Raid Ayoub

1.5k total citations
53 papers, 1.1k citations indexed

About

Raid Ayoub is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Raid Ayoub has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Networks and Communications, 32 papers in Hardware and Architecture and 32 papers in Electrical and Electronic Engineering. Recurrent topics in Raid Ayoub's work include Parallel Computing and Optimization Techniques (31 papers), Green IT and Sustainability (14 papers) and Advanced Data Storage Technologies (13 papers). Raid Ayoub is often cited by papers focused on Parallel Computing and Optimization Techniques (31 papers), Green IT and Sustainability (14 papers) and Advanced Data Storage Technologies (13 papers). Raid Ayoub collaborates with scholars based in United States, United Kingdom and India. Raid Ayoub's co-authors include Tajana Rosing, Gaurav Dhiman, Michael Kishinevsky, Shreyas Sundaram, Ümit Y. Ogras, Haotian Zhang, Paul V. Gratz, Rajib Nath, Alex Orailoğlu and Sumit K. Mandal and has published in prestigious journals such as Automatica, IEEE Transactions on Computers and IEEE Internet of Things Journal.

In The Last Decade

Raid Ayoub

51 papers receiving 1.0k citations

Peers

Raid Ayoub
Yuan Lin United States
Jaewook Shin South Korea
Sunggu Lee South Korea
Lin Jiang China
Tony Nowatzki United States
Kanak Agarwal United States
Raid Ayoub
Citations per year, relative to Raid Ayoub Raid Ayoub (= 1×) peers Hiroki Matsutani

Countries citing papers authored by Raid Ayoub

Since Specialization
Citations

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

Fields of papers citing papers by Raid Ayoub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raid Ayoub

This figure shows the co-authorship network connecting the top 25 collaborators of Raid Ayoub. A scholar is included among the top collaborators of Raid 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 Raid Ayoub. Raid 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
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Mandal, Sumit K., et al.. (2023). Fast Performance Analysis for NoCs With Weighted Round-Robin Arbitration and Finite Buffers. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 31(5). 670–683. 3 indexed citations
5.
Ayoub, Raid, et al.. (2021). Energy and QoS-Aware Dynamic Reliability Management of IoT Edge Computing Systems. 561–567. 1 indexed citations
6.
Yu, Xiaofan, et al.. (2020). Simulating Reliability of IoT Networks with RelIoT. 25–28. 4 indexed citations
7.
Chakrabarty, Ankush, Raid Ayoub, Stanisław H. Żak, & Shreyas Sundaram. (2017). Delayed unknown input observers for discrete-time linear systems with guaranteed performance. Systems & Control Letters. 103. 9–15. 29 indexed citations
8.
Zhang, Haotian, Raid Ayoub, & Shreyas Sundaram. (2017). Sensor selection for Kalman filtering of linear dynamical systems: Complexity, limitations and greedy algorithms. Automatica. 78. 202–210. 100 indexed citations
9.
Paterna, Francesco, et al.. (2017). Adaptive Performance Sensitivity Model to Support GPU Power Management. 1–6. 2 indexed citations
10.
Ogras, Ümit Y., et al.. (2016). Adaptive performance prediction for integrated GPUs. 1–8. 22 indexed citations
11.
Ayoub, Raid, et al.. (2015). A control-theoretic approach for energy efficient CPU-GPU subsystem in mobile platforms. 1–6. 31 indexed citations
12.
Jha, Susmit, et al.. (2014). CAPED. 1–10. 14 indexed citations
13.
Ogras, Ümit Y., et al.. (2013). Managing mobile platform power. International Conference on Computer Aided Design. 161–162. 7 indexed citations
14.
Kim, Hyungjun, et al.. (2013). Power gating with block migration in chip-multiprocessor last-level caches. 93–99. 16 indexed citations
15.
Ayoub, Raid, et al.. (2012). TempoMP: integrated prediction and management of temperature in heterogeneous MPSoCs. Design, Automation, and Test in Europe. 593–598. 19 indexed citations
16.
Ayoub, Raid, Ümit Y. Ogras, Eugene Gorbatov, et al.. (2011). OS-level power minimization under tight performance constraints in general purpose systems. 321–326. 5 indexed citations
17.
Ayoub, Raid, et al.. (2010). GentleCool: cooling aware proactive workload scheduling in multi-machine systems. Design, Automation, and Test in Europe. 295–298. 19 indexed citations
18.
Ayoub, Raid & Tajana Rosing. (2010). Cool and save: cooling aware dynamic workload scheduling in multi-socket CPU systems. Asia and South Pacific Design Automation Conference. 891–896. 7 indexed citations
19.
Ayoub, Raid & Tajana Rosing. (2009). Predict and act. 99–104. 37 indexed citations
20.
Ayoub, Raid & Alex Orailoğlu. (2007). Power efficient register file update approach for embedded processors. 431–437. 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.

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