Omran Ayoub

891 total citations
65 papers, 527 citations indexed

About

Omran Ayoub is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Omran Ayoub has authored 65 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Electrical and Electronic Engineering, 26 papers in Computer Networks and Communications and 18 papers in Artificial Intelligence. Recurrent topics in Omran Ayoub's work include Advanced Optical Network Technologies (30 papers), Optical Network Technologies (25 papers) and Advanced Photonic Communication Systems (20 papers). Omran Ayoub is often cited by papers focused on Advanced Optical Network Technologies (30 papers), Optical Network Technologies (25 papers) and Advanced Photonic Communication Systems (20 papers). Omran Ayoub collaborates with scholars based in Italy, Switzerland and Lebanon. Omran Ayoub's co-authors include Massimo Tornatore, Francesco Musumeci, Silvia Giordano, A. Castoldi, Achille Pattavina, Sebastian Troìa, Luca Luceri, Jun Wu, Cristina Rottondi and Andrea Bianco and has published in prestigious journals such as IEEE Access, IEEE Communications Magazine and Journal of Lightwave Technology.

In The Last Decade

Omran Ayoub

58 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Omran Ayoub Italy 14 320 175 107 52 42 65 527
Oliver Gasser Germany 11 126 0.4× 245 1.4× 155 1.4× 63 1.2× 33 0.8× 33 377
Masaki Aida Japan 11 147 0.5× 367 2.1× 37 0.3× 35 0.7× 20 0.5× 125 491
Yongjune Kim South Korea 10 116 0.4× 54 0.3× 114 1.1× 27 0.5× 36 0.9× 42 302
Syed Zeeshan Hussain India 9 140 0.4× 94 0.5× 54 0.5× 52 1.0× 20 0.5× 26 286
Ted Kwon South Korea 12 106 0.3× 583 3.3× 166 1.6× 57 1.1× 30 0.7× 36 650
Fudong Qiu China 5 394 1.2× 99 0.6× 90 0.8× 31 0.6× 30 0.7× 12 539
Lisheng Chen China 10 185 0.6× 21 0.1× 41 0.4× 38 0.7× 13 0.3× 39 277
Xuying Meng China 10 33 0.1× 72 0.4× 176 1.6× 68 1.3× 38 0.9× 26 269
Katharina Kohls Germany 9 103 0.3× 196 1.1× 188 1.8× 66 1.3× 32 0.8× 17 324

Countries citing papers authored by Omran Ayoub

Since Specialization
Citations

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

Fields of papers citing papers by Omran Ayoub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omran Ayoub

This figure shows the co-authorship network connecting the top 25 collaborators of Omran Ayoub. A scholar is included among the top collaborators of Omran Ayoub 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 Omran Ayoub. Omran Ayoub 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.
Ayoub, Omran, et al.. (2025). Capacity Sharing for Survivable Virtual Network Mapping Against Double-Link Failures. IEEE Transactions on Network and Service Management. 22(4). 3003–3015.
2.
Pedro, João, Omran Ayoub, Nelson Costa, et al.. (2024). Optimizing Deep Learning-Based Failure Management in Optical Networks by Monitoring Relative Neural Activity. 1–3. 1 indexed citations
3.
4.
Ayoub, Omran, Carlos Natalino, & Paolo Monti. (2024). Towards Explainable Reinforcement Learning in Optical Networks: The RMSA Use Case. Chalmers Research (Chalmers University of Technology). W4I.6–W4I.6. 2 indexed citations
5.
Ayoub, Omran, et al.. (2023). Routing, Channel, Key-Rate, and Time-Slot Assignment for QKD in Optical Networks. IEEE Transactions on Network and Service Management. 21(1). 148–160. 23 indexed citations
6.
Ayoub, Omran, et al.. (2023). Exposing influence campaigns in the age of LLMs: a behavioral-based AI approach to detecting state-sponsored trolls. EPJ Data Science. 12(1). 46–46. 16 indexed citations
7.
8.
Ayoub, Omran, Sebastian Troìa, Andrea Bianco, et al.. (2022). Towards explainable artificial intelligence in optical networks: the use case of lightpath QoT estimation. Journal of Optical Communications and Networking. 15(1). A26–A26. 30 indexed citations
9.
Ayoub, Omran, et al.. (2022). On Using Explainable Artificial Intelligence for Failure Identification in Microwave Networks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 48–55. 8 indexed citations
10.
Ayoub, Omran, et al.. (2022). Availability Evaluation of Service Function Chains Under Different Protection Schemes. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 244–249. 4 indexed citations
11.
Ayoub, Omran, et al.. (2022). Minimizing equipment and energy cost in mixed 10G and 100G/200G filterless horseshoe networks with hierarchical OTN boards. Annals of Telecommunications. 78(5-6). 297–311. 4 indexed citations
12.
Ayoub, Omran, et al.. (2022). If Not Here, There. Explaining Machine Learning Models for Fault Localization in Optical Networks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–3. 15 indexed citations
13.
Ayoub, Omran, et al.. (2021). Progressive Slice Recovery With Guaranteed Slice Connectivity After Massive Failures. IEEE/ACM Transactions on Networking. 30(2). 826–839. 14 indexed citations
14.
Ayoub, Omran, et al.. (2021). Optical Metro Network Design with Low Cost of Equipment. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–4. 9 indexed citations
15.
Ayoub, Omran, et al.. (2020). A Techno-Economic Comparison of Filterless and Wavelength-Switched Optical Metro Networks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–4. 5 indexed citations
16.
Musumeci, Francesco, et al.. (2020). Dynamic DU/CU Placement for 3-layer C-RANs in Optical Metro-Access Networks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–4. 10 indexed citations
17.
Ayoub, Omran, et al.. (2019). Routing and Spectrum Allocation with Amplifier Placement in Elastic Metro-Aggregation Networks. 403 (4 pp.)–403 (4 pp.). 1 indexed citations
18.
Ayoub, Omran, et al.. (2018). Survivable BBU Placement for C-RAN over Optical Aggregation Networks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–4. 7 indexed citations
19.
Ayoub, Omran, et al.. (2018). Filterless and Semi-Filterless Solutions in a Metro-HAUL Network Architecture. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–4. 17 indexed citations
20.
Ayoub, Omran, Francesco Musumeci, Massimo Tornatore, & Achille Pattavina. (2017). Efficient Routing and Bandwidth Assignment for Inter-Data-Center Live Virtual-Machine Migrations. Journal of Optical Communications and Networking. 9(3). B12–B12. 10 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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