Omran Ayoub

914 citations
71 papers · 582 · h-index 15

Impact in

Papers in

Omran Ayoub

62 papers receiving 565 citations

Peers

Omran Ayoub
Comparison fields: 5 of 62
  • Computer Networks and Communications 191
  • Electrical and Electronic Engineering 345
  • Artificial Intelligence 117
  • Communication 20
  • Information Systems 55
Replace Ajitesh Srivastava with:
Ajitesh Srivastava United States
Masaki Aida Japan
Mattia Zago Spain
Aravindh Raman United Kingdom
Logan Scott United States
Manar Mohaisen South Korea
Katharina Kohls Germany
Ted Kwon South Korea
Annalisa Socievole Italy
Mingzhe Li United States
Omran Ayoub relative to Ajitesh Srivastava United States Ajitesh Srivastava's profile →
Citations per field
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Ajitesh Srivastava · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Omran Ayoub, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Omran Ayoub Line = papers co-authored together Omran Ayoub links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202233
2 202232
3 202231
4 202325
5 202124
6 202021
7 201919
8 201819
9 202019
10 202018
11 201817
12 202217
13 202316
14 202216
15 202115
16 202113
17 202012
18 201711
19 202110
20 202010

About Omran Ayoub

Omran Ayoub is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 71 papers that have together received 582 indexed citations. Recurring topics across this work include Advanced Optical Network Technologies (30 papers), Optical Network Technologies (25 papers), Advanced Photonic Communication Systems (20 papers), Software-Defined Networks and 5G (17 papers), Caching and Content Delivery (9 papers), Software System Performance and Reliability (6 papers), Peer-to-Peer Network Technologies (6 papers) and Cloud Computing and Resource Management (5 papers). The work is most often cited by research in Computer Networks and Communications (191 citations), Electrical and Electronic Engineering (345 citations), Artificial Intelligence (117 citations), Communication (20 citations) and Information Systems (55 citations). Omran Ayoub has collaborated with scholars based in Italy, Switzerland and Lebanon. Frequent co-authors include Massimo Tornatore, Francesco Musumeci, Silvia Giordano, A. Castoldi, Davide Andreoletti, Sebastian Troìa, Achille Pattavina, Luca Luceri, Rosanna Pastorelli and Jun Wu. Their work appears in journals such as IEEE Transactions on Network and Service Management, Journal of Optical Communications and Networking, IEEE Access, IEEE Communications Magazine and IEEE Journal of Selected Topics in Quantum Electronics.

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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