Iyad Katib

3.9k total citations
106 papers, 2.3k citations indexed

About

Iyad Katib is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Iyad Katib has authored 106 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Networks and Communications, 35 papers in Electrical and Electronic Engineering and 30 papers in Artificial Intelligence. Recurrent topics in Iyad Katib's work include Advanced Optical Network Technologies (21 papers), Optical Network Technologies (18 papers) and IoT and Edge/Fog Computing (13 papers). Iyad Katib is often cited by papers focused on Advanced Optical Network Technologies (21 papers), Optical Network Technologies (18 papers) and IoT and Edge/Fog Computing (13 papers). Iyad Katib collaborates with scholars based in Saudi Arabia, United States and China. Iyad Katib's co-authors include Rashid Mehmood, Aiiad Albeshri, Furqan Alam, Nasser Albogami, Saleh M. Altowaijri, Ebtesam Alomari, Thaha Muhammed, George N. Rouskas, Deep Medhi and Ahmed Alzahrani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Iyad Katib

103 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iyad Katib Saudi Arabia 24 800 583 562 392 230 106 2.3k
Aiiad Albeshri Saudi Arabia 26 921 1.2× 743 1.3× 243 0.4× 583 1.5× 208 0.9× 92 2.3k
Yunchuan Sun China 28 804 1.0× 816 1.4× 520 0.9× 739 1.9× 135 0.6× 138 2.9k
M. Mazhar Rathore South Korea 26 1.1k 1.4× 615 1.1× 432 0.8× 701 1.8× 352 1.5× 65 3.0k
Pierfrancesco Bellini Italy 21 538 0.7× 307 0.5× 244 0.4× 385 1.0× 220 1.0× 122 1.9k
Runhe Huang Japan 19 647 0.8× 553 0.9× 329 0.6× 438 1.1× 386 1.7× 149 2.0k
Shengzhong Feng China 30 513 0.6× 745 1.3× 614 1.1× 617 1.6× 145 0.6× 108 2.8k
Carlee Joe‐Wong United States 27 1.5k 1.9× 530 0.9× 1.1k 1.9× 648 1.7× 167 0.7× 139 2.9k
Lianyong Qi China 24 606 0.8× 784 1.3× 254 0.5× 630 1.6× 144 0.6× 61 1.9k
Stathes Hadjiefthymiades Greece 22 993 1.2× 526 0.9× 412 0.7× 604 1.5× 218 0.9× 179 2.2k
Jukka Riekki Finland 24 1.0k 1.3× 396 0.7× 356 0.6× 550 1.4× 146 0.6× 170 2.6k

Countries citing papers authored by Iyad Katib

Since Specialization
Citations

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

Fields of papers citing papers by Iyad Katib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iyad Katib

This figure shows the co-authorship network connecting the top 25 collaborators of Iyad Katib. A scholar is included among the top collaborators of Iyad Katib 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 Iyad Katib. Iyad Katib 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.
2.
Cheng, Jun, et al.. (2024). ADP-Based Decentralized Load Frequency Control Schemes to Multiarea Asynchronous Markov Jumping Power Systems With Experience Replay. IEEE Transactions on Cybernetics. 54(11). 6997–7010. 4 indexed citations
3.
Tsikerdekis, Michail, Sherali Zeadally, & Iyad Katib. (2024). Defenses Against Artificial Intelligence Attacks. Computer. 57(11). 49–59. 1 indexed citations
4.
Luo, Mengzhuo, et al.. (2024). Security synchronization problem for stochastic complex networks via event-triggered impulsive control with actuation delays. Communications in Nonlinear Science and Numerical Simulation. 133. 107958–107958. 5 indexed citations
5.
Luo, Mengzhuo, et al.. (2024). Adaptive event‐triggered lateral control for autonomous vehicle system under stochastic‐sampling subject to dynamic quantization. International Journal of Robust and Nonlinear Control. 34(17). 11819–11844. 1 indexed citations
6.
Mehmood, Rashid, Iyad Katib, Xiaohui Liang, et al.. (2024). Harmonizing AI governance regulations and neuroinformatics: perspectives on privacy and data sharing. Frontiers in Neuroinformatics. 18. 1472653–1472653. 3 indexed citations
7.
Ragab, Mahmoud, et al.. (2024). Automated brain tumor recognition using equilibrium optimizer with deep learning approach on MRI images. Scientific Reports. 14(1). 29448–29448. 3 indexed citations
8.
Liu, Hongliang, Jun Cheng, Jinde Cao, & Iyad Katib. (2023). Preassigned-time synchronization for complex-valued memristive neural networks with reaction–diffusion terms and Markov parameters. Neural Networks. 169. 520–531. 20 indexed citations
9.
Wu, Junhui, et al.. (2023). Adaptive neural network control for Markov jumping systems against deception attacks. Neural Networks. 168. 206–213. 15 indexed citations
10.
Kong, Linghuan, Mengzhuo Luo, Jun Cheng, et al.. (2023). Security‐based fault detection filtering design for fuzzy singular semi‐Markovian jump systems via improved dynamic event‐triggering and quantization protocols. International Journal of Adaptive Control and Signal Processing. 38(1). 39–75. 2 indexed citations
11.
Kang, Wei, G. Qin, Jun Cheng, et al.. (2023). Probabilistic event-triggered protocol for switched power systems under multi-strategy deception attack. Journal of the Franklin Institute. 360(16). 11623–11640. 3 indexed citations
12.
Katib, Iyad & Mahmoud Ragab. (2023). Heap Based Optimization with Deep Quantum Neural Network Based Decision Making on Smart Healthcare Applications. Computer Systems Science and Engineering. 46(3). 3749–3765. 4 indexed citations
13.
14.
Mehmood, Rashid, et al.. (2023). AI explainability and governance in smart energy systems: A review. Frontiers in Energy Research. 11. 30 indexed citations
15.
Katib, Iyad & Mahmoud Ragab. (2023). Blockchain-Assisted Hybrid Harris Hawks Optimization Based Deep DDoS Attack Detection in the IoT Environment. Mathematics. 11(8). 1887–1887. 29 indexed citations
16.
Katib, Iyad, et al.. (2023). Hybrid Hunter–Prey Optimization with Deep Learning-Based Fintech for Predicting Financial Crises in the Economy and Society. Electronics. 12(16). 3429–3429. 7 indexed citations
17.
Mehmood, Rashid, et al.. (2023). Psychological Health and Drugs: Data-Driven Discovery of Causes, Treatments, Effects, and Abuses. Toxics. 11(3). 287–287. 6 indexed citations
18.
Mehmood, Rashid, et al.. (2022). LidSonic for Visually Impaired: Green Machine Learning-Based Assistive Smart Glasses with Smart App and Arduino. Electronics. 11(7). 1076–1076. 19 indexed citations
19.
Katib, Iyad, et al.. (2022). LidSonic V2.0: A LiDAR and Deep-Learning-Based Green Assistive Edge Device to Enhance Mobility for the Visually Impaired. Sensors. 22(19). 7435–7435. 18 indexed citations
20.
Katib, Iyad & Deep Medhi. (2011). A study on layer correlation effects through a multilayer network optimization problem. 31–38. 4 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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