Mohamed A. El-Brawany

498 total citations
21 papers, 374 citations indexed

About

Mohamed A. El-Brawany is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Control and Systems Engineering. According to data from OpenAlex, Mohamed A. El-Brawany has authored 21 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Control and Systems Engineering. Recurrent topics in Mohamed A. El-Brawany's work include Ultrasound and Hyperthermia Applications (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers) and Neural Networks and Applications (3 papers). Mohamed A. El-Brawany is often cited by papers focused on Ultrasound and Hyperthermia Applications (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers) and Neural Networks and Applications (3 papers). Mohamed A. El-Brawany collaborates with scholars based in Egypt, United Kingdom and Saudi Arabia. Mohamed A. El-Brawany's co-authors include Mohamed Esmail Karar, D. K. Nassiri, Adam Shaw, Ian Rivens, Mohammad El-Bardini, Ahmad M. El-Nagar, Hamdy K. Elminir, Janet M. Smith, G M Thompson and Mouhammad El Hassan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Fuzzy Systems and Computers & Industrial Engineering.

In The Last Decade

Mohamed A. El-Brawany

21 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed A. El-Brawany Egypt 11 103 90 70 59 57 21 374
Xinling Shi China 11 172 1.7× 62 0.7× 60 0.9× 96 1.6× 79 1.4× 67 490
Muhammad Ahsan Ullah Bangladesh 10 44 0.4× 57 0.6× 37 0.5× 36 0.6× 65 1.1× 39 407
Waree Kongprawechnon Thailand 12 41 0.4× 207 2.3× 57 0.8× 29 0.5× 88 1.5× 86 857
Suxian Cai China 10 171 1.7× 58 0.6× 52 0.7× 12 0.2× 36 0.6× 14 340
Van-Truong Pham Vietnam 14 63 0.6× 92 1.0× 87 1.2× 34 0.6× 106 1.9× 61 684
N. Kumaravel India 11 92 0.9× 44 0.5× 43 0.6× 199 3.4× 57 1.0× 39 418
E.P. Sumesh India 7 90 0.9× 25 0.3× 66 0.9× 59 1.0× 29 0.5× 16 264
Ming Yuchi China 12 232 2.3× 25 0.3× 180 2.6× 90 1.5× 64 1.1× 89 538
J.Y. Cheung United States 11 37 0.4× 114 1.3× 25 0.4× 17 0.3× 130 2.3× 58 364
Diego Dall’Alba Italy 14 334 3.2× 125 1.4× 47 0.7× 18 0.3× 92 1.6× 59 588

Countries citing papers authored by Mohamed A. El-Brawany

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed A. El-Brawany

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed A. El-Brawany

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed A. El-Brawany. A scholar is included among the top collaborators of Mohamed A. El-Brawany 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 Mohamed A. El-Brawany. Mohamed A. El-Brawany 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.
Elminir, Hamdy K., et al.. (2024). An efficient deep learning prognostic model for remaining useful life estimation of high speed CNC milling machine cutters. Results in Engineering. 24. 103420–103420. 10 indexed citations
2.
Gouda, Mohamed, et al.. (2024). Enhancement of unbalanced robot performance using fuzzy sliding mode control. Journal of Control and Decision. 1–18. 1 indexed citations
3.
El-Brawany, Mohamed A., et al.. (2023). Artificial intelligence-based data-driven prognostics in industry: A survey. Computers & Industrial Engineering. 184. 109605–109605. 26 indexed citations
4.
El-Brawany, Mohamed A., et al.. (2023). Medical Equipment Maintenance Management and Optimization in Healthcare Facilities: Literature Review. 1–11. 1 indexed citations
5.
El-Nagar, Ahmad M., et al.. (2021). Adaptive interval type-2 fuzzy controller for nonlinear networked Wiener systems subject to packet dropout and time-varying delay. ISA Transactions. 128(Pt A). 565–580. 8 indexed citations
6.
Karar, Mohamed Esmail, et al.. (2020). Optimal adaptive intuitionistic fuzzy logic control of anti-cancer drug delivery systems. Biomedical Signal Processing and Control. 58. 101861–101861. 28 indexed citations
7.
El-Nagar, Ahmad M., et al.. (2020). A Novel Hammerstein Model for Nonlinear Networked Systems Based on an Interval Type-2 Fuzzy Takagi–Sugeno–Kang System. IEEE Transactions on Fuzzy Systems. 29(2). 275–285. 27 indexed citations
8.
El-Nagar, Ahmad M., et al.. (2019). A novel fuzzy Wiener-based nonlinear modelling for engineering applications. ISA Transactions. 97. 130–142. 26 indexed citations
9.
Karar, Mohamed Esmail & Mohamed A. El-Brawany. (2018). Fully tuned RBF neural network controller for ultrasound hyperthermia cancer tumour therapy. Network Computation in Neural Systems. 29(1-4). 20–36. 7 indexed citations
10.
Karar, Mohamed Esmail, et al.. (2017). Automated Diagnosis of Heart Sounds Using Rule-Based Classification Tree. Journal of Medical Systems. 41(4). 60–60. 51 indexed citations
11.
Karar, Mohamed Esmail, et al.. (2017). Embedded drug delivery controller for cancer chemotherapy under treatment constrains. 7 indexed citations
12.
Karar, Mohamed Esmail & Mohamed A. El-Brawany. (2016). Direct RBF neural network thermal dose controller for ultrasound hyperthermia tumors treatment. 50. 60–63. 2 indexed citations
13.
El-Brawany, Mohamed A., et al.. (2013). Artificial Neural Network-Based Automated ECG Signal Classifier. 2013. 1–6. 28 indexed citations
14.
Karar, Mohamed Esmail & Mohamed A. El-Brawany. (2011). Automated Cardiac Drug Infusion System Using Adaptive Fuzzy Neural Networks Controller. SHILAP Revista de lepidopterología. 3. BECB.S6495–BECB.S6495. 19 indexed citations
15.
El-Brawany, Mohamed A., et al.. (2009). Measurement of thermal and ultrasonic properties of some biological tissues. Journal of Medical Engineering & Technology. 33(3). 249–256. 81 indexed citations
16.
El-Brawany, Mohamed A., et al.. (2008). Development of a Thermal Test Object for the Measurement of Ultrasound Intracavity Transducer Self-Heating. Ultrasound in Medicine & Biology. 34(12). 2035–2042. 8 indexed citations
17.
Hassan, Mouhammad El, et al.. (2005). A Functional Cardiovascular Model with Disorders. PubMed. 43. 5089–5092. 2 indexed citations
18.
El-Brawany, Mohamed A. & D. K. Nassiri. (2002). New approach for modelling ultrasound blood backscatter signal. Ultrasound in Medicine & Biology. 28(4). 527–534. 9 indexed citations
19.
El-Brawany, Mohamed A. & D. K. Nassiri. (2002). Microemboli detection using ultrasound backscatter. Ultrasound in Medicine & Biology. 28(11-12). 1439–1446. 12 indexed citations
20.

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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