Jyoti Ranjan Nayak

710 total citations
25 papers, 522 citations indexed

About

Jyoti Ranjan Nayak is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Jyoti Ranjan Nayak has authored 25 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 19 papers in Control and Systems Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Jyoti Ranjan Nayak's work include Frequency Control in Power Systems (20 papers), Microgrid Control and Optimization (19 papers) and Power System Optimization and Stability (15 papers). Jyoti Ranjan Nayak is often cited by papers focused on Frequency Control in Power Systems (20 papers), Microgrid Control and Optimization (19 papers) and Power System Optimization and Stability (15 papers). Jyoti Ranjan Nayak collaborates with scholars based in India, Spain and China. Jyoti Ranjan Nayak's co-authors include Binod Kumar Sahu, Binod Shaw, Sanjeeb Kumar Kar, Sidhartha Panda, Raj Kumar Sahu, Kanungo Barada Mohanty, Pradeep Kumar Mohanty, Subasish Mohapatra and Subhadarshini Mohanty and has published in prestigious journals such as International Journal of Electrical Power & Energy Systems, IET Generation Transmission & Distribution and Journal of Ambient Intelligence and Humanized Computing.

In The Last Decade

Jyoti Ranjan Nayak

22 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jyoti Ranjan Nayak India 11 424 402 86 42 28 25 522
Swagat Pati India 10 522 1.2× 468 1.2× 67 0.8× 34 0.8× 45 1.6× 70 640
More Raju India 10 441 1.0× 422 1.0× 34 0.4× 41 1.0× 41 1.5× 35 526
B. Anand India 12 450 1.1× 423 1.1× 38 0.4× 32 0.8× 43 1.5× 34 551
K. Jagatheesan India 14 513 1.2× 519 1.3× 34 0.4× 30 0.7× 51 1.8× 33 626
Jawad Talaq Bahrain 9 942 2.2× 593 1.5× 71 0.8× 29 0.7× 57 2.0× 20 1.0k
Muwaffaq I. Alomoush Jordan 15 788 1.9× 313 0.8× 34 0.4× 14 0.3× 40 1.4× 33 847
Mohamed Khamies Egypt 16 589 1.4× 557 1.4× 43 0.5× 34 0.8× 105 3.8× 34 686
Nabil H. Abbasy Egypt 13 516 1.2× 352 0.9× 43 0.5× 6 0.1× 36 1.3× 57 612
Tarkeshwar Mahto India 14 486 1.1× 374 0.9× 44 0.5× 23 0.5× 75 2.7× 39 571

Countries citing papers authored by Jyoti Ranjan Nayak

Since Specialization
Citations

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

Fields of papers citing papers by Jyoti Ranjan Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyoti Ranjan Nayak

This figure shows the co-authorship network connecting the top 25 collaborators of Jyoti Ranjan Nayak. A scholar is included among the top collaborators of Jyoti Ranjan 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 Jyoti Ranjan Nayak. Jyoti Ranjan 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.
Mohapatra, Subasish, et al.. (2025). Real-Time Servo Motor Control over Wi-Fi using ESP32 and WebSocket. 1–6.
2.
Mohanty, Pradeep Kumar, et al.. (2024). Short-term electric load forecasting using empirical mode decomposition based optimized extreme learning machine. Evolving Systems. 15(6). 2169–2191.
3.
Mohanty, Pradeep Kumar, et al.. (2023). Optimally designed fuzzy-based controller using Craziness-based CSA technique for AGC performance enhancement of power system. Electrical Engineering. 106(1). 1053–1077. 4 indexed citations
4.
Shaw, Binod, et al.. (2023). Optimized Machine Learning-Based Forecasting Model for Solar Power Generation by Using Crow Search Algorithm and Seagull Optimization Algorithm. Arabian Journal for Science and Engineering. 48(11). 14823–14836. 1 indexed citations
5.
Nayak, Jyoti Ranjan, Binod Shaw, & Binod Kumar Sahu. (2022). A fuzzy adaptive symbiotic organism search based hybrid wavelet transform-extreme learning machine model for load forecasting of power system: a case study. Journal of Ambient Intelligence and Humanized Computing. 14(8). 10833–10847. 28 indexed citations
6.
Sahu, Binod Kumar, et al.. (2021). Fuzzy adaptive selfish herd optimization based optimal sliding mode controller for frequency stability enhancement of a microgrid. Engineering Science and Technology an International Journal. 33. 101071–101071. 23 indexed citations
7.
Nayak, Jyoti Ranjan, et al.. (2021). Application of optimized adaptive crow search algorithm based two degree of freedom optimal fuzzy PID controller for AGC system. Engineering Science and Technology an International Journal. 32. 101061–101061. 39 indexed citations
8.
Sahu, Raj Kumar, et al.. (2021). Short/medium term solar power forecasting of Chhattisgarh state of India using modified TLBO optimized ELM. Engineering Science and Technology an International Journal. 24(5). 1180–1200. 43 indexed citations
9.
Nayak, Jyoti Ranjan, Binod Shaw, & Binod Kumar Sahu. (2021). Automatic generation control of small hydro plants integrated multi‐area system using fuzzy based symbiotic organism search optimized hybrid PI λ D fuzzy‐PI λ D controller. International Transactions on Electrical Energy Systems. 31(8). 10 indexed citations
10.
Nayak, Jyoti Ranjan, Binod Shaw, & Binod Kumar Sahu. (2020). Novel application of optimal fuzzy‐adaptive symbiotic organism search‐based two‐degree‐of‐freedom fuzzy proportional integral derivative controller for automatic generation control study. International Transactions on Electrical Energy Systems. 30(5). 18 indexed citations
11.
Nayak, Jyoti Ranjan, Binod Shaw, & Binod Kumar Sahu. (2020). Implementation of hybrid SSA–SA based three‐degree‐of‐freedom fractional‐order PID controller for AGC of a two‐area power system integrated with small hydro plants. IET Generation Transmission & Distribution. 14(13). 2430–2440. 56 indexed citations
12.
Nayak, Jyoti Ranjan, et al.. (2020). Generation control of isolated small hydro power plant by using DECSA optimized FPI controller. World Journal of Engineering. 18(2). 280–292. 1 indexed citations
13.
Shaw, Binod & Jyoti Ranjan Nayak. (2019). Application of Intelligent Fuzzy PID Controller optimized by ALO Algorithm in AGC. 309–312. 2 indexed citations
14.
Nayak, Jyoti Ranjan, et al.. (2017). Performance Evaluation of a Two-Area Hydro Thermal System Using ALOPEX-BASED DE Algorithm. 42. 196–201. 1 indexed citations
16.
Sahu, Binod Kumar, et al.. (2015). A novel hybrid LUS–TLBO optimized fuzzy-PID controller for load frequency control of multi-source power system. International Journal of Electrical Power & Energy Systems. 74. 58–69. 165 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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