Ibrahim Ziedan

725 total citations
32 papers, 507 citations indexed

About

Ibrahim Ziedan is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ibrahim Ziedan has authored 32 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Control and Systems Engineering and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Ibrahim Ziedan's work include Text and Document Classification Technologies (5 papers), Energy Load and Power Forecasting (4 papers) and Fault Detection and Control Systems (4 papers). Ibrahim Ziedan is often cited by papers focused on Text and Document Classification Technologies (5 papers), Energy Load and Power Forecasting (4 papers) and Fault Detection and Control Systems (4 papers). Ibrahim Ziedan collaborates with scholars based in Egypt, United Arab Emirates and Canada. Ibrahim Ziedan's co-authors include Khaled Shaalan, Ayman Ahmed, Ahmed M. Helmi, Aboul Ella Hassanien, Mohamed Issa, Diego Oliva, Ahmed M. Alzohairy, Helen Shang, Ahmed Fathy and Gamal Attiya and has published in prestigious journals such as IEEE Transactions on Automatic Control, Expert Systems with Applications and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

Ibrahim Ziedan

31 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ibrahim Ziedan Egypt 11 289 131 65 50 41 32 507
Ying Ling China 6 333 1.2× 97 0.7× 117 1.8× 139 2.8× 90 2.2× 10 554
Emanuel Ontiveros-Robles Mexico 11 510 1.8× 170 1.3× 47 0.7× 75 1.5× 45 1.1× 20 671
Binping Zhao China 5 190 0.7× 56 0.4× 46 0.7× 79 1.6× 57 1.4× 6 356
Ratul Chakraborty India 5 244 0.8× 56 0.4× 52 0.8× 132 2.6× 56 1.4× 5 399
Omar Ávalos Mexico 12 250 0.9× 109 0.8× 104 1.6× 112 2.2× 123 3.0× 33 560
Dongdong Yang China 11 310 1.1× 59 0.5× 60 0.9× 182 3.6× 46 1.1× 23 484
Cosmin Păduraru Canada 6 147 0.5× 110 0.8× 60 0.9× 25 0.5× 35 0.9× 10 371
Gang Leng United Kingdom 9 431 1.5× 180 1.4× 105 1.6× 32 0.6× 77 1.9× 14 621
Shuai Lü China 10 160 0.6× 50 0.4× 58 0.9× 39 0.8× 95 2.3× 56 362

Countries citing papers authored by Ibrahim Ziedan

Since Specialization
Citations

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

Fields of papers citing papers by Ibrahim Ziedan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ibrahim Ziedan. 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 Ibrahim Ziedan. The network helps show where Ibrahim Ziedan may publish in the future.

Co-authorship network of co-authors of Ibrahim Ziedan

This figure shows the co-authorship network connecting the top 25 collaborators of Ibrahim Ziedan. A scholar is included among the top collaborators of Ibrahim Ziedan 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 Ibrahim Ziedan. Ibrahim Ziedan 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.
Ziedan, Ibrahim, et al.. (2024). Optimized Hybrid Convolution Neural Network with Machine Learning for Arabic Sign Language Recognition. Traitement du signal. 41(4). 1835–1846. 2 indexed citations
2.
Issa, Mohamed, et al.. (2024). Optimization of PID Controller Parameter using the Geometric Mean Optimizer. International Journal of Advanced Computer Science and Applications. 15(4). 1 indexed citations
3.
Ziedan, Ibrahim, et al.. (2023). Energy consumption forecast in peer to peer energy trading. SN Applied Sciences. 5(8). 2 indexed citations
4.
Ziedan, Ibrahim, et al.. (2023). An Efficient Convolutional Neural Network Classification Model for Several Sign Language Alphabets. International Journal of Advanced Computer Science and Applications. 14(9). 2 indexed citations
5.
Attiya, Gamal, et al.. (2023). An efficient multi-objective scheduling algorithm based on spider monkey and ant colony optimization in cloud computing. Cluster Computing. 27(2). 1799–1819. 15 indexed citations
6.
Herajy, Mostafa, et al.. (2022). Formal verification confirms the role of p53 protein in cell fate decision mechanism. Theory in Biosciences. 142(1). 29–45. 6 indexed citations
7.
Ziedan, Ibrahim, et al.. (2021). Study of Climate Change Detection in North-East Africa Using Machine Learning and Satellite Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 11080–11094. 10 indexed citations
8.
Ziedan, Ibrahim, et al.. (2021). Feature Engineering for Human Activity Recognition. International Journal of Advanced Computer Science and Applications. 12(2). 3 indexed citations
9.
Ziedan, Ibrahim, et al.. (2021). A combined effective time series model based on clustering and whale optimization algorithm for forecasting smart meters electricity consumption. COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering. 41(1). 209–237. 1 indexed citations
10.
Ziedan, Ibrahim, et al.. (2020). Electrical Load Forecasting: A methodological overview. International Journal of Engineering & Technology. 9(3). 842–869. 8 indexed citations
11.
Ahmed, Ayman, et al.. (2018). Machine Learning Methods for Spacecraft Telemetry Mining. IEEE Transactions on Aerospace and Electronic Systems. 55(4). 1816–1827. 58 indexed citations
12.
Issa, Mohamed, Aboul Ella Hassanien, Diego Oliva, et al.. (2018). ASCA-PSO: Adaptive sine cosine optimization algorithm integrated with particle swarm for pairwise local sequence alignment. Expert Systems with Applications. 99. 56–70. 143 indexed citations
13.
Helmi, Ahmed M., et al.. (2018). LCMFO: An Improved Moth-Flame Algorithm for Combinatorial Optimization Problems. International Journal of Engineering and Technology. 10(6). 1793–1800. 3 indexed citations
14.
Fathy, Ahmed, et al.. (2017). Improved teaching–learning-based optimization algorithm-based maximum power point trackers for photovoltaic system. Electrical Engineering. 100(3). 1773–1784. 19 indexed citations
15.
Ziedan, Ibrahim, et al.. (2017). Human ear recognition using voting of statistical and geometrical techniques. 2. 105–111. 1 indexed citations
16.
Ziedan, Ibrahim, et al.. (2016). A Run-Time Program Phase Detection Technique for Optimizing Per-Phase L2 Cache Demand. 20(EIJEST, Vol. 20, 2016). 1–9.
17.
Ziedan, Ibrahim, et al.. (2015). Clustering of Medical X-ray Images by Merging Outputs of Different Classification Techniques.. CLEF (Working Notes). 2 indexed citations
18.
Shang, Helen, et al.. (2011). Improved subspace identification with prior information using constrained least squares. IET Control Theory and Applications. 5(13). 1568–1576. 29 indexed citations
19.
Shaalan, Khaled, et al.. (2008). A Hybrid Approach for Converting Written Egyptian Colloquial Dialect into Diacritized Arabic. 47 indexed citations
20.
Shaalan, Khaled, et al.. (2007). Transferring Egyptian Colloquial Dialect into Modern Standard Arabic. Recent Advances in Natural Language Processing. 13 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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