Hekmat Ibrahim

610 total citations · 2 hit papers
9 papers, 454 citations indexed

About

Hekmat Ibrahim is a scholar working on Geochemistry and Petrology, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Hekmat Ibrahim has authored 9 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Geochemistry and Petrology, 7 papers in Environmental Engineering and 7 papers in Water Science and Technology. Recurrent topics in Hekmat Ibrahim's work include Groundwater and Isotope Geochemistry (7 papers), Water Quality and Pollution Assessment (7 papers) and Groundwater and Watershed Analysis (6 papers). Hekmat Ibrahim is often cited by papers focused on Groundwater and Isotope Geochemistry (7 papers), Water Quality and Pollution Assessment (7 papers) and Groundwater and Watershed Analysis (6 papers). Hekmat Ibrahim collaborates with scholars based in Egypt, Hungary and Algeria. Hekmat Ibrahim's co-authors include Mohamed Gad, Salah Elsayed, Mohamed Hamdy Eid, Osama Elsherbiny, Aissam Gaagai, Hend Hussein, Péter Szűcs, Moataz M. Khalifa, Mosaad Khadr and Farahat S. Moghanm and has published in prestigious journals such as Water, Environmental Earth Sciences and Heliyon.

In The Last Decade

Hekmat Ibrahim

9 papers receiving 435 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.

Evaluation and Prediction of Groundwater Quality for Irrigation Using an Integrated Water Quality Indices, Machine Learning Models and GIS Approaches: A Representative Case Study

2023 107 citations Hekmat Ibrahim, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ et al. Water profile →
Application of Water Quality Indices, Machine Learning Approaches, and GIS to Identify Groundwater Quality for Irrigation Purposes: A Case Study of Sahara Aquifer, Doucen Plain, Algeria

2023 105 citations Aissam Gaagai, Hani Amir Aouissi et al. Water profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hekmat Ibrahim Egypt	7	284	268	212	71	45	9	454
Aissam Gaagai Algeria	12	221 0.8×	211 0.8×	191 0.9×	65 0.9×	38 0.8×	22	449
Wenwen Feng China	8	324 1.1×	303 1.1×	394 1.9×	39 0.5×	28 0.6×	15	602
Nura Umar Kura Malaysia	11	203 0.7×	245 0.9×	231 1.1×	36 0.5×	26 0.6×	16	454
Janete Morán‐Ramírez Mexico	11	138 0.5×	161 0.6×	229 1.1×	45 0.6×	25 0.6×	43	374
Obialo S. Onwuka Nigeria	13	216 0.8×	211 0.8×	204 1.0×	58 0.8×	30 0.7×	25	437
Soumya S. Singha India	9	287 1.0×	347 1.3×	156 0.7×	65 0.9×	34 0.8×	13	495
Md Moniruzzaman Bangladesh	10	304 1.1×	193 0.7×	95 0.4×	37 0.5×	62 1.4×	19	441
Paras R. Pujari India	12	171 0.6×	189 0.7×	226 1.1×	34 0.5×	47 1.0×	35	443
Anjali Nayak India	8	267 0.9×	146 0.5×	132 0.6×	31 0.4×	49 1.1×	13	335

Countries citing papers authored by Hekmat Ibrahim

Since Specialization

Citations

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

Fields of papers citing papers by Hekmat Ibrahim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hekmat Ibrahim

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

All Works

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9 of 9 papers shown

Gad, Mohamed, Aissam Gaagai, Mohamed Hamdy Eid, et al.. (2024). Comprehensive evaluation and prediction of groundwater quality and risk indices using quantitative approaches, multivariate analysis, and machine learning models: An exploratory study. Heliyon. 10(17). e36606–e36606. 33 indexed citations

Ibrahim, Hekmat, et al.. (2024). Double Assessment of Dam Sites for Sustainable Hydrological Management Using GIS-Fuzzy Logic and ANFIS: Halabja Water Supply Project Case Study. Iranian Journal of Science and Technology Transactions of Civil Engineering. 49(3). 2965–2983. 2 indexed citations

Ibrahim, Hekmat, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Miklas Scholz, et al.. (2023). Evaluation and Prediction of Groundwater Quality for Irrigation Using an Integrated Water Quality Indices, Machine Learning Models and GIS Approaches: A Representative Case Study. Water. 15(4). 694–694. 107 indexed citations breakdown →

Gaagai, Aissam, Hani Amir Aouissi, Gilbert Hinge, et al.. (2023). Application of Water Quality Indices, Machine Learning Approaches, and GIS to Identify Groundwater Quality for Irrigation Purposes: A Case Study of Sahara Aquifer, Doucen Plain, Algeria. Water. 15(2). 289–289. 105 indexed citations breakdown →

Gaagai, Aissam, Amor Ben Moussa, Kamel Zouari, et al.. (2023). Applying Multivariate Analysis and Machine Learning Approaches to Evaluating Groundwater Quality on the Kairouan Plain, Tunisia. Water. 15(19). 3495–3495. 54 indexed citations

Gad, Mohamed, Aissam Gaagai, Mohamed Hamdy Eid, et al.. (2023). Groundwater Quality and Health Risk Assessment Using Indexing Approaches, Multivariate Statistical Analysis, Artificial Neural Networks, and GIS Techniques in El Kharga Oasis, Egypt. Water. 15(6). 1216–1216. 68 indexed citations

Kamh, Samir, et al.. (2021). Assessment of the Hydrogeochemical Characteristics of Groundwater Resources at some Wadis in the East of El Minia Governorate, Eastern Desert, Egypt. Acta Geologica Sinica - English Edition. 96(3). 1082–1097. 5 indexed citations

Elsayed, Salah, Hekmat Ibrahim, Hend Hussein, et al.. (2021). Assessment of Water Quality in Lake Qaroun Using Ground-Based Remote Sensing Data and Artificial Neural Networks. Water. 13(21). 3094–3094. 56 indexed citations

Gad, Mohamed, et al.. (2018). Applying of a geochemical model on the Nubian sandstone aquifer in Siwa Oasis, Western Desert, Egypt. Environmental Earth Sciences. 77(11). 24 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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