V. B. Murali Krishna

466 total citations
33 papers, 267 citations indexed

About

V. B. Murali Krishna 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, V. B. Murali Krishna has authored 33 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 15 papers in Control and Systems Engineering and 6 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in V. B. Murali Krishna's work include Microgrid Control and Optimization (12 papers), Wind Turbine Control Systems (11 papers) and Electric Motor Design and Analysis (9 papers). V. B. Murali Krishna is often cited by papers focused on Microgrid Control and Optimization (12 papers), Wind Turbine Control Systems (11 papers) and Electric Motor Design and Analysis (9 papers). V. B. Murali Krishna collaborates with scholars based in India, Portugal and Türkiye. V. B. Murali Krishna's co-authors include Sandeep Vuddanti, S. Srinivasa Murthy, Subbarao Mopidevi, D. N. Rao, Kiran Kumar Namala, Jayaram Nakka, Rajesh Cheruku, Pradeepan Periyat, J. M. Mallikarjuna and Jae‐Hong Kim and has published in prestigious journals such as Scientific Reports, IEEE Access and Renewable Energy.

In The Last Decade

V. B. Murali Krishna

26 papers receiving 249 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. B. Murali Krishna India 10 199 128 26 26 25 33 267
Aamir Ali Pakistan 14 350 1.8× 200 1.6× 26 1.0× 51 2.0× 28 1.1× 34 455
Nicolae Golovanov Romania 11 311 1.6× 192 1.5× 27 1.0× 41 1.6× 44 1.8× 58 370
Ungku Anisa Ungku Amirulddin Malaysia 10 210 1.1× 152 1.2× 30 1.2× 26 1.0× 20 0.8× 37 306
Bader Alharbi Saudi Arabia 9 191 1.0× 101 0.8× 50 1.9× 13 0.5× 25 1.0× 20 253
Xiangqian Tong China 12 325 1.6× 190 1.5× 43 1.7× 24 0.9× 42 1.7× 55 409
Aftab Ahmad Pakistan 11 279 1.4× 165 1.3× 21 0.8× 14 0.5× 28 1.1× 35 357
Venera Nurmanova Kazakhstan 9 245 1.2× 131 1.0× 26 1.0× 17 0.7× 13 0.5× 29 313
Obaid Alshammari Saudi Arabia 11 120 0.6× 126 1.0× 47 1.8× 43 1.7× 39 1.6× 35 272
Ali Haddi Morocco 8 309 1.6× 182 1.4× 31 1.2× 53 2.0× 33 1.3× 25 404
Sean Elphick Australia 11 491 2.5× 174 1.4× 36 1.4× 42 1.6× 22 0.9× 60 532

Countries citing papers authored by V. B. Murali Krishna

Since Specialization
Citations

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

Fields of papers citing papers by V. B. Murali Krishna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. B. Murali Krishna. 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 V. B. Murali Krishna. The network helps show where V. B. Murali Krishna may publish in the future.

Co-authorship network of co-authors of V. B. Murali Krishna

This figure shows the co-authorship network connecting the top 25 collaborators of V. B. Murali Krishna. A scholar is included among the top collaborators of V. B. Murali Krishna 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 V. B. Murali Krishna. V. B. Murali Krishna 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.
Sajja, Guna Sekhar, et al.. (2025). An exploratory study on intelligent active cell balancing of electric vehicle battery management and performance using machine learning algorithms. Results in Engineering. 25. 104524–104524. 7 indexed citations
2.
Okedu, Kenneth E., et al.. (2025). Economic Analysis of Off-Grid Energy Projects: A FINPLAN Model Approach. IEEE Access. 13. 83916–83929. 1 indexed citations
3.
Goel, Sonali, et al.. (2025). Optimal Energy Management in Microgrids: A Demand Response Approach with Monte Carlo Scenario Synthesis and K-Means Clustering. International Journal of Computational and Experimental Science and Engineering. 11(1).
4.
Krishna, V. B. Murali, et al.. (2025). Two-Stage Stochastic Optimization for Cost-Effective Energy Management in Grid-tied Microgrids. International Journal of Computational and Experimental Science and Engineering. 11(1).
5.
Krishna, V. B. Murali, et al.. (2025). Machine learning-based wind speed forecasting: a comparative study. Scientific Reports. 15(1). 40866–40866.
6.
Khalaf, Mohammed, et al.. (2025). Blockchain‐Based Anomaly Detection in Vehicular Ad‐Hoc Networks Using Deep Reinforcement Learning. Transactions on Emerging Telecommunications Technologies. 36(10).
7.
Krishna, V. B. Murali, et al.. (2025). Two stage energy management for maximizing renewable energy penetration. Engineering review. 45(1). 99–114.
8.
Cheruku, Rajesh, V. B. Murali Krishna, B. J. Gireesha, et al.. (2024). Enhancing solar cell efficiency: In-situ polymerization with Cu2O@CuO core-shell nanostars. Results in Engineering. 24. 103222–103222. 4 indexed citations
9.
Nakka, Jayaram, et al.. (2024). A comprehensive analysis and future prospects on battery energy storage systems for electric vehicle applications. Energy Sources Part A Recovery Utilization and Environmental Effects. 46(1). 13004–13031. 9 indexed citations
10.
Cheruku, Rajesh, et al.. (2023). Photo-electrodes decorated with carbon quantum dots: Efficient dye-sensitized solar cells. Results in Engineering. 20. 101611–101611. 10 indexed citations
11.
Krishna, V. B. Murali, et al.. (2022). Deployment and performance measurement of renewable energy based permanent magnet synchronous generator system. Measurement Sensors. 24. 100478–100478. 9 indexed citations
12.
13.
14.
Mopidevi, Subbarao, et al.. (2022). Design and control of Takagi-Sugeno-Kang fuzzy based inverter for power quality improvement in grid-tied PV systems. Measurement Sensors. 25. 100638–100638. 18 indexed citations
15.
Krishna, V. B. Murali, Sandeep Vuddanti, & S. Srinivasa Murthy. (2021). Experimental Study on Three Phase Permanent Magnet Synchronous Generator for Pico Hydro Isolated Systems. 1–4. 5 indexed citations
16.
Krishna, V. B. Murali & Sandeep Vuddanti. (2021). Identification of the best topology of delta configured three phase induction generator for distributed generation through experimental investigations. International Journal of Emerging Electric Power Systems. 23(3). 329–341. 9 indexed citations
17.
Krishna, V. B. Murali, et al.. (2021). A Fractional Order Controller Design for a Class of Linear Systems. 2. 1–4. 1 indexed citations
18.
Krishna, V. B. Murali & Sandeep Vuddanti. (2020). Experimental Study on Different Modes of Self Excited Induction Generator Operation. 1–2. 6 indexed citations
19.
Krishna, V. B. Murali, et al.. (2019). Performance Validation of PV- Cell Configurations. Journal of Advanced Research in Dynamic and Control Systems. 11. 892–899. 2 indexed citations
20.
Krishna, V. B. Murali & J. M. Mallikarjuna. (2008). Effect of Engine Speed on Intake Valve Flow Characteristics of a Diesel Engine An Analysis Using Particle Image Velocimetry. 1071–1076. 3 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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