CrushSCI.com
178.3Average days
145Median days
74Fastest days
387Longest days
172025 publications

Paper Review Records

All Paper Review Records

10 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.

78 days

A review of Malaysian government policies for sustainable wood use: impacts and future directions

Authors
A. F. Kamarubahrin; N. Saadun; J. Jamaluddin; A. T. Hoaw ShiangShow moreShow less
Affiliations
1. Universiti Putra MalaysiaShow moreShow less
Source PDF DOI Publisher page
74 days

Transforming Australia’s forests: integrating timber, carbon, and nature to restore landscapes and secure Australia’s future – keynote address to the 2025 Forestry Australia Conference

Authors
R. KuppalliShow moreShow less
Affiliations
1. Greening Australia and Accounting for NatureShow moreShow less
Source PDF DOI Publisher page
189 days

What is driving the continued decline of critically endangered swift parrots? a re-examination of the research papers

Authors
S. J. GroveShow moreShow less
Affiliations
1. Independant ResearcherShow moreShow less
Source PDF DOI Publisher page
163 days

Impact of exchange rate on Brazilian publicly traded pulp and paper companies: the effect of the COVID-19 pandemic

Authors
K. D. Pereira; M. Lopes da Silva; H. Garcia da Silva; L. A. Jacovine; N. S. Soares; L. Carlos de Freitas; P. H. M. MonroeShow moreShow less
Affiliations
1. Universidade Federal de Viçosa (UFV); 2. Universidade Estadual de Santa Cruz (UESC); 3. Univervidade Estadual do Sudoeste da Bahia (UESB)Show moreShow less
Source PDF DOI Publisher page

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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?

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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

SampleLatest 5 valid paper samples from 2026

Average review62 days

Median65 days

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