SCOPUS
Environmental Challenges
Elsevier, Netherlands
Environmental Challenges is an academic journal published by Elsevier (Netherlands). Identifiers: eISSN 2667-0100. Indexed in SCOPUS. Metrics: CiteScore 11.7, SJR 1.183, SNIP 1.66. tlooto lists 1,672 papers from this journal.
CiteScore
11.70
Scopus citation metric
SJR
1.183
SCImago rank
SNIP
1.66
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- -
- eISSN
- 2667-0100
- Abbreviation
- -
- Publisher
- Elsevier
- Country
- Netherlands
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
2305 Environmental Engineering2306 Global and Planetary Change2308 Management2310 Pollution2311 Waste Management and Disposal
Papers in this journal
Recent papers
- Mapping and connectivity analysis of thermal comfort zones in Shanghai using a modified temperature–humidity index
2026
- Corrigendum to “From engines to orbits: Unveiling the hidden CO and NO2 footprint of vehicle exhaust on satellite retrievals through machine-learning” [Environmental Challenges, Volume 22, March 2026, 101431]
2026
- Integrated Remote Sensing and Multi-Criteria Evaluation to Assess Coastal Ecosystem Degradation under Climate and Human Pressures: Insights from Bangladesh
2026 · 3 citations
- The potential of collected rainwater as an alternative water resource for domestic purpose to mitigate groundwater overexploitation in terms of water quality and people’s acceptance
2026
- Climate-induced potential driver of water conflicts over natural resource and the role of land use and land cover change in the Lake Chad catchment
2026 · 1 citations
Most cited papers
- Eutrophication: Causes, Consequences, Physical, Chemical and Biological Techniques for Mitigation Strategies
2023 · 471 citations
- Microplastics with adsorbed contaminants: Mechanisms and Treatment
2021 · 264 citations
- Environmental Waste Management Strategies and Vermi Transformation for Sustainable Development
2023 · 230 citations
- Land use and land cover change detection and prediction in Bhutan's high altitude city of Thimphu, using cellular automata and Markov chain
2021 · 196 citations
- Comparison of Accuracy and Reliability of Random Forest, Support Vector Machine, Artificial Neural Network and Maximum Likelihood method in Land use/cover Classification of Urban Setting
2023 · 176 citations