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International Journal of Big Data Mining for Global Warming is a peer-reviewed journal published by World Scientific, covering Climate variability and models, Climate change impacts on agriculture, Hydrology and Drought Analysis.
| Publisher | World Scientific |
|---|---|
| Reference style | Superscript numbered (World Scientific) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. International Journal of Big Data Mining for Global Warming 12, 45–58 (2023).
Formats any DOI in the closest standard style — International Journal of Big Data Mining for Global Warming has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Climate variability and models Climate change impacts on agriculture Hydrology and Drought Analysis Diverse Scientific and Economic Studies Human auditory perception and evaluation |
| ISSN | 2630-5348 |
| Citation impact (2-yr) | 7.72 |
| h-index | 9 |
| i10-index | 8 |
| Total citations | 376 |
| Top institutions publishing here | University of Abou Bekr Belkaïd |
| Journal website | www.worldscientific.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Building price forecasts of agricultural commodities plays a significant role in decision making processes of market participants and policy design/implementations of policymakers. Constructing price forecasts of rice is of particular importance as it serves as a strategic food resource across the globe. In this work, we address such a price forecast problem based on weekly…
Forecasting the prices of agricultural commodities has always been an important task for regulators and investors. The weekly price prediction problem for wholesale soybean oil in the Chinese market from January 1, 2010 to January 3, 2020 is examined in this study, with data sourced from China’s National Wholesale Price Information System, since price forecasting…
As economies integrate financially and both investment and output increase, the environment may be affected depending on the nature of international financial resources attracted into the country. Hence, this study examines the effect of financial integration, output growth, and foreign direct investment (FDI) on the environment in selected African countries involving Nigeria, South Africa, Egypt,…
This study examined both long-term and short-term trends and fluctuations in rainfall and temperature over 34 meteorological stations located at seven regions in Bangladesh. Descriptive statistical analysis and Mann–Kendall trend test were utilized to investigate the variability of the rainfall and temperature of all stations in Bangladesh. Our research gave some insights into Bangladesh’s rainfall…
In this study, we assess the future changes in minimum temperature (T-min), maximum temperature (T-max), and precipitation (PRCP) for the three periods the 2020s (2011–2040), the 2050s (2041–2070), and the 2080s (2071–2100), with respect to the reference period 1981–2010 over Algeria focusing on a validation of the Statistical DownScaling Model (SDSM). In this approach, to…
