air pollution around coal mining area: Emphasizing on spatial distributions, seasonal variations and heavy metals, using cluster and principal component analysis
Citation: 238
Authors: Bhanu, Madhoolika, Siddharth
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Air quality policy in the U.S. and the EU – a review
Citation: 200
Authors: Karolina, Lidia, Jacek
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How do low wind speeds and high levels of air pollution support the spread of COVID-19?
Citation: 194
Authors: Mario
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A review of standards and guidelines set by international bodies for the parameters of indoor air quality
Citation: 185
Authors: Sabah Ahmed, Stephen, Ali, Lena, Kaan