Rajesh Devaraj

406 total citations
32 papers, 300 citations indexed

About

Rajesh Devaraj is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Rajesh Devaraj has authored 32 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Hardware and Architecture, 16 papers in Computer Networks and Communications and 9 papers in Computational Theory and Mathematics. Recurrent topics in Rajesh Devaraj's work include Real-Time Systems Scheduling (27 papers), Parallel Computing and Optimization Techniques (12 papers) and Embedded Systems Design Techniques (11 papers). Rajesh Devaraj is often cited by papers focused on Real-Time Systems Scheduling (27 papers), Parallel Computing and Optimization Techniques (12 papers) and Embedded Systems Design Techniques (11 papers). Rajesh Devaraj collaborates with scholars based in India, United Kingdom and Norway. Rajesh Devaraj's co-authors include Arnab Sarkar, Santosh Biswas, Arijit Sur and Sharul Kamal Abdul Rahim and has published in prestigious journals such as Automatica, IEEE Transactions on Industrial Informatics and IEEE Transactions on Computers.

In The Last Decade

Rajesh Devaraj

29 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajesh Devaraj India 12 205 165 65 44 36 32 300
Dario Faggioli Italy 11 298 1.5× 255 1.5× 82 1.3× 36 0.8× 35 1.0× 19 396
Henrik Thane Sweden 10 178 0.9× 104 0.6× 29 0.4× 40 0.9× 27 0.8× 23 271
Amir Hossein Ghamarian Netherlands 8 302 1.5× 254 1.5× 32 0.5× 55 1.3× 21 0.6× 14 392
D.C. Schmidt United States 12 195 1.0× 240 1.5× 65 1.0× 38 0.9× 19 0.5× 22 360
Chao-Ju Hou United States 10 300 1.5× 405 2.5× 50 0.8× 91 2.1× 96 2.7× 38 528
A. Maxiaguine Switzerland 11 224 1.1× 161 1.0× 40 0.6× 36 0.8× 31 0.9× 13 305
Luís Nogueira Portugal 10 187 0.9× 175 1.1× 42 0.6× 10 0.2× 22 0.6× 40 277
Piotr Dziurzański United Kingdom 8 96 0.5× 150 0.9× 48 0.7× 10 0.2× 40 1.1× 38 231
Gang Yao China 8 465 2.3× 335 2.0× 36 0.6× 83 1.9× 70 1.9× 26 575
Loris Marchal France 11 164 0.8× 325 2.0× 179 2.8× 32 0.7× 21 0.6× 53 386

Countries citing papers authored by Rajesh Devaraj

Since Specialization
Citations

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

Fields of papers citing papers by Rajesh Devaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajesh Devaraj

This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh Devaraj. A scholar is included among the top collaborators of Rajesh Devaraj 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 Rajesh Devaraj. Rajesh Devaraj 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.
Devaraj, Rajesh, et al.. (2025). Scheduling Task Graph Applications on Preloaded Shared-Bus based Heterogeneous Platforms. ACM Transactions on Design Automation of Electronic Systems. 31(2). 1–29.
2.
Rahim, Sharul Kamal Abdul, et al.. (2025). A survey of machine learning-driven task scheduling approaches for multiprocessor systems. Journal of Systems Architecture. 171. 103628–103628.
3.
Devaraj, Rajesh, et al.. (2024). Hybrid-sched: a QoS adaptive offline–online scheduler for real-time tasks on multi-cores. Journal of Scheduling. 28(3). 355–375.
4.
Devaraj, Rajesh & Arnab Sarkar. (2022). Comments on “IPPTS: An Efficient Algorithm for Scientific Workflow Scheduling in Heterogeneous Computing Systems”. IEEE Transactions on Parallel and Distributed Systems. 34(3). 810–811. 3 indexed citations
5.
Devaraj, Rajesh, et al.. (2022). SAFLA: Scheduling Multiple Real-Time Periodic Task Graphs on Heterogeneous Systems. IEEE Transactions on Computers. 72(4). 1067–1080. 17 indexed citations
6.
Devaraj, Rajesh, et al.. (2021). SLAQA. ACM Transactions on Embedded Computing Systems. 20(5). 1–31. 19 indexed citations
7.
Devaraj, Rajesh, et al.. (2021). Contention Cognizant Scheduling of Task Graphs on Shared Bus-Based Heterogeneous Platforms. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(2). 281–293. 19 indexed citations
8.
Devaraj, Rajesh & Arnab Sarkar. (2020). Resource-Optimal Fault-Tolerant Scheduler Design for Task Graphs Using Supervisory Control. IEEE Transactions on Industrial Informatics. 17(11). 7325–7337. 15 indexed citations
9.
Devaraj, Rajesh, et al.. (2020). SEAMERS: A Semi-partitioned Energy-Aware scheduler for heterogeneous MulticorE Real-time Systems. Journal of Systems Architecture. 114. 101953–101953. 25 indexed citations
10.
Devaraj, Rajesh. (2020). A solution to drawbacks in capturing execution requirements on heterogeneous platforms. The Journal of Supercomputing. 76(9). 6901–6916. 5 indexed citations
11.
Devaraj, Rajesh, et al.. (2019). HEALERS: a heterogeneous energy‐aware low‐overhead real‐time scheduler. IET Computers & Digital Techniques. 13(6). 470–480. 13 indexed citations
12.
Devaraj, Rajesh, et al.. (2019). Client-Side QoE Management for SVC Video Streaming: An FSM Supported Design Approach. IEEE Transactions on Network and Service Management. 16(3). 1113–1126. 10 indexed citations
13.
Devaraj, Rajesh, et al.. (2019). Optimal Scheduling of PTGs with Multiple Service Levels on Heterogeneous Distributed Systems. 157–162. 9 indexed citations
14.
Devaraj, Rajesh, et al.. (2019). HEART: A Heterogeneous Energy-Aware Real-Time Scheduler. 476–481. 10 indexed citations
15.
Devaraj, Rajesh, Arnab Sarkar, & Santosh Biswas. (2018). Supervisory Control Approach and its Symbolic Computation for Power-Aware RT Scheduling. IEEE Transactions on Industrial Informatics. 15(2). 787–799. 18 indexed citations
16.
Devaraj, Rajesh, et al.. (2018). FEST: Fault-Tolerant Energy-Aware Scheduling on Two-Core Heterogeneous Platform. 63–68. 13 indexed citations
17.
Devaraj, Rajesh, et al.. (2018). HETERO-SCHED: A Low-Overhead Heterogeneous Multi-core Scheduler for Real-Time Periodic Tasks. 659–666. 16 indexed citations
18.
Devaraj, Rajesh, et al.. (2018). COST: A Cluster-Oriented Scheduling Technique for Heterogeneous Multi-cores. 1951–1957. 9 indexed citations
19.
Devaraj, Rajesh, et al.. (2018). A hybrid offline-online approach to adaptive downlink resource allocation over LTE. IEEE/CAA Journal of Automatica Sinica. 6(3). 766–777. 6 indexed citations
20.
Devaraj, Rajesh, Arnab Sarkar, & Santosh Biswas. (2017). Fault-Tolerant Preemptive Aperiodic RT Scheduling by Supervisory Control of TDES on Multiprocessors. ACM Transactions on Embedded Computing Systems. 16(3). 1–25. 14 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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