Ismail Elkhrachy

1.5k total citations
44 papers, 1.1k citations indexed

About

Ismail Elkhrachy is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Ismail Elkhrachy has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Global and Planetary Change, 24 papers in Environmental Engineering and 18 papers in Water Science and Technology. Recurrent topics in Ismail Elkhrachy's work include Flood Risk Assessment and Management (18 papers), Hydrology and Watershed Management Studies (16 papers) and Hydrology and Drought Analysis (9 papers). Ismail Elkhrachy is often cited by papers focused on Flood Risk Assessment and Management (18 papers), Hydrology and Watershed Management Studies (16 papers) and Hydrology and Drought Analysis (9 papers). Ismail Elkhrachy collaborates with scholars based in Saudi Arabia, Egypt and India. Ismail Elkhrachy's co-authors include Quoc Bao Pham, Romulus Costache, Alireza Arabameri, Omid Ghorbanzadeh, Nguyễn Thị Thùy Linh, Duong Tran Anh, Saleh H. Alyami, Mohammadtaghi Avand, Chaitanya B. Pande and Daniel Constantin Diaconu and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Sustainability.

In The Last Decade

Ismail Elkhrachy

43 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ismail Elkhrachy Saudi Arabia 18 590 440 374 126 119 44 1.1k
Ciro Apollonio Italy 16 402 0.7× 202 0.5× 292 0.8× 85 0.7× 44 0.4× 40 816
Chuluong Choi South Korea 11 619 1.0× 253 0.6× 256 0.7× 203 1.6× 63 0.5× 61 1.2k
João P. Leitão Switzerland 25 1.2k 2.0× 839 1.9× 660 1.8× 346 2.7× 52 0.4× 84 1.8k
T. A. Russo United States 15 325 0.6× 566 1.3× 564 1.5× 68 0.5× 26 0.2× 22 1.3k
Manchun Li China 21 768 1.3× 579 1.3× 117 0.3× 235 1.9× 282 2.4× 42 1.5k
Tarig Ali United Arab Emirates 15 222 0.4× 200 0.5× 152 0.4× 58 0.5× 46 0.4× 105 841
Marc Wieland Germany 22 825 1.4× 368 0.8× 197 0.5× 430 3.4× 33 0.3× 52 1.6k
Song Shu United States 17 441 0.7× 390 0.9× 152 0.4× 135 1.1× 123 1.0× 45 968
Gustavious P. Williams United States 19 337 0.6× 310 0.7× 480 1.3× 149 1.2× 47 0.4× 124 1.1k
Kor de Jong Netherlands 13 637 1.1× 191 0.4× 467 1.2× 184 1.5× 15 0.1× 33 1.2k

Countries citing papers authored by Ismail Elkhrachy

Since Specialization
Citations

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

Fields of papers citing papers by Ismail Elkhrachy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ismail Elkhrachy. 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 Ismail Elkhrachy. The network helps show where Ismail Elkhrachy may publish in the future.

Co-authorship network of co-authors of Ismail Elkhrachy

This figure shows the co-authorship network connecting the top 25 collaborators of Ismail Elkhrachy. A scholar is included among the top collaborators of Ismail Elkhrachy 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 Ismail Elkhrachy. Ismail Elkhrachy 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.
Halder, Bijay, Jatisankar Bandyopadhyay, Chaitanya B. Pande, et al.. (2024). Delineating the climate change impacts on urban environment along with heat stress in the Indian tropical city. Physics and Chemistry of the Earth Parts A/B/C. 136. 103745–103745.
2.
Sidek, Lariyah Mohd, Abhay M. Varade, Ismail Elkhrachy, et al.. (2024). Forecasting of meteorological drought using ensemble and machine learning models. Environmental Sciences Europe. 36(1). 10 indexed citations
3.
Mondal, Ismail, et al.. (2024). Analyzing spatio-temporal variability of aquatic productive components in Northern Bay of Bengal using advanced machine learning models. Ocean & Coastal Management. 251. 107074–107074. 20 indexed citations
4.
5.
Anaraki, Mahdi Valikhan, Mohammed Achite, Saeed Farzin, et al.. (2023). Modeling of Monthly Rainfall–Runoff Using Various Machine Learning Techniques in Wadi Ouahrane Basin, Algeria. Water. 15(20). 3576–3576. 21 indexed citations
6.
Mohajane, Meriame, et al.. (2023). Gully erosion mapping susceptibility in a Mediterranean environment: A hybrid decision-making model. International Soil and Water Conservation Research. 12(2). 279–297. 16 indexed citations
7.
8.
Elkhrachy, Ismail, Vandana Singh, Ankit Kumar, et al.. (2023). Use of biogenic silver nanoparticles on the cathode to improve bioelectricity production in microbial fuel cells. Frontiers in Chemistry. 11. 1273161–1273161. 4 indexed citations
9.
Pande, Chaitanya B., et al.. (2023). Sustainable Water Management for Small Farmers with Center-Pivot Irrigation: A Hydraulic and Structural Design Perspective. Sustainability. 15(23). 16390–16390. 8 indexed citations
10.
11.
Aldlemy, Mohammed Suleman, Chaitanya B. Pande, Bojan Đurin, et al.. (2023). Quantifying the Impacts of Climate and Land Cover Changes on the Hydrological Regime of a Complex Dam Catchment Area. Sustainability. 15(21). 15223–15223. 17 indexed citations
12.
Sepehri, Mehdi, Afshin Ghahramani, Ali Talebi, et al.. (2023). Ranking Sub-Watersheds for Flood Hazard Mapping: A Multi-Criteria Decision-Making Approach. Water. 15(11). 2128–2128. 11 indexed citations
13.
Pande, Chaitanya B., et al.. (2023). Assessment of Hydrological Response to Climatic Variables over the Hindu Kush Mountains, South Asia. Water. 15(20). 3606–3606. 2 indexed citations
14.
Alyami, Saleh H., et al.. (2022). Water Resources Depletion and Its Consequences on Agricultural Activities in Najran Valley. Resources. 11(12). 122–122. 5 indexed citations
15.
Ditthakit, Pakorn, et al.. (2022). Estimating FAO Blaney-Criddle b-Factor Using Soft Computing Models. Atmosphere. 13(10). 1536–1536. 10 indexed citations
16.
Elkhrachy, Ismail. (2022). Flash Flood Water Depth Estimation Using SAR Images, Digital Elevation Models, and Machine Learning Algorithms. Remote Sensing. 14(3). 440–440. 44 indexed citations
17.
Elkhrachy, Ismail, Quoc Bao Pham, Romulus Costache, et al.. (2021). Sentinel‐1 remote sensing data and Hydrologic Engineering Centres River Analysis System two‐dimensional integration for flash flood detection and modelling in New Cairo City, Egypt. Journal of Flood Risk Management. 14(2). 26 indexed citations
18.
Costache, Romulus, Alireza Arabameri, Ismail Elkhrachy, Omid Ghorbanzadeh, & Quoc Bao Pham. (2021). Detection of areas prone to flood risk using state-of-the-art machine learning models. Geomatics Natural Hazards and Risk. 12(1). 1488–1507. 53 indexed citations
19.
Costache, Romulus, Ismail Elkhrachy, Quoc Bao Pham, et al.. (2020). New neural fuzzy-based machine learning ensemble for enhancing the prediction accuracy of flood susceptibility mapping. Hydrological Sciences Journal. 65(16). 2816–2837. 61 indexed citations
20.
Elkhrachy, Ismail. (2015). Land Use Change Detection Using Satellite Images for Najran City, Kingdom of Saudi Arabia (KSA). World Academy of Science, Engineering and Technology, International Journal of Civil, Environmental, Structural, Construction and Architectural Engineering. 2(2). 2 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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