D. Devaraj

5.5k total citations
253 papers, 4.0k citations indexed

About

D. Devaraj is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, D. Devaraj has authored 253 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 174 papers in Electrical and Electronic Engineering, 106 papers in Control and Systems Engineering and 49 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in D. Devaraj's work include Optimal Power Flow Distribution (63 papers), Power System Optimization and Stability (61 papers) and Microgrid Control and Optimization (60 papers). D. Devaraj is often cited by papers focused on Optimal Power Flow Distribution (63 papers), Power System Optimization and Stability (61 papers) and Microgrid Control and Optimization (60 papers). D. Devaraj collaborates with scholars based in India, Saudi Arabia and Malaysia. D. Devaraj's co-authors include J. Preetha Roselyn, R. Vijayanand, B. Yegnanarayana, P. Aruna Jeyanthy, Sheik Mohammed Sulthan, S. Sakthivel, K. Punitha, B. Kannapiran, S. Rajakarunakaran and T. P. Imthias Ahamed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Expert Systems with Applications.

In The Last Decade

D. Devaraj

236 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Devaraj India 33 2.3k 1.4k 957 759 349 253 4.0k
João Martins Portugal 30 2.6k 1.1× 1.8k 1.3× 238 0.2× 622 0.8× 373 1.1× 304 4.0k
Rui Castro Portugal 35 2.1k 0.9× 805 0.6× 584 0.6× 481 0.6× 564 1.6× 170 3.8k
V. Mukherjee India 48 5.0k 2.2× 3.2k 2.4× 1.2k 1.2× 690 0.9× 166 0.5× 235 7.0k
Liying Wang China 17 1.1k 0.5× 819 0.6× 2.0k 2.1× 235 0.3× 257 0.7× 59 4.0k
M. Premkumar India 37 1.6k 0.7× 840 0.6× 1.9k 1.9× 1.2k 1.6× 244 0.7× 137 4.2k
Pradeep Jangir India 37 1.7k 0.8× 833 0.6× 1.9k 1.9× 563 0.7× 215 0.6× 182 4.5k
Alireza Askarzadeh Iran 39 3.5k 1.5× 1.6k 1.2× 2.3k 2.4× 1.9k 2.4× 206 0.6× 82 6.8k
Tao Peng China 26 1.3k 0.6× 1.5k 1.1× 576 0.6× 254 0.3× 290 0.8× 178 3.1k
Petr Musı́lek Canada 28 1.8k 0.8× 975 0.7× 511 0.5× 164 0.2× 652 1.9× 218 4.0k
Chris Develder Belgium 34 3.0k 1.3× 748 0.6× 805 0.8× 267 0.4× 1.1k 3.2× 208 4.4k

Countries citing papers authored by D. Devaraj

Since Specialization
Citations

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

Fields of papers citing papers by D. Devaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Devaraj

This figure shows the co-authorship network connecting the top 25 collaborators of D. Devaraj. A scholar is included among the top collaborators of D. 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 D. Devaraj. D. 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.
Roselyn, J. Preetha, et al.. (2025). Data driven approach for estimation of remaining useful life of gearbox in wind energy conversion systems. Life Cycle Reliability and Safety Engineering. 15(1). 131–143.
2.
Devaraj, D., et al.. (2024). Simulation and Performance Analysis of Electric Vehicle. 1–6.
4.
Jeyanthy, P. Aruna, et al.. (2023). Optimum Generation Scheduling of Thermal and Hydro Power System with Renewable Power Sources Using Enhanced Grey Wolf Optimization Algorithm. Electric Power Components and Systems. 52(4). 566–583.
5.
Roselyn, J. Preetha, et al.. (2021). Development and real time implementation of intelligent holistic power control for stand alone solar photovoltaic generation system. Computers & Electrical Engineering. 96. 107519–107519. 6 indexed citations
6.
Jeyanthy, P. Aruna, et al.. (2021). Multilevel DC to AC Inverter with Superior Performance. NVEO - NATURAL VOLATILES & ESSENTIAL OILS Journal | NVEO. 3468–3477. 1 indexed citations
7.
Jeyanthy, P. Aruna, et al.. (2019). Fault Detection in Grid Connected Wind Energy Conversion Systems. International Journal of Recent Technology and Engineering (IJRTE). 8(4S2). 391–395. 1 indexed citations
8.
Jeyanthy, P. Aruna, et al.. (2019). Combined PSO and IBF Algorithm for Short Term Hydro Thermal Scheduling. International Journal of Recent Technology and Engineering (IJRTE). 8(4S2). 418–424. 1 indexed citations
9.
Prasad, Saradh, D. Devaraj, Mohamad S. AlSalhi, et al.. (2018). Fabrication of Cost-Effective Dye-Sensitized Solar Cells Using Sheet-Like CoS2 Films and Phthaloylchitosan-Based Gel-Polymer Electrolyte. Energies. 11(2). 281–281. 13 indexed citations
10.
Prasad, Saradh, Durai Govindarajan, D. Devaraj, et al.. (2018). 3D nanorhombus nickel nitride as stable and cost-effective counter electrodes for dye-sensitized solar cells and supercapacitor applications. RSC Advances. 8(16). 8828–8835. 68 indexed citations
11.
Prasad, Saradh, et al.. (2017). An Efficient Violet Amplified Spontaneous Emission (ASE) from a Conjugated Polymer (PFO-co-pX) in Solution. Materials. 10(3). 265–265. 9 indexed citations
12.
13.
Devaraj, D., et al.. (2015). A New Approach for Constant DC Link Voltage in a Direct Drive Variable Speed Wind Energy Conversion System. Journal of Electrical Engineering and Technology. 10(2). 529–538. 1 indexed citations
14.
Ganeshkumar, P., et al.. (2014). Hybrid Ant Bee Algorithm for Fuzzy Expert System Based Sample Classification. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 11(2). 347–360. 32 indexed citations
15.
Sivakumar, S. & D. Devaraj. (2014). Multi Objective Genetic Algorithm for Congestion Management in Deregulated Power System Using Generator Rescheduling and Facts Devices. Research Journal of Applied Sciences Engineering and Technology. 8(13). 1618–1624. 3 indexed citations
16.
Roselyn, J. Preetha, D. Devaraj, & Subhransu Sekhar Dash. (2013). Multi-Objective Differential Evolution for Voltage Security Constrained Optimal Power Flow in Deregulated Power Systems. International Journal of Emerging Electric Power Systems. 14(6). 591–607. 9 indexed citations
17.
Devaraj, D., et al.. (2012). Optimization of UPFC controllable parameters for stability enhancement with Real-Coded Genetic Algorithm. IEEE-International Conference On Advances In Engineering, Science And Management. 250–255. 5 indexed citations
18.
Devaraj, D., et al.. (2010). INTRUSION DETECTION USING ARTIFICIAL NEURAL NETWORK WITH REDUCED INPUT FEATURES. SHILAP Revista de lepidopterología. 2 indexed citations
19.
Devaraj, D., et al.. (2006). Voltage stability constrained reactive power planning using improved genetic algorithm. Water and Energy International. 63(2). 56–64. 6 indexed citations
20.
Devaraj, D., et al.. (2005). Multi-Objective VAR Dispatch Using Particle Swarm Optimization. International Journal of Emerging Electric Power Systems. 4(1). 23 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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