Pratap Chandra Nayak

616 total citations
36 papers, 449 citations indexed

About

Pratap Chandra Nayak is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Energy Engineering and Power Technology. According to data from OpenAlex, Pratap Chandra Nayak has authored 36 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 35 papers in Control and Systems Engineering and 7 papers in Energy Engineering and Power Technology. Recurrent topics in Pratap Chandra Nayak's work include Frequency Control in Power Systems (36 papers), Microgrid Control and Optimization (35 papers) and Power System Optimization and Stability (12 papers). Pratap Chandra Nayak is often cited by papers focused on Frequency Control in Power Systems (36 papers), Microgrid Control and Optimization (35 papers) and Power System Optimization and Stability (12 papers). Pratap Chandra Nayak collaborates with scholars based in India. Pratap Chandra Nayak's co-authors include Ramesh Chandra Prusty, Sidhartha Panda, Sonalika Mishra, Ajit Kumar Barisal, Sanjay Kumar Patel, Binod Kumar Sahu, Banaja Mohanty, А. К. Панда and Chitralekha Jena and has published in prestigious journals such as Neural Computing and Applications, Soft Computing and Energy Sources Part A Recovery Utilization and Environmental Effects.

In The Last Decade

Pratap Chandra Nayak

33 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pratap Chandra Nayak India 14 404 393 64 19 14 36 449
More Raju India 10 441 1.1× 422 1.1× 41 0.6× 41 2.2× 16 1.1× 35 526
Mandeep Sharma India 12 471 1.2× 469 1.2× 81 1.3× 33 1.7× 14 1.0× 17 516
K. S. Rajesh India 7 367 0.9× 373 0.9× 55 0.9× 12 0.6× 14 1.0× 7 419
Sonalika Mishra India 9 302 0.7× 299 0.8× 40 0.6× 5 0.3× 17 1.2× 16 334
Manoj Kumar Debnath India 11 313 0.8× 296 0.8× 43 0.7× 27 1.4× 14 1.0× 63 373
Tianjun Jing China 8 458 1.1× 352 0.9× 31 0.5× 8 0.4× 9 0.6× 26 494
G. T. Chandra Sekhar India 6 648 1.6× 644 1.6× 40 0.6× 57 3.0× 16 1.1× 8 723
Johann Jaeger Germany 11 408 1.0× 347 0.9× 11 0.2× 12 0.6× 26 1.9× 62 452
Asadur Rahman India 15 652 1.6× 585 1.5× 124 1.9× 46 2.4× 40 2.9× 37 698
Lujie Yu China 12 479 1.2× 266 0.7× 40 0.6× 16 0.8× 4 0.3× 40 515

Countries citing papers authored by Pratap Chandra Nayak

Since Specialization
Citations

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

Fields of papers citing papers by Pratap Chandra Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pratap Chandra Nayak. 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 Pratap Chandra Nayak. The network helps show where Pratap Chandra Nayak may publish in the future.

Co-authorship network of co-authors of Pratap Chandra Nayak

This figure shows the co-authorship network connecting the top 25 collaborators of Pratap Chandra Nayak. A scholar is included among the top collaborators of Pratap Chandra Nayak 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 Pratap Chandra Nayak. Pratap Chandra Nayak 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.
Nayak, Pratap Chandra, et al.. (2024). Improved frequency regulation of dual-area hybrid power system with the influence of energy storage devices. Electrical Engineering. 4 indexed citations
3.
4.
Nayak, Pratap Chandra, Sonalika Mishra, Ramesh Chandra Prusty, & Sidhartha Panda. (2023). Hybrid whale optimization algorithm with simulated annealing for load frequency controller design of hybrid power system. Soft Computing. 30(2). 1045–1068. 18 indexed citations
5.
Nayak, Pratap Chandra, et al.. (2023). Design of fractional order multistage controller for frequency control improvement of a multi-microgrid system using equilibrium optimizer. Multiscale and Multidisciplinary Modeling Experiments and Design. 7(2). 1357–1373. 6 indexed citations
7.
Nayak, Pratap Chandra, Ramesh Chandra Prusty, & Sidhartha Panda. (2022). Adaptive fuzzy approach for load frequency control using hybrid moth flame pattern search optimization with real time validation. Evolutionary Intelligence. 17(2). 1111–1126. 23 indexed citations
8.
Mishra, Sonalika, Pratap Chandra Nayak, Ramesh Chandra Prusty, & Sidhartha Panda. (2022). Hybrid dragonfly algorithm and pattern search optimized adaptive fuzzy PID controller for frequency regulation of multi microgrid system using Henkel matrix based reduced‐order model. International Journal of Numerical Modelling Electronic Networks Devices and Fields. 36(1). 6 indexed citations
9.
Mishra, Sonalika, Pratap Chandra Nayak, Ramesh Chandra Prusty, & Sidhartha Panda. (2022). Performance analysis of multistage PID controller for frequency regulation of multi microgrid system using atom search optimisation. International Journal of Ambient Energy. 43(1). 7371–7386. 10 indexed citations
10.
Nayak, Pratap Chandra, et al.. (2021). Imperialist competitive algorithm optimized cascade controller for load frequency control of multi-microgrid system. Energy Sources Part A Recovery Utilization and Environmental Effects. 47(1). 5538–5560. 41 indexed citations
11.
Nayak, Pratap Chandra, et al.. (2021). Sunflower optimization based fractional order fuzzy PID controller for frequency regulation of solar-wind integrated power system with hydrogen aqua equalizer-fuel cell unit. Energy Sources Part A Recovery Utilization and Environmental Effects. 47(1). 9550–9568. 32 indexed citations
12.
Nayak, Pratap Chandra, Ramesh Chandra Prusty, & Sidhartha Panda. (2021). Grasshopper optimization algorithm optimized multistage controller for automatic generation control of a power system with FACTS devices. Protection and Control of Modern Power Systems. 6(1). 48 indexed citations
13.
Mishra, Sonalika, et al.. (2020). Frequency regulation of an islanded microgrid integrated by virtual inertia control. 4 indexed citations
14.
Nayak, Pratap Chandra, et al.. (2020). PSO optimized PIDF controller for Load-frequency control of A.C Multi-Islanded-Micro grid system. 116–121. 9 indexed citations
15.
Nayak, Pratap Chandra, Sonalika Mishra, Ramesh Chandra Prusty, & Sidhartha Panda. (2020). Performance analysis of hydrogen aqua equaliser fuel-cell on AGC of Wind-hydro-thermal power systems with sunflower algorithm optimised fuzzy-PDFPI controller. International Journal of Ambient Energy. 43(1). 3454–3467. 15 indexed citations
18.
Nayak, Pratap Chandra, Sanjay Kumar Patel, Ramesh Chandra Prusty, & Sidhartha Panda. (2019). MVO-PS Optimized Hybrid FOFPID Controller for Load Frequency Control of an AC Micro-Grid System. International Journal of Recent Technology and Engineering (IJRTE). 8(2). 3805–3812. 14 indexed citations
20.
Nayak, Pratap Chandra, Ramesh Chandra Prusty, & Sidhartha Panda. (2019). Grasshopper optimisation algorithm of multistage PD F  + (1 + PI) controller for AGC with GDB and GRC nonlinearity of dispersed type power system. International Journal of Ambient Energy. 43(1). 1469–1481. 27 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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