A.N. El-hoshoudy

1.8k total citations · 1 hit paper
48 papers, 1.3k citations indexed

About

A.N. El-hoshoudy is a scholar working on Ocean Engineering, Analytical Chemistry and Mechanical Engineering. According to data from OpenAlex, A.N. El-hoshoudy has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Ocean Engineering, 21 papers in Analytical Chemistry and 13 papers in Mechanical Engineering. Recurrent topics in A.N. El-hoshoudy's work include Enhanced Oil Recovery Techniques (34 papers), Petroleum Processing and Analysis (19 papers) and Reservoir Engineering and Simulation Methods (9 papers). A.N. El-hoshoudy is often cited by papers focused on Enhanced Oil Recovery Techniques (34 papers), Petroleum Processing and Analysis (19 papers) and Reservoir Engineering and Simulation Methods (9 papers). A.N. El-hoshoudy collaborates with scholars based in Egypt, Algeria and Indonesia. A.N. El-hoshoudy's co-authors include S.M. Desouky, Sayed Gomaa, Said E. Desouky, Mohamed A. Betiha, A.M. Al-Sabagh, Attia Mahmoud Attia, S. A. Mahmoud, Fathi S. Soliman, Mahmoud A. Tantawy and M. Ramzi and has published in prestigious journals such as Scientific Reports, Fuel and Energy & Fuels.

In The Last Decade

A.N. El-hoshoudy

46 papers receiving 1.3k citations

Hit Papers

Key aspects of polymeric nanofluids as a new enhanced oil... 2024 2026 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A.N. El-hoshoudy Egypt 26 893 513 383 324 175 48 1.3k
Neha Saxena India 19 945 1.1× 695 1.4× 446 1.2× 313 1.0× 206 1.2× 36 1.4k
Montserrat Fortuny Brazil 19 478 0.5× 471 0.9× 225 0.6× 182 0.6× 169 1.0× 44 1.2k
Mohammad Nader Lotfollahi Iran 22 712 0.8× 248 0.5× 360 0.9× 512 1.6× 370 2.1× 81 1.5k
Saule Aidarova Kazakhstan 26 722 0.8× 332 0.6× 257 0.7× 343 1.1× 390 2.2× 81 1.7k
Narendra Kumar India 18 999 1.1× 545 1.1× 493 1.3× 330 1.0× 340 1.9× 27 1.6k
Bo Hyun Chon South Korea 16 882 1.0× 365 0.7× 316 0.8× 395 1.2× 247 1.4× 26 1.2k
Mohsen Mohammadi Iran 18 416 0.5× 256 0.5× 365 1.0× 266 0.8× 214 1.2× 47 1.2k
Mingzhe Dong Canada 23 1.5k 1.7× 816 1.6× 793 2.1× 499 1.5× 253 1.4× 42 1.9k
Luciana S. Spinelli Brazil 17 372 0.4× 288 0.6× 170 0.4× 99 0.3× 110 0.6× 47 816
Smita Gupta India 19 234 0.3× 237 0.5× 104 0.3× 317 1.0× 89 0.5× 50 946

Countries citing papers authored by A.N. El-hoshoudy

Since Specialization
Citations

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

Fields of papers citing papers by A.N. El-hoshoudy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.N. El-hoshoudy. 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 A.N. El-hoshoudy. The network helps show where A.N. El-hoshoudy may publish in the future.

Co-authorship network of co-authors of A.N. El-hoshoudy

This figure shows the co-authorship network connecting the top 25 collaborators of A.N. El-hoshoudy. A scholar is included among the top collaborators of A.N. El-hoshoudy 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 A.N. El-hoshoudy. A.N. El-hoshoudy 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.
El-hoshoudy, A.N., et al.. (2025). Investigation of sulfonated polyethylene glycol-polyacrylate copolymer for enhanced oil recovery through core and field-scale simulation. Journal of Molecular Liquids. 420. 126820–126820. 13 indexed citations
2.
Atta, Ayman M., et al.. (2025). New recycled polyethylene terephthalate imidazolium ionic liquids and their applications for co2 exhaust capture. Scientific Reports. 15(1). 30378–30378.
3.
Tantawy, Mahmoud A., et al.. (2024). Key aspects of polymeric nanofluids as a new enhanced oil recovery approach: A comprehensive review. Fuel. 368. 131515–131515. 46 indexed citations breakdown →
4.
El-hoshoudy, A.N., et al.. (2024). Bioremoval of lead ion from the aquatic environment using lignocellulosic (Zea mays), thermodynamics modeling, and MC simulation. International Journal of Environmental Science and Technology. 21(16). 10187–10204. 10 indexed citations
5.
Salem, Adel M., et al.. (2024). A Comprehensive Investigation of Nanocomposite Polymer Flooding at Reservoir Conditions: New Insights into Enhanced Oil Recovery. Journal of Polymers and the Environment. 32(11). 5915–5935. 29 indexed citations
6.
Gomaa, Sayed, et al.. (2024). Assessment of a Novel Xanthan Gum-Based Composite for Oil Recovery Improvement at Reservoir Conditions; Assisted with Simulation and Economic Studies. Journal of Polymers and the Environment. 32(7). 3363–3391. 29 indexed citations
7.
Selim, Mohamed S., et al.. (2024). Durable graphene-based alkyd nanocomposites for surface coating applications. Environmental Science and Pollution Research. 31(31). 43476–43491. 8 indexed citations
8.
Gomaa, Sayed, et al.. (2024). Assessment of Biopolymers Rheological Properties and Flooding Results Under Reservoir Conditions for Enhanced Oil Recovery Processes. Egyptian Journal of Chemistry. 0(0). 0–0. 6 indexed citations
9.
Gomaa, Sayed, et al.. (2024). Machine learning prediction of methane, nitrogen, and natural gas mixture viscosities under normal and harsh conditions. Scientific Reports. 14(1). 15155–15155. 18 indexed citations
10.
El-Hosiny, Fouad I., et al.. (2024). Experimental and Computational Study of Modified Biopolymer Xanthan Gum with Synthetic Vinyl Monomers for Enhanced Oil Recovery. Journal of Polymers and the Environment. 32(12). 6256–6275. 19 indexed citations
11.
El-hoshoudy, A.N., et al.. (2024). Novel Green Strategy Based on Combination of CO2/Protic Poly(ionic liquids) for Enhancing Crude Oil Recovery. Energy & Fuels. 39(1). 538–558. 10 indexed citations
12.
Gomaa, Sayed, et al.. (2023). Enhanced heavy and extra heavy oil recovery: Current status and new trends. Petroleum. 10(3). 399–410. 26 indexed citations
13.
El-hoshoudy, A.N.. (2022). Experimental and Theoretical Investigation for Synthetic Polymers, Biopolymers and Polymeric Nanocomposites Application in Enhanced Oil Recovery Operations. Arabian Journal for Science and Engineering. 47(9). 10887–10915. 35 indexed citations
15.
El-hoshoudy, A.N., et al.. (2021). Berries anthocyanins as potential SARS-CoV–2 inhibitors targeting the viral attachment and replication; molecular docking simulation. Egyptian Journal of Petroleum. 30(1). 33–43. 26 indexed citations
16.
Gomaa, Sayed, et al.. (2021). New correlations to calculate vertical sweep efficiency in oil reservoirs using nonlinear multiple regression and artificial neural network. Journal of King Saud University - Engineering Sciences. 34(7). 368–375. 17 indexed citations
17.
El-hoshoudy, A.N., S.M. Desouky, & Sayed Gomaa. (2019). Application of Acrylates in Enhanced Oil Recovery. 2(3). 1. 6 indexed citations
20.
El-hoshoudy, A.N., S.M. Desouky, & Attia Mahmoud Attia. (2018). Synthesis of starch functionalized sulfonic acid co-imidazolium/silica composite for improving oil recovery through chemical flooding technologies. International Journal of Biological Macromolecules. 118(Pt B). 1614–1626. 28 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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