Ammar Rayes

3.2k total citations · 1 hit paper
82 papers, 1.9k citations indexed

About

Ammar Rayes is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Ammar Rayes has authored 82 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Networks and Communications, 29 papers in Electrical and Electronic Engineering and 24 papers in Information Systems. Recurrent topics in Ammar Rayes's work include IoT and Edge/Fog Computing (23 papers), Cloud Computing and Resource Management (14 papers) and Caching and Content Delivery (13 papers). Ammar Rayes is often cited by papers focused on IoT and Edge/Fog Computing (23 papers), Cloud Computing and Resource Management (14 papers) and Caching and Content Delivery (13 papers). Ammar Rayes collaborates with scholars based in United States, China and Qatar. Ammar Rayes's co-authors include Mohsen Guizani, Bechir Hamdaoui, Mehiar Dabbagh, Samer Salam, Ala Al‐Fuqaha, Shahid Mumtaz, Don J. Wood, Jonathan Rodrı́guez, Zhibo Pang and Kim Fung Tsang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

In The Last Decade

Ammar Rayes

81 papers receiving 1.9k citations

Hit Papers

Massive Internet of Things for Industrial Applications: A... 2017 2026 2020 2023 2017 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ammar Rayes United States 21 1.2k 663 595 269 120 82 1.9k
William J. Knottenbelt United Kingdom 23 614 0.5× 544 0.8× 888 1.5× 317 1.2× 168 1.4× 94 2.1k
Manuel Díáz Spain 17 1.5k 1.2× 1.4k 2.1× 312 0.5× 378 1.4× 266 2.2× 107 2.5k
Md Asri Ngadi Malaysia 26 1.3k 1.0× 716 1.1× 621 1.0× 552 2.1× 177 1.5× 107 2.3k
Xiao Liu China 28 1.2k 1.0× 258 0.4× 796 1.3× 327 1.2× 200 1.7× 100 2.2k
Flávia C. Delicato Brazil 27 1.8k 1.5× 814 1.2× 582 1.0× 376 1.4× 425 3.5× 172 2.4k
Imran Khan France 12 841 0.7× 308 0.5× 448 0.8× 218 0.8× 154 1.3× 35 1.4k
Shancang Li United Kingdom 12 734 0.6× 314 0.5× 339 0.6× 182 0.7× 168 1.4× 40 1.6k
Marjan Kuchaki Rafsanjani Iran 22 1.1k 0.9× 425 0.6× 666 1.1× 435 1.6× 168 1.4× 117 1.8k
Asad Waqar Malik Pakistan 24 1.0k 0.8× 526 0.8× 632 1.1× 244 0.9× 170 1.4× 124 1.9k
Dario Bruneo Italy 22 1.0k 0.8× 554 0.8× 285 0.5× 185 0.7× 205 1.7× 106 1.5k

Countries citing papers authored by Ammar Rayes

Since Specialization
Citations

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

Fields of papers citing papers by Ammar Rayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ammar Rayes

This figure shows the co-authorship network connecting the top 25 collaborators of Ammar Rayes. A scholar is included among the top collaborators of Ammar Rayes 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 Ammar Rayes. Ammar Rayes 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.
Rayes, Ammar & Samer Salam. (2022). Internet of Things from Hype to Reality. 12 indexed citations
2.
Hamdaoui, Bechir, et al.. (2019). A Blockchain-Based IoT Networks-on-Demand Protocol for Responsive Smart City Applications. Qatar University QSpace (Qatar University). 1–6. 5 indexed citations
3.
Mumtaz, Shahid, Abbas Jamalipour, Haris Gacanin, et al.. (2019). Licensed and Unlicensed Spectrum for Future 5G/B5G Wireless Networks. IEEE Network. 33(4). 6–8. 13 indexed citations
4.
Afzal, Muhammad Khalil, Yousaf Bin Zikria, Shahid Mumtaz, et al.. (2018). Unlocking 5G Spectrum Potential for Intelligent IoT: Opportunities, Challenges, and Solutions. IEEE Communications Magazine. 56(10). 92–93. 64 indexed citations
5.
Mumtaz, Shahid, Ahmed Alsohaily, Zhibo Pang, et al.. (2017). Massive Internet of Things for Industrial Applications: Addressing Wireless IIoT Connectivity Challenges and Ecosystem Fragmentation. IEEE Industrial Electronics Magazine. 11(1). 28–33. 248 indexed citations breakdown →
6.
Dabbagh, Mehiar, Bechir Hamdaoui, Mohsen Guizani, & Ammar Rayes. (2016). An Energy-Efficient VM Prediction and Migration Framework for Overcommitted Clouds. IEEE Transactions on Cloud Computing. 6(4). 955–966. 62 indexed citations
7.
Han, Guangjie, Mohsen Guizani, Jaime Lloret, et al.. (2016). Recent advances in green industrial networking [Guest Editorial]. IEEE Communications Magazine. 54(10). 14–15. 2 indexed citations
8.
Dabbagh, Mehiar, Bechir Hamdaoui, Mohsen Guizani, & Ammar Rayes. (2015). Exploiting Task Elasticity and Price Heterogeneity for Maximizing Cloud Computing Profits. IEEE Transactions on Emerging Topics in Computing. 6(1). 85–96. 28 indexed citations
9.
Dabbagh, Mehiar, Bechir Hamdaoui, Mohsen Guizani, & Ammar Rayes. (2015). Toward energy-efficient cloud computing: Prediction, consolidation, and overcommitment. IEEE Network. 29(2). 56–61. 80 indexed citations
10.
Hamdaoui, Bechir, et al.. (2014). Overcoming user selfishness in DSA systems through credit-based resource allocation. Qatar University QSpace (Qatar University). 20. 318–323. 3 indexed citations
11.
Hamdaoui, Bechir, et al.. (2014). Malicious-Proof and Fair Credit-Based Resource Allocation Techniques for DSA Systems. IEEE Transactions on Wireless Communications. 14(2). 606–615. 3 indexed citations
12.
Abdelwahab, Sherif, Bechir Hamdaoui, Mohsen Guizani, & Ammar Rayes. (2014). Enabling Smart Cloud Services Through Remote Sensing: An Internet of Everything Enabler. IEEE Internet of Things Journal. 1(3). 276–288. 100 indexed citations
13.
Al‐Fuqaha, Ala, et al.. (2013). Efficient failure prediction in autonomic networks based on trend and frequency analysis of anomalous patterns. International Journal of Network Management. 23(3). 186–213. 4 indexed citations
14.
Rayes, Ammar, Monique Morrow, & David Lake. (2012). Internet of things implications on ICN. 27–33. 11 indexed citations
15.
Elbes, Mohammed, Ala Al‐Fuqaha, & Ammar Rayes. (2012). Gyroscope drift correction based on TDoA technology in support of Pedestrian Dead Reckoning. 11 indexed citations
16.
Rayes, Ammar, et al.. (2011). MoSS: Mobile Smart Services for ubiquitous network management. 7. 48–52. 2 indexed citations
17.
Guizani, Mohsen, Ammar Rayes, Bilal Khan, & Ala Al‐Fuqaha. (2010). Network Modeling and Simulation: A Practical Perspective. CERN Document Server (European Organization for Nuclear Research). 19 indexed citations
18.
Guizani, Mohsen, Ammar Rayes, Bilal Khan, & Ala Al‐Fuqaha. (2010). Network Modeling and Simulation. 20 indexed citations
19.
Al‐Fuqaha, Ala, et al.. (2007). Performance of WDM Mesh Networks with Limited Traffic Grooming Resources. 1–5. 2 indexed citations
20.
Rayes, Ammar, et al.. (1996). Application of shadow price in capacity expansion of state dependent routing. Journal of Network and Systems Management. 4(1). 71–93. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026