Omran Ayoub

891 citations
65 papers · 527 · h-index 14

Impact in

Papers in

Omran Ayoub

58 papers receiving 510 citations

Peers

Omran Ayoub
Comparison fields: 5 of 56
  • Computer Networks and Communications 175
  • Electrical and Electronic Engineering 320
  • Artificial Intelligence 107
  • Communication 19
  • Information Systems 52
Replace Masaki Aida with:
Masaki Aida Japan
Aravindh Raman United Kingdom
Katharina Kohls Germany
Syed Zeeshan Hussain India
Mingzhe Li United States
Paolo Giacomazzi Italy
Yongjune Kim South Korea
Ted Kwon South Korea
Akira Yamada Japan
Mohamed Ahmed Canada
Omran Ayoub relative to Masaki Aida Japan Masaki Aida's profile →
Citations per field
00.5×10×15×20×23.8×
Masaki Aida · 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 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202230
2 202230
3 202229
4 202323
5 202122
6 202019
7 201818
8 202018
9 201817
10 201917
11 202316
12 202016
13 202215
14 202114
15 202213
16 202112
17 202011
18 201710
19 202010
20 202110

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 65 papers that have together received 527 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 (16 papers), Caching and Content Delivery (9 papers), Peer-to-Peer Network Technologies (6 papers), Software System Performance and Reliability (5 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Computer Networks and Communications (175 citations), Electrical and Electronic Engineering (320 citations), Artificial Intelligence (107 citations), Communication (19 citations) and Information Systems (52 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, Achille Pattavina, Sebastian Troìa, Cristina Rottondi, Jun Wu, Luca Luceri and Rosanna Pastorelli. 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 Communications Letters.

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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