Amr Al Abed

728 total citations
60 papers, 432 citations indexed

About

Amr Al Abed is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Amr Al Abed has authored 60 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cellular and Molecular Neuroscience, 26 papers in Cardiology and Cardiovascular Medicine and 20 papers in Biomedical Engineering. Recurrent topics in Amr Al Abed's work include Neuroscience and Neural Engineering (27 papers), Cardiovascular Function and Risk Factors (15 papers) and Cardiac electrophysiology and arrhythmias (15 papers). Amr Al Abed is often cited by papers focused on Neuroscience and Neural Engineering (27 papers), Cardiovascular Function and Risk Factors (15 papers) and Cardiac electrophysiology and arrhythmias (15 papers). Amr Al Abed collaborates with scholars based in Australia, Malaysia and Saudi Arabia. Amr Al Abed's co-authors include Socrates Dokos, Nigel H. Lovell, Tianruo Guo, Siwei Bai, Colleen Loo, Azam Ahmad Bakir, John W. Morley, Einly Lim, Gregg J. Suaning and Michael Stevens and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Physiology.

In The Last Decade

Amr Al Abed

56 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amr Al Abed Australia 12 165 143 130 75 68 60 432
Michael A. Barry Australia 16 322 2.0× 61 0.4× 95 0.7× 68 0.9× 61 0.9× 61 689
Vinod K. Ravikumar United States 10 340 2.1× 127 0.9× 52 0.4× 66 0.9× 21 0.3× 12 659
József Constantin Széles Austria 14 148 0.9× 64 0.4× 110 0.8× 33 0.4× 22 0.3× 34 504
Naresh C. Bhavaraju United States 12 71 0.4× 283 2.0× 83 0.6× 60 0.8× 45 0.7× 16 631
Hae‐Dong Lee South Korea 16 169 1.0× 86 0.6× 544 4.2× 71 0.9× 38 0.6× 66 838
Charles R. Davies United States 13 34 0.2× 136 1.0× 172 1.3× 54 0.7× 103 1.5× 45 546
P.P. Tarjan United States 12 201 1.2× 47 0.3× 121 0.9× 49 0.7× 85 1.3× 37 471
Jean‐Michel I. Maarek United States 17 60 0.4× 68 0.5× 230 1.8× 105 1.4× 20 0.3× 49 784
Y Hirose Japan 13 78 0.5× 107 0.7× 39 0.3× 78 1.0× 89 1.3× 34 490
Alistair Steyn‐Ross New Zealand 8 40 0.2× 70 0.5× 46 0.4× 35 0.5× 41 0.6× 31 507

Countries citing papers authored by Amr Al Abed

Since Specialization
Citations

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

Fields of papers citing papers by Amr Al Abed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amr Al Abed. 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 Amr Al Abed. The network helps show where Amr Al Abed may publish in the future.

Co-authorship network of co-authors of Amr Al Abed

This figure shows the co-authorship network connecting the top 25 collaborators of Amr Al Abed. A scholar is included among the top collaborators of Amr Al Abed 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 Amr Al Abed. Amr Al Abed 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.
Lovell, Nigel H., et al.. (2024). Alignment assessment of anisotropic liquid crystals through an automated image processing algorithm. Journal of Molecular Liquids. 408. 125243–125243. 1 indexed citations
3.
Pinyon, Jeremy L., Georg von Jonquières, Amr Al Abed, et al.. (2024). Vector‐Free Deep Tissue Targeting of DNA/RNA Therapeutics via Single Capacitive Discharge Conductivity‐Clamped Gene Electrotransfer. Advanced Science. 12(3). e2406545–e2406545.
5.
Wang, Han, Amr Al Abed, Leonardo Silvestri, et al.. (2023). A Bi-Directional Detection and Stimulation Optrode System With Charge Balancing for Neural Applications. Journal of Lightwave Technology. 41(13). 4463–4472. 1 indexed citations
6.
Ladouceur, François, Damia Mawad, Dorna Esrafilzadeh, et al.. (2023). Emerging trends in the development of flexible optrode arrays for electrophysiology. APL Bioengineering. 7(3). 31503–31503. 3 indexed citations
7.
Abed, Amr Al, Han Wang, Leonardo Silvestri, et al.. (2022). Liquid crystal electro-optical transducers for electrophysiology sensing applications. Journal of Neural Engineering. 19(5). 56031–56031. 7 indexed citations
8.
Abed, Amr Al, Azam Ahmad Bakir, Nigel H. Lovell, et al.. (2022). Fluid structure computational model of simulating mitral valve motion in a contracting left ventricle. Computers in Biology and Medicine. 148. 105834–105834. 9 indexed citations
9.
Guo, Tianruo, David Tsai, Amr Al Abed, et al.. (2019). Mediating Retinal Ganglion Cell Spike Rates Using High-Frequency Electrical Stimulation. Frontiers in Neuroscience. 13. 413–413. 25 indexed citations
10.
Otton, James, et al.. (2019). Predicting the outcome of transcatheter mitral valve implantation using image-based computational models. Journal of cardiovascular computed tomography. 14(4). 335–342. 19 indexed citations
11.
Bakir, Azam Ahmad, Amr Al Abed, Michael Stevens, Nigel H. Lovell, & Socrates Dokos. (2018). A Multiphysics Biventricular Cardiac Model: Simulations With a Left-Ventricular Assist Device. Frontiers in Physiology. 9. 1259–1259. 34 indexed citations
12.
Abed, Amr Al, et al.. (2016). Modeling the Debye dielectric response in the time domain for a liquid crystal-based biopotential optrode. PubMed. 2016. 4857–4860. 3 indexed citations
13.
Abed, Amr Al, et al.. (2015). Electromechanics modeling of the effects of myocardial infarction on left ventricular function. PubMed. 2015. 5684–5687. 3 indexed citations
14.
Guo, Tianruo, Amr Al Abed, Nigel H. Lovell, & Socrates Dokos. (2013). Optimisation of a Generic Ionic Model of Cardiac Myocyte Electrical Activity. Computational and Mathematical Methods in Medicine. 2013. 1–20. 12 indexed citations
15.
Osman, Noor Azuan Abu, Einly Lim, Kok Han Chee, et al.. (2013). Sensitivity Analysis of Left Ventricle with Dilated Cardiomyopathy in Fluid Structure Simulation. PLoS ONE. 8(6). e67097–e67097. 6 indexed citations
16.
Abed, Amr Al, Nigel H. Lovell, Gregg J. Suaning, & Socrates Dokos. (2013). A continuum neuronal tissue model based on a two-compartmental representation of cells. PubMed. 17. 6543–6546. 2 indexed citations
17.
Ong, Chi Wei, Einly Lim, Noor Azuan Abu Osman, et al.. (2012). Fluid Structure Interaction Simulation of Left Ventricular Flow Dynamics under Left Ventricular Assist Device Support. PubMed. 2012. 6293–6296. 4 indexed citations
18.
Abed, Amr Al, et al.. (2012). Study of cardiac pacemaker excitation using generic ionic models and realistic cell distribution. PubMed. 2012. 195–198. 2 indexed citations
19.
Guo, Tianruo, Amr Al Abed, Nigel H. Lovell, & Socrates Dokos. (2011). Parameter fitting using multiple datasets in cardiac action potential modeling. PubMed. 2. 158–161. 1 indexed citations
20.
Abed, Amr Al, Tianruo Guo, Nigel H. Lovell, & Socrates Dokos. (2010). An anatomically realistic 3d model of atrial propagation based on experimentally recorded action potentials. PubMed. 2009. 243–246. 3 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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