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Mohammed Safwan

Mohammed Safwan

Teljes publikációs lista

Tudóstér társszerzők statisztika szűrhető publikációs lista
Feltöltött közlemény:
96
DEA-ban:
96
OA:
52
Publikációs időszak:
2018-2025
2025
1.
Ata, B., Pénzes, J., Pakrooh, P., Lotfata, A., Mohammed, S.: Comprehensive analysis of factors influencing EU-countries household energy consumption (2000-2022): Trends and vulnerability to COVID-19 and the Russia-Ukraine war.
Energy Strateg. Rev. 59, 1-21, (cikkazonosító: 101728), 2025.
doi DEA
Folyóirat-mutatók:
Q1 Energy (miscellaneous) (2024)
2.
Vicente-Serrano, S. M., Mohammed, S., Potopová, V.: High temporal variability not trend dominates Mediterranean precipitation.
Nature. [accepted by publisher], 2025.
doi DEA
Folyóirat-mutatók:
D1 Multidisciplinary (2024)
3.
Mohammed, S.: Modeling Current and Future Run-off and Soil Erosion Dynamics in Eastern Mediterranean Ecosystems Using the WEPP Model.
Energy Nexus. 17, 1-13, (cikkazonosító: 100375), 2025.
doi DEA
Folyóirat-mutatók:
Q1 Energy (miscellaneous) (2024)
D1 Environmental Science (miscellaneous) (2024)
4.
Arshad, S., Kazmi, J. H., Harsányi, E., Nazli, F., Hassan, W., Shaikh, S., Al-Dalahmeh, M., Mohammed, S.: Predictive Modeling of soil salinity integrating remote sensing and soil variables: An ensembled deep learning approach.
Energy Nexus. 17, 1-22, (cikkazonosító: 100374), 2025.
doi DEA
Folyóirat-mutatók:
Q1 Energy (miscellaneous) (2024)
D1 Environmental Science (miscellaneous) (2024)
2024
5.
Fejér, P., Széles, A., Nagy, J., Ragán, P., Juhász, C., Mohammed, S., Rátonyi, T.: A kukorica keményítőtartalmának előrejelzése mesterséges neurális hálózatok (ANN) segítségével.
DEA
6.
Altouma, A., Bashir, B., Ata, B., Ocwa, A., Alsalman, A., Harsányi, E., Mohammed, S.: An environmental impact assessment of Saudi Arabia's vision 2030 for sustainable urban development: a policy perspective on greenhouse gas emissions.
Environ Sustain Indic. 21, 1-13, (cikkazonosító: 100323), 2024.
doi DEA WoS Scopus
Folyóirat-mutatók:
D1 Agricultural and Biological Sciences (miscellaneous)
D1 Ecology, Evolution, Behavior and Systematics
Q1 Environmental Science (miscellaneous)
Q1 Management, Monitoring, Policy and Law
7.
Harsányi, E., Mirzaei, M., Arshad, S., Alsilibe, F., Vad, A., Nagy, A. S., Rátonyi, T., Gorkom, G. V., Al-Dalahmeh, M., Mohammed, S.: Assessment of Advanced Machine and Deep Learning Approaches for Predicting CO2 Emissions from Agricultural Lands: Insights Across Diverse Agroclimatic Zones.
Earth Syst. Environ. [Epub ahead of print], 1-17, 2024.
doi DEA WoS Scopus
Folyóirat-mutatók:
D1 Computers in Earth Sciences
Q1 Economic Geology
Q1 Environmental Science (miscellaneous)
D1 Geology
Q1 Global and Planetary Change
8.
Mohammed, S., Gill, A. R., Ghosal, K., Al-Dalahmeh, M., Alsafadi, K., Szabó, S., Oláh, J., Alkerdi, A., Ocwa, A., Harsányi, E.: Assessment of the environmental kuznets curve within EU-27: Steps toward environmental sustainability (1990-2019).
Env. Sci. Ecotechnol. 18, 1-13, (cikkazonosító: 100312), 2024.
doi DEA WoS Scopus
Folyóirat-mutatók:
D1 Ecology
D1 Environmental Engineering
D1 Environmental Science (miscellaneous)
9.
Mohammed, S., Arshad, S., Bashir, B., Ata, B., Al-Dalahmeh, M., Alsalman, A., Ali, H., Alhennawi, S., Kiwan, S., Harsányi, E.: Evaluating machine learning performance in predicting sodium adsorption ratio for sustainable soil-water management in the eastern Mediterranean.
J. Environ. Manage. 370, 1-14, (cikkazonosító: 122640), 2024.
doi DEA WoS Scopus
Folyóirat-mutatók:
D1 Environmental Engineering
D1 Management, Monitoring, Policy and Law
D1 Medicine (miscellaneous)
D1 Waste Management and Disposal
10.
Letswamotse, T. V., Arshad, S., Bashir, B., Alsalman, A., Harsányi, E., Al-Dalahmeh, M., Mohammed, S.: Integrating Maize Yield and Agricultural Drought Analysis for Sustainable Food Security: A Provincial Study in South Africa (1993-2022).
Food and Energy Security. 13 (5), 1-20, (cikkazonosító: 70006), 2024.
doi DEA
Folyóirat-mutatók:
D1 Agronomy and Crop Science
Q1 Food Science
D1 Forestry
Q2 Renewable Energy, Sustainability and the Environment
11.
Mohammed, S., Arshad, S., Bashir, B., Vad, A., Alsalman, A., Harsányi, E.: Machine learning driven forecasts of agricultural water quality from rainfall ionic characteristics in Central Europe.
Agric. Water Manage. 293, 1-15, (cikkazonosító: 108690), 2024.
doi DEA WoS Scopus
Folyóirat-mutatók:
D1 Agronomy and Crop Science
D1 Earth-Surface Processes
D1 Soil Science
D1 Water Science and Technology
12.
Ocwa, A., Mohammed, S., Mousavi, S. M. N., Illés, Á., Bojtor, C., Ragán, P., Rátonyi, T., Harsányi, E.: Maize Grain Yield and Quality Improvement Through Biostimulant Application: a Systematic Review.
J Soil Sci Plant Nutr. 24, 1609-1649, 2024.
doi DEA WoS Scopus
Folyóirat-mutatók:
Q1 Agronomy and Crop Science
Q1 Plant Science
Q2 Soil Science
13.
Széles, A., Huzsvai, L., Mohammed, S., Nyéki, A., Zagyi, P., Horváth, É., Simon, K., Arshad, S., Tamás, A.: Precision agricultural technology for advanced monitoring of maize yield under different fertilization and irrigation regimes: a case study in Eastern Hungary (Debrecen).
J. Agric. Food Res. 15, 1-16, (cikkazonosító: 100967), 2024.
doi DEA WoS Scopus
Folyóirat-mutatók:
Q1 Agricultural and Biological Sciences (miscellaneous)
Q1 Agronomy and Crop Science
Q1 Food Science
14.
Faheem, Z., Kazmi, J. H., Shaikh, S., Arshad, S., Mohammed, S.: Random forest-based analysis of land cover/land use LCLU dynamics associated with meteorological droughts in the desert ecosystem of Pakistan.
Ecol. Indic. 159, 1-20, (cikkazonosító: 111670), 2024.
doi DEA WoS Scopus
Folyóirat-mutatók:
D1 Decision Sciences (miscellaneous)
D1 Ecology
D1 Ecology, Evolution, Behavior and Systematics
15.
Alsafadi, K., Bashir, B., Mohammed, S., Abdo, H. G., Mokhtar, A., Alsalman, A., Cao, W.: Response of Ecosystem Carbon-Water Fluxes to ExtremeDrought in West Asia.
Remote Sens. 16 (7), 1-27, (cikkazonosító: 1179), 2024.
doi DEA WoS Scopus
Folyóirat-mutatók:
Q1 Earth and Planetary Sciences (miscellaneous)
16.
Mohammed, S., Arshad, S., Alsilibe, F., Moazzam, M. F. U., Bashir, B., Prodhan, F. A., Alsalman, A., Vad, A., Rátonyi, T., Harsányi, E.: Utilizing machine learning and CMIP6 projections for short-term agricultural drought monitoring in central Europe (1900-2100).
J. Hydrol. 633, 1-21, (cikkazonosító: 130968), 2024.
doi DEA WoS Scopus
Folyóirat-mutatók:
D1 Water Science and Technology
2023
17.
Ocwa, A., Harsányi, E., Széles, A., Holb, I., Szabó, S., Rátonyi, T., Mohammed, S.: A bibliographic review of climate change and fertilization as the main drivers of maize yield: implications for food security.
Agric & Food Secur. 12 (1), 1-18, (cikkazonosító: 14), 2023.
doi DEA WoS Scopus
Folyóirat-mutatók:
Q1 Agronomy and Crop Science
Q1 Ecology
Q1 Food Science
18.
Arshad, S., Kazmi, J. H., Javed, M. G., Mohammed, S.: Applicability of machine learning techniques in predicting wheat yield based on remote sensing and climate data in Pakistan, South Asia.
Eur. J. Agron. 147, 1-19, (cikkazonosító: 126837), 2023.
doi DEA WoS Scopus
Folyóirat-mutatók:
D1 Agronomy and Crop Science
D1 Plant Science
Q1 Soil Science
19.
Mirzaei, M., Anari, M. G., Diaz, P. E., Saronjic, N., Mohammed, S., Szabó, S., Mousavi, S. M. N., Caballero-Calvo, A.: Assessment of soil CO2 and NO fluxes in a semi-arid region using machine learning approaches.
J. Arid. Environ. 211, 1-9, (cikkazonosító: 104947), 2023.
doi DEA WoS Scopus
Folyóirat-mutatók:
Q1 Earth-Surface Processes
Q1 Ecology
Q2 Ecology, Evolution, Behavior and Systematics
20.
Harsányi, E., Bashir, B., Arshad, S., Ocwa, A., Vad, A., Alsalman, A., Bácskai, I., Rátonyi, T., Hijazi, O., Széles, A., Mohammed, S.: Data Mining and Machine Learning Algorithms for Optimizing Maize Yield Forecasting in Central Europe.
Agronomy-Basel. 13 (5), 1-22, (cikkazonosító: 1297), 2023.
doi DEA WoS Scopus
Folyóirat-mutatók:
Q1 Agronomy and Crop Science
21.
Mirzaei, M., Anari, M. G., Saronjic, N., Sarkar, S., Kral, I., Gronauer, A., Mohammed, S., Caballero-Calvo, A.: Environmental impacts of corn silage production: influence of wheat residues under contrasting tillage management types.
Environ. Monit. Assess. 195 (1), 1-20, (cikkazonosító: 171), 2023.
doi DEA WoS Scopus
Folyóirat-mutatók:
Q2 Environmental Science (miscellaneous)
Q2 Management, Monitoring, Policy and Law
Q2 Medicine (miscellaneous)
Q2 Pollution
22.
Alsafadi, K., Bi, S., Mokhtar, A., Abdo, H. G., He, H., Mohammed, S.: Evaluation of an Evapotranspiration Deficit-Based Drought Index and Its Impacts on Carbon Productivity in the Levant and Iraq.
In: , CRC Press, Boca Raton(USA), , 2023. ISBN: 9781003276555(ebook)
doi DEA Scopus
23.
Arshad, S., Kazmi, J. H., Prodhan, F. A., Mohammed, S.: Exploring dynamic response of agrometeorological droughts towards winter wheat yield loss risk using machine learning approach at a regional scale in Pakistan.
Field Crop. Res. 302, 1-20, (cikkazonosító: 109057), 2023.
doi DEA WoS Scopus
Folyóirat-mutatók:
D1 Agronomy and Crop Science
D1 Soil Science
24.
Rodrigo-Comino, J., Muñoz-Gómez, C., Rahdari, M. R., Mohammed, S., Salvati, L.: Land degradation risks: key topics to be faced over the World = Riesgos de degradación del suelo: temas clave para afrontar en el Mundo.
CIG. 49 (2), 3-4, 2023.
doi DEA WoS Scopus
25.
Alsafadi, K., Bi, S., Abdo, H. G., Almohamad, H., Alatrach, B., Srivastava, A. K., Al-Mutiry, M., Bal, S. K., Chandran, M. A. S., Mohammed, S.: Modeling the impacts of projected climate change on wheat crop suitability in semi-arid regions using the AHP-based weighted climatic suitability index and CMIP6.
Geosci. Lett. 10 (20), 1-21, (cikkazonosító: 20), 2023.
doi DEA WoS Scopus
Folyóirat-mutatók:
Q1 Earth and Planetary Sciences (miscellaneous)
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