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Mohammed Safwan

Mohammed Safwan

Teljes publikációs lista

Tudóstér társszerzők statisztika szűrhető publikációs lista
Feltöltött közlemény:
99
DEA-ban:
99
OA:
56
Publikációs időszak:
2018-2026
2026
1.
Nyéki, A., Tarek, A., Arshad, S., Gombkötő, N., Neményi, M., Mirzaei, M., Szabó, S., Harsányi, E., Al-Dalahmeh, M., Mohammed, S.: Real-time monitoring of ammonia emissions from cereal crops using LoRaWAN-based sensing technology.
Sci Rep. 16 (1), 1-28, (cikkazonosító: 1446), 2026.
doi DEA
Folyóirat-mutatók:
Q1 Multidisciplinary (2025)
2025
2.
Mohammed, S., Arshad, S., Ocwa, A., Al-Dalahmeh, M., Aldabbas, A. K. A. E., Alzoubi, M. M., Vad, A., Harsányi, E.: Advanced attention-driven deep learning architectures for multi-depth soil temperature prediction.
Results in Engineering. 27, 1-17, (cikkazonosító: 106508), 2025.
doi DEA WoS Scopus
Folyóirat-mutatók:
D1 Engineering (miscellaneous)
3.
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:
D1 Energy (miscellaneous)
4.
Mohammed, S., Raihan, A., Arshad, S., Ata, B., Ocwa, A., Al-Dalahmeh, M., Harsányi, E.: European Union agro-climate policies toward sustainability: analyzing emission trends and land use dynamics (1990-2021).
Resources, Environment and Sustainability. 21, 1-21, (cikkazonosító: 100239), 2025.
doi DEA Scopus
Folyóirat-mutatók:
D1 Environmental Engineering
D1 Environmental Science (miscellaneous)
D1 Management, Monitoring, Policy and Law
D1 Pollution
5.
Vicente-Serrano, S. M., Mohammed, S., Potopová, V.: High temporal variability not trend dominates Mediterranean precipitation.
Nature. 639 (8055), 658-666, 2025.
doi DEA WoS Scopus
Folyóirat-mutatók:
D1 Multidisciplinary
6.
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)
D1 Environmental Science (miscellaneous)
7.
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)
D1 Environmental Science (miscellaneous)
2024
8.
Fejér, P., Széles, A., Nagy, J., Ragán, P., Juhász, C., Mohammed, S., Rátonyi, T.: A kukorica keményítőtartalmának előrejelzése mesterséges neurális hálózatok (ANN) segítségével.
DEA
9.
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
10.
Harsányi, E., Mirzaei, M., Arshad, S., Alsilibe, F., Vad, A., Nagy, A. S., Rátonyi, T., Anari, M. G., 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. 8 (4), 1109-1125, 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
11.
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)
12.
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
13.
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 WoS Scopus
Folyóirat-mutatók:
D1 Agronomy and Crop Science
Q1 Food Science
D1 Forestry
Q2 Renewable Energy, Sustainability and the Environment
14.
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
15.
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
16.
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
17.
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
18.
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)
19.
Alsafadi, K., Bi, S., Abdo, H. G., Al Sayah, M. J., Rátonyi, T., Harsányi, E., Mohammed, S.: Spatial-temporal dynamic impact of changes in rainfall erosivity and vegetation coverage on soil erosion in the Eastern Mediterranean.
Environ. Sci. Pollut. Res. 31, 2024.
doi DEA WoS Scopus
Folyóirat-mutatók:
Q2 Environmental Chemistry
Q2 Health, Toxicology and Mutagenesis
Q1 Medicine (miscellaneous)
Q1 Pollution
20.
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
21.
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
22.
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
23.
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
24.
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
25.
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
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