Saad Sh. Sammen

2.9k total citations · 1 hit paper
109 papers, 2.1k citations indexed

About

Saad Sh. Sammen is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Saad Sh. Sammen has authored 109 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Global and Planetary Change, 45 papers in Water Science and Technology and 41 papers in Environmental Engineering. Recurrent topics in Saad Sh. Sammen's work include Hydrological Forecasting Using AI (30 papers), Hydrology and Drought Analysis (24 papers) and Climate variability and models (20 papers). Saad Sh. Sammen is often cited by papers focused on Hydrological Forecasting Using AI (30 papers), Hydrology and Drought Analysis (24 papers) and Climate variability and models (20 papers). Saad Sh. Sammen collaborates with scholars based in Iraq, Saudi Arabia and Malaysia. Saad Sh. Sammen's co-authors include Nadhir Al‐Ansari, Sani I. Abba, Anurag Malik, Yazid Tikhamarine, Ahmed El‐Shafie, Shamsuddin Shahid, Özgür Kişi, Mohammad Ehteram, Rabiu Aliyu Abdulkadir and Lariyah Mohd Sidek and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Saad Sh. Sammen

101 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Isotherms, kinetics and thermodynamic mechanism of methylene blue dye adsorption on synthesized activated carbon

2024 65 citations Atef El Jery, Saad Sh. Sammen et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Saad Sh. Sammen Iraq	26	888	808	694	240	238	109	2.1k
Saeed Samadianfard Iran	24	951 1.1×	670 0.8×	630 0.9×	290 1.2×	268 1.1×	54	1.9k
Othman Jaafar Malaysia	26	1.2k 1.4×	1.2k 1.5×	617 0.9×	243 1.0×	247 1.0×	82	2.3k
Chai Hoon Koo Malaysia	29	728 0.8×	1.0k 1.3×	809 1.2×	196 0.8×	184 0.8×	87	2.5k
Sujay Raghavendra Naganna India	20	864 1.0×	583 0.7×	470 0.7×	168 0.7×	353 1.5×	57	1.8k
Wan Hanna Melini Wan Mohtar Malaysia	24	1.1k 1.2×	1.1k 1.3×	496 0.7×	190 0.8×	355 1.5×	130	2.4k
Paresh Chandra Deka India	25	1.0k 1.2×	692 0.9×	628 0.9×	242 1.0×	216 0.9×	44	2.0k
Hadi Sanikhani Iran	23	925 1.0×	496 0.6×	630 0.9×	276 1.1×	216 0.9×	41	1.5k
Taher Rajaee Iran	25	1.5k 1.7×	1.3k 1.6×	502 0.7×	253 1.1×	180 0.8×	52	2.2k
Alireza Moghaddam Nia Iran	24	1.4k 1.6×	1.1k 1.4×	1.0k 1.5×	282 1.2×	146 0.6×	52	2.3k
Sai Hin Lai Malaysia	29	615 0.7×	1.2k 1.5×	566 0.8×	170 0.7×	586 2.5×	145	2.9k

Countries citing papers authored by Saad Sh. Sammen

Since Specialization

Citations

This map shows the geographic impact of Saad Sh. Sammen'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 Saad Sh. Sammen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saad Sh. Sammen more than expected).

Fields of papers citing papers by Saad Sh. Sammen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saad Sh. Sammen. 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 Saad Sh. Sammen. The network helps show where Saad Sh. Sammen may publish in the future.

Co-authorship network of co-authors of Saad Sh. Sammen

This figure shows the co-authorship network connecting the top 25 collaborators of Saad Sh. Sammen. A scholar is included among the top collaborators of Saad Sh. Sammen 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 Saad Sh. Sammen. Saad Sh. Sammen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Emiroğlu, M. Emin, et al.. (2025). A novel early‐warning standardized indicator for drought preparedness and management under multiple climate model projections. Meteorological Applications. 32(1). 1 indexed citations

Ahmed, Kaywan Othman, et al.. (2025). Identify suitable artificial groundwater recharge zones using hybrid deep learning models. Results in Engineering. 27. 106794–106794.

Sammen, Saad Sh., et al.. (2025). Improving Bridge Safety: A Spider Monkey Optimization-based ANN Model for Scour Depth Prediction. Water Resources Management. 39(11). 5695–5717.

Amari, Abdelfattah, Mohamed Boujelbene, Noureddine Elboughdiri, et al.. (2024). Innovative Solutions for Water Treatment: Unveiling the Potential of Polyoxazoline Polymer Activated Carbon Composite for Efficient Elimination of Lead Ions. Water. 16(3). 466–466. 3 indexed citations

Sidek, Lariyah Mohd, et al.. (2024). Machine learning techniques for flood forecasting. Journal of Hydroinformatics. 26(4). 779–799. 8 indexed citations

Al-Suwaiyan, Mohammad, Ali Aldrees, Jamilu Usman, et al.. (2024). Machine learning predictive insight of water pollution and groundwater quality in the Eastern Province of Saudi Arabia. Scientific Reports. 14(1). 20031–20031. 25 indexed citations

Naganna, Sujay Raghavendra, et al.. (2024). Strength assessment of structural masonry walls: analysis based on machine learning approaches. HBRC Journal. 20(1). 505–524. 5 indexed citations

Shah, Syed Muzzamil Hussain, Sani I. Abba, Mohamed A. Yassin, et al.. (2024). New strategy based on Hammerstein–Wiener and supervised machine learning for identification of treated wastewater salinization in Al-Hassa region, Saudi Arabia. Environmental Sciences Europe. 36(1). 4 indexed citations

Yassin, Mohamed A., Sani I. Abba, Syed Muzzamil Hussain Shah, et al.. (2024). Toward Decontamination in Coastal Regions: Groundwater Quality, Fluoride, Nitrate, and Human Health Risk Assessments within Multi-Aquifer Al-Hassa, Saudi Arabia. Water. 16(10). 1401–1401. 55 indexed citations

10.

Yassin, Mohamed A., Sani I. Abba, Mohammad Makkawi, et al.. (2024). Advancing SDGs: Predicting Future Shifts in Saudi Arabia’s Terrestrial Water Storage Using Multi-Step-Ahead Machine Learning Based on GRACE Data. Water. 16(2). 246–246. 5 indexed citations

11.

Ali, Zulfiqar, et al.. (2024). A New Hybrid Weighted Regional Drought Index to Improve Regional Drought Assessment. Water Resources Management. 38(14). 5541–5558. 1 indexed citations

12.

Jery, Atef El, Saad Sh. Sammen, Amimul Ahsan, et al.. (2024). Isotherms, kinetics and thermodynamic mechanism of methylene blue dye adsorption on synthesized activated carbon. Scientific Reports. 14(1). 970–970. 65 indexed citations breakdown →

13.

Çavuşoğlu, Behiye, et al.. (2024). Food, energy, and water security sustainability; an asymmetric approach for achieving sustainable development goals. SHILAP Revista de lepidopterología. 5(1).

14.

Jery, Atef El, et al.. (2023). An Efficient Investigation and Machine Learning-Based Prediction of Decolorization of Wastewater by Using Zeolite Catalyst in Electro-Fenton Reaction. Catalysts. 13(7). 1085–1085. 10 indexed citations

15.

Pande, Chaitanya B., et al.. (2023). The Effect of the El Nino Southern Oscillation on Precipitation Extremes in the Hindu Kush Mountains Range. Water. 15(24). 4311–4311. 3 indexed citations

16.

Sammen, Saad Sh., Özgür Kişi, Mohammad Ehteram, et al.. (2023). Rainfall modeling using two different neural networks improved by metaheuristic algorithms. Environmental Sciences Europe. 35(1). 9 indexed citations

17.

Al‐Shabeeb, Abdel Rahman, et al.. (2023). A Comparative Study of Genetic Algorithm-Based Ensemble Models and Knowledge-Based Models for Wildfire Susceptibility Mapping. Sustainability. 15(21). 15598–15598. 5 indexed citations

18.

Sammen, Saad Sh., Mohammad Ehteram, Zohreh Sheikh Khozani, & Lariyah Mohd Sidek. (2023). Binary Coati Optimization Algorithm- Multi- Kernel Least Square Support Vector Machine-Extreme Learning Machine Model (BCOA-MKLSSVM-ELM): A New Hybrid Machine Learning Model for Predicting Reservoir Water Level. Water. 15(8). 1593–1593. 13 indexed citations

19.

Mohammed, Abbas, et al.. (2020). Analytical Study on Effect of Bar Size on Pull-out force for Reinforcing Bar Embedded in Concrete Blocks. IOP Conference Series Materials Science and Engineering. 928(2). 22085–22085. 3 indexed citations

20.

Sammen, Saad Sh., Mohammad Ali Ghorbani, Anurag Malik, et al.. (2020). Enhanced Artificial Neural Network with Harris Hawks Optimization for Predicting Scour Depth Downstream of Ski-Jump Spillway. Applied Sciences. 10(15). 5160–5160. 68 indexed citations

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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