K.R.M. Vijaya Chandrakala

793 total citations
62 papers, 569 citations indexed

About

K.R.M. Vijaya Chandrakala is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, K.R.M. Vijaya Chandrakala has authored 62 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Electrical and Electronic Engineering, 21 papers in Control and Systems Engineering and 14 papers in Automotive Engineering. Recurrent topics in K.R.M. Vijaya Chandrakala's work include Advanced Battery Technologies Research (13 papers), Microgrid Control and Optimization (9 papers) and Frequency Control in Power Systems (9 papers). K.R.M. Vijaya Chandrakala is often cited by papers focused on Advanced Battery Technologies Research (13 papers), Microgrid Control and Optimization (9 papers) and Frequency Control in Power Systems (9 papers). K.R.M. Vijaya Chandrakala collaborates with scholars based in India, Saudi Arabia and Ethiopia. K.R.M. Vijaya Chandrakala's co-authors include S. Balamurugan, S. Saravanan, K. Arya, Dhafer Almakhles, Umashankar Subramaniam, T. Gireesh Kumar, V.K. Arun Shankar, Umashankar Subramaniam, B. Anand and Gudipadu Venkatesh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

K.R.M. Vijaya Chandrakala

57 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K.R.M. Vijaya Chandrakala India 11 443 317 97 30 27 62 569
Yu‐Lung Ke Taiwan 15 670 1.5× 217 0.7× 239 2.5× 20 0.7× 30 1.1× 47 754
Priyanath Das India 14 527 1.2× 306 1.0× 48 0.5× 23 0.8× 8 0.3× 68 624
Ch. Rami Reddy India 17 757 1.7× 585 1.8× 112 1.2× 74 2.5× 13 0.5× 104 893
Haifeng Liang China 14 489 1.1× 231 0.7× 48 0.5× 45 1.5× 7 0.3× 52 573
Nabil H. Abbasy Egypt 13 516 1.2× 352 1.1× 33 0.3× 36 1.2× 6 0.2× 57 612
Nurulafiqah Nadzirah Mansor Malaysia 16 666 1.5× 530 1.7× 24 0.2× 46 1.5× 24 0.9× 52 764
Kazuto Yukita Japan 12 429 1.0× 248 0.8× 93 1.0× 64 2.1× 8 0.3× 114 504
Swagat Pati India 10 522 1.2× 468 1.5× 43 0.4× 45 1.5× 34 1.3× 70 640
Ali Ghasemi-Marzbali Iran 13 453 1.0× 191 0.6× 159 1.6× 64 2.1× 10 0.4× 19 528
Saurabh Chanana India 14 888 2.0× 615 1.9× 67 0.7× 103 3.4× 30 1.1× 85 988

Countries citing papers authored by K.R.M. Vijaya Chandrakala

Since Specialization
Citations

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

Fields of papers citing papers by K.R.M. Vijaya Chandrakala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.R.M. Vijaya Chandrakala. 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 K.R.M. Vijaya Chandrakala. The network helps show where K.R.M. Vijaya Chandrakala may publish in the future.

Co-authorship network of co-authors of K.R.M. Vijaya Chandrakala

This figure shows the co-authorship network connecting the top 25 collaborators of K.R.M. Vijaya Chandrakala. A scholar is included among the top collaborators of K.R.M. Vijaya Chandrakala 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 K.R.M. Vijaya Chandrakala. K.R.M. Vijaya Chandrakala 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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Kanakadhurga, Dharmaraj, K.R.M. Vijaya Chandrakala, & Arunachalam Sundaram. (2025). Techno-Economic analysis of spot price volatility management in energy market incorporating Artificial neural network. Expert Systems with Applications. 289. 128445–128445.
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Chandrakala, K.R.M. Vijaya, et al.. (2024). Implementation of high step up converter using RBFN MPPT controller for fuel cell based electric vehicle application. Scientific Reports. 14(1). 29364–29364. 4 indexed citations
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Chandrakala, K.R.M. Vijaya, et al.. (2023). Multi-agent based modeling and learning approach for intelligent day-ahead bidding strategy in wholesale electricity market. Expert Systems with Applications. 233. 121014–121014. 8 indexed citations
7.
Chandrakala, K.R.M. Vijaya, et al.. (2022). Techno-Economic Analysis for the Profitability of Residential PV-Battery System. 1–5. 5 indexed citations
8.
Chandrakala, K.R.M. Vijaya, et al.. (2021). Statistical Model Approach of Electricity Price Forecasting for Indian Electricity Market. 1–5. 8 indexed citations
9.
Chandrakala, K.R.M. Vijaya, et al.. (2021). Design of an Isolated Onboard Plug-in Electric Vehicle Charger. 147–149. 12 indexed citations
10.
Arya, K. & K.R.M. Vijaya Chandrakala. (2021). Machine Learning Based Prediction and Forecasting of Electricity Price During COVID-19. 1–6. 2 indexed citations
11.
Chandrakala, K.R.M. Vijaya, et al.. (2019). Agent Based Locational Marginal Pricing and its Impact on Market Clearing Price in a Deregulated Electricity Market. SHILAP Revista de lepidopterología. 8 indexed citations
12.
Chandrakala, K.R.M. Vijaya, et al.. (2019). Predictive Control on Power Source Selection in Hybrid Vehicle System. IOP Conference Series Materials Science and Engineering. 577(1). 12127–12127. 3 indexed citations
13.
Chandrakala, K.R.M. Vijaya, et al.. (2019). Dynamic Pricing Based Optimal Power Mix of Grid Connected Micro Grid Using Energy Management System. 2019 Innovations in Power and Advanced Computing Technologies (i-PACT). 1–5. 6 indexed citations
14.
Chandrakala, K.R.M. Vijaya & S. Balamurugan. (2018). Adaptive Neuro-Fuzzy Scheduled Load Frequency Controller for Multi Source Multi Area System Interconnected Via Parallel AC-DC Links. International Journal on Electrical Engineering and Informatics. 10(3). 479–490. 9 indexed citations
15.
Chandrakala, K.R.M. Vijaya, et al.. (2017). Fabrication of High Efficient Dye Sensitized Solar Cell Using Eosin Blue Sensitizer. International Journal on Electrical Engineering and Informatics. 9(1). 185–194. 1 indexed citations
16.
Balamurugan, S., et al.. (2017). Congestion management for multi area deregulated power system using price area concept. 47. 1–6. 4 indexed citations
17.
Balamurugan, S., et al.. (2015). Design Aspects and Impact Analysis of TCSC. International Journal of Applied Engineering Research. 10(55). 1 indexed citations
18.
Chandrakala, K.R.M. Vijaya, et al.. (2014). Embedded driver assistance system for effective dynamic vehicle routing. 10. 182–187. 2 indexed citations
19.
Balamurugan, S., et al.. (2012). Improvement of transient stability of the power system using small Magnetic Energy Storage. IEEE-International Conference On Advances In Engineering, Science And Management. 68–71. 5 indexed citations
20.
Chandrakala, K.R.M. Vijaya, et al.. (2012). Genetic algorithm tuned optimal variable structure system controller for enhanced load frequency control. International Review of Electrical Engineering (IREE). 7. 7 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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