Ehsan Eftekhari-Zadeh

748 total citations
49 papers, 614 citations indexed

About

Ehsan Eftekhari-Zadeh is a scholar working on Mechanics of Materials, Biomedical Engineering and Radiation. According to data from OpenAlex, Ehsan Eftekhari-Zadeh has authored 49 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanics of Materials, 15 papers in Biomedical Engineering and 14 papers in Radiation. Recurrent topics in Ehsan Eftekhari-Zadeh's work include Flow Measurement and Analysis (15 papers), Nuclear Physics and Applications (14 papers) and Non-Destructive Testing Techniques (12 papers). Ehsan Eftekhari-Zadeh is often cited by papers focused on Flow Measurement and Analysis (15 papers), Nuclear Physics and Applications (14 papers) and Non-Destructive Testing Techniques (12 papers). Ehsan Eftekhari-Zadeh collaborates with scholars based in Germany, Saudi Arabia and Iran. Ehsan Eftekhari-Zadeh's co-authors include Gholam Hossein Roshani, Ehsan Nazemi, S.A.H. Feghhi, Alireza Fatehi, Saeed Setayeshi, Seyed Mehdi Alizadeh, John William Grimaldo Guerrero, Osman Taylan, ‏Abdullah K. Alanazi and Abdulilah Mohammad Mayet and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Hydrogen Energy.

In The Last Decade

Ehsan Eftekhari-Zadeh

47 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ehsan Eftekhari-Zadeh Germany	13	246	211	143	127	126	49	614
Enrico Corniani Belgium	10	148 0.6×	150 0.7×	116 0.8×	134 1.1×	88 0.7×	16	612
Volodymyr Mosorov Poland	14	216 0.9×	241 1.1×	149 1.0×	222 1.7×	111 0.9×	58	644
Leszek Petryka Poland	12	320 1.3×	292 1.4×	134 0.9×	77 0.6×	166 1.3×	45	560
Marcin Zych Poland	17	405 1.6×	419 2.0×	201 1.4×	139 1.1×	221 1.8×	71	838
César Marques Salgado Brazil	15	389 1.6×	276 1.3×	204 1.4×	54 0.4×	213 1.7×	60	864
Giang T.T. Phan Vietnam	10	107 0.4×	89 0.4×	64 0.4×	91 0.7×	64 0.5×	20	468
Peshawa Jamal Muhammad Ali Iraq	7	100 0.4×	96 0.5×	76 0.5×	85 0.7×	60 0.5×	13	412
M. El-Kordy Egypt	13	65 0.3×	99 0.5×	157 1.1×	120 0.9×	42 0.3×	46	588
Xiongjun Wu China	14	63 0.3×	101 0.5×	148 1.0×	95 0.7×	204 1.6×	75	674
Amlan Datta India	16	203 0.8×	33 0.2×	355 2.5×	395 3.1×	22 0.2×	89	1.0k

Countries citing papers authored by Ehsan Eftekhari-Zadeh

Since Specialization

Citations

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

Fields of papers citing papers by Ehsan Eftekhari-Zadeh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ehsan Eftekhari-Zadeh. 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 Ehsan Eftekhari-Zadeh. The network helps show where Ehsan Eftekhari-Zadeh may publish in the future.

Co-authorship network of co-authors of Ehsan Eftekhari-Zadeh

This figure shows the co-authorship network connecting the top 25 collaborators of Ehsan Eftekhari-Zadeh. A scholar is included among the top collaborators of Ehsan Eftekhari-Zadeh 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 Ehsan Eftekhari-Zadeh. Ehsan Eftekhari-Zadeh 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

Mayet, Abdulilah Mohammad, et al.. (2023). Intelligent Measuring of the Volume Fraction Considering Temperature Changes and Independent Pressure Variations for a Two-Phase Homogeneous Fluid Using an 8-Electrode Sensor and an ANN. Sensors. 23(15). 6959–6959. 5 indexed citations

Mayet, Abdulilah Mohammad, et al.. (2023). Using Ant Colony Optimization as a Method for Selecting Features to Improve the Accuracy of Measuring the Thickness of Scale in an Intelligent Control System. Processes. 11(6). 1621–1621. 1 indexed citations

Mayet, Abdulilah Mohammad, Seyed Mehdi Alizadeh, John William Grimaldo Guerrero, et al.. (2023). An Intelligent Approach to Determine Component Volume Percentages in a Symmetrical Homogeneous Three-Phase Fluid in Scaled Pipe Conditions. Symmetry. 15(6). 1131–1131. 1 indexed citations

Chen, Tzu-Chia, Seyed Mehdi Alizadeh, ‏Abdullah K. Alanazi, et al.. (2023). Using ANN and Combined Capacitive Sensors to Predict the Void Fraction for a Two-Phase Homogeneous Fluid Independent of the Liquid Phase Type. Processes. 11(3). 940–940. 13 indexed citations

Eftekhari-Zadeh, Ehsan, R. Loetzsch, M. Blümcke, et al.. (2023). Complex diagnostic and numerical study of x-ray and particle emissions under relativistic ultra-short laser-solid interaction. Physica Scripta. 98(11). 115615–115615.

Chen, Tzu-Chia, Seyed Mehdi Alizadeh, Marwan Ali Albahar, et al.. (2023). Introducing the Effective Features Using the Particle Swarm Optimization Algorithm to Increase Accuracy in Determining the Volume Percentages of Three-Phase Flows. Processes. 11(1). 236–236. 8 indexed citations

Mayet, Abdulilah Mohammad, et al.. (2023). Combination of a Nondestructive Testing Method with Artificial Neural Network for Determining Thickness of Aluminum Sheets Regardless of Alloy’s Type. Electronics. 12(21). 4504–4504. 1 indexed citations

Roshani, Gholam Hossein, et al.. (2023). Experimental Study of Void Fraction Measurement Using a Capacitance-Based Sensor and ANN in Two-Phase Annular Regimes for Different Fluids. Axioms. 12(1). 66–66. 19 indexed citations

Roshani, Gholam Hossein, et al.. (2023). An Experimental and Simulation Study for Comparison of the Sensitivity of Different Non-Destructive Capacitive Sensors in a Stratified Two-Phase Flow Regime. Electronics. 12(6). 1284–1284. 9 indexed citations

10.

Syah, Rahmad, et al.. (2023). Improved Artificial Neural Network with High Precision for Predicting Burnout among Managers and Employees of Start-Ups during COVID-19 Pandemic. Electronics. 12(5). 1109–1109. 5 indexed citations

11.

Mayet, Abdulilah Mohammad, et al.. (2023). Application of the Fourier Transform to Improve the Accuracy of Gamma-Based Volume Percentage Detection System Independent of Scale Thickness. Separations. 10(10). 534–534. 1 indexed citations

12.

Balubaid, Mohammed, et al.. (2022). Central Nervous System: Overall Considerations Based on Hardware Realization of Digital Spiking Silicon Neurons (DSSNs) and Synaptic Coupling. Mathematics. 10(6). 882–882. 4 indexed citations

13.

Mayet, Abdulilah Mohammad, Tzu-Chia Chen, Seyed Mehdi Alizadeh, et al.. (2022). Optimizing the Gamma Ray-Based Detection System to Measure the Scale Thickness in Three-Phase Flow through Oil and Petrochemical Pipelines in View of Stratified Regime. Processes. 10(9). 1866–1866. 6 indexed citations

14.

Mayet, Abdulilah Mohammad, et al.. (2022). Application of Artificial Intelligence for Determining the Volume Percentages of a Stratified Regime’s Three-Phase Flow, Independent of the Oil Pipeline’s Scale Thickness. Processes. 10(10). 1996–1996. 6 indexed citations

15.

Mayet, Abdulilah Mohammad, et al.. (2022). Increasing the Efficiency of a Control System for Detecting the Type and Amount of Oil Product Passing through Pipelines Based on Gamma-Ray Attenuation, Time Domain Feature Extraction, and Artificial Neural Networks. Polymers. 14(14). 2852–2852. 6 indexed citations

16.

Mayet, Abdulilah Mohammad, Ahmed S. Salama, Seyed Mehdi Alizadeh, et al.. (2022). Applying Data Mining and Artificial Intelligence Techniques for High Precision Measuring of the Two-Phase Flow’s Characteristics Independent of the Pipe’s Scale Layer. Electronics. 11(3). 459–459. 17 indexed citations

17.

Mayet, Abdulilah Mohammad, et al.. (2022). Increasing the Accuracy and Optimizing the Structure of the Scale Thickness Detection System by Extracting the Optimal Characteristics Using Wavelet Transform. Separations. 9(10). 288–288. 1 indexed citations

18.

Mayet, Abdulilah Mohammad, et al.. (2022). Introducing a Precise System for Determining Volume Percentages Independent of Scale Thickness and Type of Flow Regime. Mathematics. 10(10). 1770–1770. 20 indexed citations

19.

Mayet, Abdulilah Mohammad, et al.. (2022). Application of Wavelet Characteristics and GMDH Neural Networks for Precise Estimation of Oil Product Types and Volume Fractions. Symmetry. 14(9). 1797–1797. 7 indexed citations

20.

Sattari, Mohammad, et al.. (2021). Application of Gamma Attenuation Technique and Artificial Intelligence to Detect Scale Thickness in Pipelines in Which Two-Phase Flows with Different Flow Regimes and Void Fractions Exist. Symmetry. 13(7). 1198–1198. 34 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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