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Environmental Sciences & Ecology
Environmental Sciences & Ecology
Paper Review Records
All Paper Review Records
15 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
348
days
Improved forecasting of spring flood volume and low-flow discharge in the Buktyrma river (Kazakhstan) using hydrometeorological and soil–water indicators
Authors
Serik B. Sairov; Nurgalym T. Serikbay; Javier Rodrigo-Ilarri; Sayat K. Alimkulov; Tursyn A. Tillakarim; María-Elena Rodrigo-ClaveroShow moreShow less
Affiliations
1. Research Center, Republican State Enterprise “Kazhydromet”, Astana, Kazakhstan; 2. Department of Meteorology and Hydrology, Al- Farabi, Kazakh National University, Almaty, Kazakhstan; 3. Instituto de Ingeniería del Agua y del Medio Ambiente (IIAMA), Universitat Politècnica de València (UPV), Valencia, Spain; 4. Institute of Geography and Water Security, Almaty, KazakhstanShow moreShow less
367
days
Arsenic removal from wastewater using the bio-based graphene oxide and magnetite nanocomposites: reaction kinetic study
Authors
Muhammad Shahbaz Akhtar; Raja Ameer Zulkifal; Shinho Chung; Seok Dockko; Ali Irfan; M. Khairy; Yoshitaka Nakashima; Muhammad Atif Irshad; Sami A. Al-Hussain; Magdi E. A. ZakiShow moreShow less
Affiliations
1. Department of Environmental Sciences, Forman Christian College University, Lahore, Pakistan; 2. Graduate School of Environmental, Life, Natural Science and Technology, Okayama University, Okayama, Japan; 3. Department of Civil and Environmental Engineering, Dankook University, Yongin-si, South Korea; 4. The Green Institute of Chemical Biomedical and Environmental Sciences (GICBES), Lahore, Pakistan; 5. Department of Chemistry, Government college University Faisalabad, Faisalabad, Pakistan; 6. Department of Chemistry, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia; 7. Department of Environmental Sciences, The University of Lahore, Lahore, PakistanShow moreShow less
164
days
Interpretable machine learning for groundwater-level prediction incorporating pumping-well power consumption
Authors
Sheng-Wei Wang; Masaomi Kimura; Andreas Wunsch; Yen-Yu Chen; Wen-Chi ChenShow moreShow less
Affiliations
1. Department of Civil Engineering, National Central University, Taoyuan, Taiwan (ROC); 2. Faculty of Agriculture, Kindai University, Nara, Japan; 3. Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, Karlsruhe, GermanyShow moreShow less
Expert Matching · Case Demo
Turn Your Submission Goalsinto a Verifiable Journal Plan
Share your field, deadline, and author profile. CrushSCI uses real review records to suggest a title direction, shortlist journals, and estimate timelines.
Client
I work in environmental engineering and need an SCI paper published within three months. I have no grant funding or prominent co-author. Which journals could I target?
CrushSCI
Yes. We will first screen for feasibility against the 90-day deadline, then identify comparable papers without grant support or prominent co-authors. The final shortlist will prioritize research quality and journal scope.
- Suggested title
- Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment
- Database shortlist
- Environmental Technology & Innovation
SampleLatest 5 valid paper samples from 2026
Average review62 days
Median65 days