Ammar El‐Husseiny

1.4k total citations · 1 hit paper
78 papers, 948 citations indexed

About

Ammar El‐Husseiny is a scholar working on Mechanics of Materials, Geophysics and Mechanical Engineering. According to data from OpenAlex, Ammar El‐Husseiny has authored 78 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Mechanics of Materials, 37 papers in Geophysics and 31 papers in Mechanical Engineering. Recurrent topics in Ammar El‐Husseiny's work include Hydrocarbon exploration and reservoir analysis (46 papers), Hydraulic Fracturing and Reservoir Analysis (31 papers) and Seismic Imaging and Inversion Techniques (29 papers). Ammar El‐Husseiny is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (46 papers), Hydraulic Fracturing and Reservoir Analysis (31 papers) and Seismic Imaging and Inversion Techniques (29 papers). Ammar El‐Husseiny collaborates with scholars based in Saudi Arabia, United States and Australia. Ammar El‐Husseiny's co-authors include Mohamed Mahmoud, Mahmoud Elsayed, Isah Mohammed, Tiziana Vanorio, Dhafer Al Shehri, Olalekan S. Alade, Abubakar Isah, Abdulrauf R. Adebayo, Murtada Saleh Aljawad and Amjed Hassan and has published in prestigious journals such as Water Resources Research, IEEE Transactions on Geoscience and Remote Sensing and Industrial & Engineering Chemistry Research.

In The Last Decade

Ammar El‐Husseiny

66 papers receiving 928 citations

Hit Papers

A review on the applicati... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ammar El‐Husseiny Saudi Arabia 17 566 458 330 245 237 78 948
Longde SUN China 16 816 1.4× 504 1.1× 507 1.5× 99 0.4× 146 0.6× 33 1.1k
Jop Klaver Germany 13 1.2k 2.1× 708 1.5× 460 1.4× 189 0.8× 101 0.4× 40 1.5k
Zoya Heidari United States 18 797 1.4× 574 1.3× 512 1.6× 413 1.7× 418 1.8× 200 1.3k
Hongjun Wang China 16 1.1k 1.9× 598 1.3× 543 1.6× 69 0.3× 196 0.8× 59 1.5k
Ziyuan Wang China 6 718 1.3× 444 1.0× 391 1.2× 213 0.9× 63 0.3× 11 823
Piroska Lorinczi United Kingdom 20 710 1.3× 515 1.1× 465 1.4× 109 0.4× 272 1.1× 53 1.1k
Mengdi Sun China 23 1.1k 2.0× 675 1.5× 477 1.4× 192 0.8× 190 0.8× 88 1.7k
Hongyan Yu China 18 791 1.4× 540 1.2× 414 1.3× 140 0.6× 124 0.5× 58 1.0k

Countries citing papers authored by Ammar El‐Husseiny

Since Specialization
Citations

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

Fields of papers citing papers by Ammar El‐Husseiny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ammar El‐Husseiny. 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 Ammar El‐Husseiny. The network helps show where Ammar El‐Husseiny may publish in the future.

Co-authorship network of co-authors of Ammar El‐Husseiny

This figure shows the co-authorship network connecting the top 25 collaborators of Ammar El‐Husseiny. A scholar is included among the top collaborators of Ammar El‐Husseiny 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 Ammar El‐Husseiny. Ammar El‐Husseiny 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
2.
Waheed, Umair bin, Ardiansyah Koeshidayatullah, Ammar El‐Husseiny, et al.. (2024). Leveraging automated deep learning (AutoDL) in geosciences. Computers & Geosciences. 188. 105600–105600. 9 indexed citations
3.
Hanafy, Sherif M., Hassan A. Eltom, Ammar El‐Husseiny, et al.. (2024). Characterizing the Attributes of Large Burrows in the Upper Cretaceous Aruma Formation: Insights From Ground Penetrating Radar. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 1 indexed citations
4.
Ahmed, Bashir, Amjed Hassan, Hussein Attia, et al.. (2024). A Novel Approach to Foam Characterization Using Multi-Frequency Dielectric Technique for Enhanced Oil Recovery. SPE Western Regional Meeting.
6.
Hassan, Amjed, Mahmoud Elsayed, Ammar El‐Husseiny, et al.. (2024). Evaluating the impact of artificial maturation on the petrophysical and geochemical properties of unconventional shale formations by integrating dielectric and NMR measurements. International Journal of Coal Geology. 285. 104492–104492. 4 indexed citations
7.
Refaat, Ahmed, Hassan A. Eltom, Ammar El‐Husseiny, & John Humphrey. (2024). Modeling porosity and permeability evolution of burrow fillings with packstone fabric in the Upper Jurassic Hanifa Formation, central Saudi Arabia: A digenetic backstripping study. Marine and Petroleum Geology. 170. 107075–107075. 1 indexed citations
9.
Waheed, Umair bin, et al.. (2023). Automated Deep Learning (AutoDL) for Facies Prediction: Implementation and Strategy. 1–5. 1 indexed citations
10.
Eltom, Hassan A., et al.. (2023). Spatial complexity of burrow attributes and their impact on porosity and permeability distributions in bioturbated reservoirs. Sedimentary Geology. 450. 106395–106395. 3 indexed citations
11.
Kirmizakis, Panagiotis, et al.. (2023). Detection of Iron Disulfide Materials in Geological Porous Media Using Spectral Induced Polarization Method. SPE Journal. 28(6). 3409–3418. 2 indexed citations
12.
El‐Husseiny, Ammar, et al.. (2023). Rock physics and machine learning comparison: elastic properties prediction and scale dependency. Frontiers in Earth Science. 11. 6 indexed citations
13.
Ali, Abdulwahab, Mohamed E. Kandil, Ammar El‐Husseiny, et al.. (2021). Can fluid-substitution models continue to ignore the complex physicochemical properties of crude oil?. Geophysics. 86(6). MR299–MR314. 2 indexed citations
14.
Mohammed, Isah, Mohamed Mahmoud, Ammar El‐Husseiny, et al.. (2021). Impact of Asphaltene Precipitation and Deposition on Wettability and Permeability. ACS Omega. 6(31). 20091–20102. 59 indexed citations
15.
Elsayed, Mahmoud, et al.. (2021). An experimental study on the effect of magnetic field strength and internal gradient on NMR-Derived petrophysical properties of sandstones. Journal of Petroleum Science and Engineering. 205. 108811–108811. 23 indexed citations
16.
Li, Ming, Scott J. Seltzer, Douglas K. McCarty, et al.. (2020). Shale rock core analysis using NMR: Effect of bitumen and water content. Journal of Petroleum Science and Engineering. 195. 107847–107847. 24 indexed citations
17.
Elsayed, Mahmoud, et al.. (2019). A New Method To Evaluate Reaction Kinetics of Acids with Carbonate Rocks Using NMR Diffusion Measurements. Energy & Fuels. 34(1). 787–797. 16 indexed citations
18.
El‐Husseiny, Ammar & Rosemary Knight. (2017). A Laboratory Study of the Link Between NMR Relaxation Data and Pore Size In Carbonate Skeletal Grains and Micrite. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 58(2). 116–125. 17 indexed citations
19.
El‐Husseiny, Ammar & Tiziana Vanorio. (2016). Porosity-permeability relationship in dual-porosity carbonate analogs. Geophysics. 82(1). MR65–MR74. 18 indexed citations
20.
El‐Husseiny, Ammar & Tiziana Vanorio. (2015). The effect of micrite content on the acoustic velocity of carbonate rocks. Geophysics. 80(4). L45–L55. 29 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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