Safwan Mohammed

2.3k total citations
76 papers, 1.5k citations indexed

About

Safwan Mohammed is a scholar working on Global and Planetary Change, Soil Science and Environmental Engineering. According to data from OpenAlex, Safwan Mohammed has authored 76 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Global and Planetary Change, 26 papers in Soil Science and 19 papers in Environmental Engineering. Recurrent topics in Safwan Mohammed's work include Hydrology and Drought Analysis (20 papers), Climate variability and models (18 papers) and Soil erosion and sediment transport (14 papers). Safwan Mohammed is often cited by papers focused on Hydrology and Drought Analysis (20 papers), Climate variability and models (18 papers) and Soil erosion and sediment transport (14 papers). Safwan Mohammed collaborates with scholars based in Hungary, Egypt and China. Safwan Mohammed's co-authors include Karam Alsafadi, Endre Harsányi, Ahmed Elbeltagi, Bashar Bashir, Abdullah Alsalman, Szilárd Szabó, Sana Arshad, M. A. Sharaf, Hazem Ghassan Abdo and Ali Mokhtar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Safwan Mohammed

75 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Safwan Mohammed Hungary 24 653 472 412 313 246 76 1.5k
Karam Alsafadi China 22 699 1.1× 326 0.7× 340 0.8× 301 1.0× 173 0.7× 49 1.3k
Dung Duc Tran Vietnam 24 761 1.2× 250 0.5× 210 0.5× 506 1.6× 312 1.3× 70 1.7k
Karuturi Venkata Suryabhagavan Ethiopia 21 585 0.9× 340 0.7× 420 1.0× 225 0.7× 206 0.8× 48 1.3k
Cristian Valeriu Patriche Romania 21 639 1.0× 368 0.8× 197 0.5× 143 0.5× 369 1.5× 65 1.6k
Haimanote K. Bayabil United States 23 468 0.7× 552 1.2× 290 0.7× 633 2.0× 210 0.9× 95 1.4k
Xiangbin Kong China 17 511 0.8× 452 1.0× 182 0.4× 169 0.5× 225 0.9× 81 1.2k
Georgeta Bandoc Romania 19 597 0.9× 314 0.7× 179 0.4× 145 0.5× 331 1.3× 32 1.5k
Danfeng Sun China 20 467 0.7× 222 0.5× 227 0.6× 233 0.7× 395 1.6× 59 1.5k
Mulatu Liyew Berihun Ethiopia 21 623 1.0× 679 1.4× 219 0.5× 441 1.4× 290 1.2× 46 1.3k
Elsayed Said Mohamed Egypt 26 323 0.5× 335 0.7× 562 1.4× 169 0.5× 218 0.9× 68 1.5k

Countries citing papers authored by Safwan Mohammed

Since Specialization
Citations

This map shows the geographic impact of Safwan Mohammed's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Safwan Mohammed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Safwan Mohammed more than expected).

Fields of papers citing papers by Safwan Mohammed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Safwan Mohammed. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Safwan Mohammed. The network helps show where Safwan Mohammed may publish in the future.

Co-authorship network of co-authors of Safwan Mohammed

This figure shows the co-authorship network connecting the top 25 collaborators of Safwan Mohammed. A scholar is included among the top collaborators of Safwan Mohammed based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Safwan Mohammed. Safwan Mohammed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mohammed, Safwan, et al.. (2025). Advanced attention-driven deep learning architectures for multi-depth soil temperature prediction. Results in Engineering. 27. 106508–106508. 1 indexed citations
2.
Mohammed, Safwan. (2025). Modeling current and future run-off and soil erosion dynamics in Eastern Mediterranean ecosystems using the WEPP model. Energy Nexus. 17. 100375–100375. 1 indexed citations
3.
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5.
Arshad, Sana, et al.. (2025). Predictive Modeling of soil salinity integrating remote sensing and soil variables: An ensembled deep learning approach. Energy Nexus. 17. 100374–100374. 5 indexed citations
6.
Mohammed, Safwan, et al.. (2024). Evaluating machine learning performance in predicting sodium adsorption ratio for sustainable soil-water management in the eastern Mediterranean. Journal of Environmental Management. 370. 122640–122640. 7 indexed citations
7.
Mohammed, Safwan, Glory O. Enaruvbe, Bashar Bashir, et al.. (2023). Performance evaluation of machine learning algorithms to assess soil erosion in Mediterranean farmland: A case‐study in Syria. Land Degradation and Development. 34(10). 2896–2911. 11 indexed citations
8.
Harsányi, Endre, et al.. (2023). A bibliographic review of climate change and fertilization as the main drivers of maize yield: implications for food security. Agriculture & Food Security. 12(1). 22 indexed citations
9.
Díaz‐Pinés, Eugenio, et al.. (2023). Assessment of soil CO2 and NO fluxes in a semi-arid region using machine learning approaches. Journal of Arid Environments. 211. 104947–104947. 9 indexed citations
10.
Alsafadi, Karam, Shuoben Bi, Hazem Ghassan Abdo, et al.. (2023). 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. Geoscience Letters. 10(1). 34 indexed citations
11.
Arshad, Sana, Syed Jamil Hasan Kazmi, Foyez Ahmed Prodhan, & Safwan Mohammed. (2023). Exploring dynamic response of agrometeorological droughts towards winter wheat yield loss risk using machine learning approach at a regional scale in Pakistan. Field Crops Research. 302. 109057–109057. 26 indexed citations
12.
Bashir, Bashar, et al.. (2023). An environmental impact assessment of Saudi Arabia's vision 2030 for sustainable urban development: A policy perspective on greenhouse gas emissions. Environmental and Sustainability Indicators. 21. 100323–100323. 14 indexed citations
13.
Elbeltagi, Ahmed, Attila Nagy, Safwan Mohammed, et al.. (2022). Combination of Limited Meteorological Data for Predicting Reference Crop Evapotranspiration Using Artificial Neural Network Method. Agronomy. 12(2). 516–516. 52 indexed citations
14.
Alsafadi, Karam, Shuoben Bi, Bashar Bashir, et al.. (2022). Assessment of Carbon Productivity Trends and Their Resilience to Drought Disturbances in the Middle East Based on Multi-Decadal Space-Based Datasets. Remote Sensing. 14(24). 6237–6237. 9 indexed citations
15.
Szabó, Szilárd, et al.. (2021). Influence of Soil Moisture and Crust Formation on Soil Evaporation Rate: A Wind Tunnel Experiment in Hungary. Agronomy. 11(5). 935–935. 11 indexed citations
16.
Elbeltagi, Ahmed, Nasrin Azad, Arfan Arshad, et al.. (2021). Applications of Gaussian process regression for predicting blue water footprint: Case study in Ad Daqahliyah, Egypt. Agricultural Water Management. 255. 107052–107052. 45 indexed citations
17.
Alsafadi, Karam, Nadhir Al‐Ansari, Ali Mokhtar, et al.. (2021). An evapotranspiration deficit-based drought index to detect variability of terrestrial carbon productivity in the Middle East. Environmental Research Letters. 17(1). 14051–14051. 28 indexed citations
18.
Harsányi, Endre, Bashar Bashir, Omar Hijazi, et al.. (2021). GHGs Emission from the Agricultural Sector within EU-28: A Multivariate Analysis Approach. Energies. 14(20). 6495–6495. 14 indexed citations
19.
Mohammed, Safwan, et al.. (2019). Syrian crisis repercussions on the agricultural sector: Case study of wheat, cotton and olives. Regional Science Policy & Practice. 12(3). 519–537. 20 indexed citations
20.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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