Narendra Kumar

1.5k total citations
82 papers, 1.1k citations indexed

About

Narendra Kumar is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Narendra Kumar has authored 82 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Electrical and Electronic Engineering, 53 papers in Control and Systems Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Narendra Kumar's work include Power System Optimization and Stability (40 papers), Microgrid Control and Optimization (34 papers) and Frequency Control in Power Systems (25 papers). Narendra Kumar is often cited by papers focused on Power System Optimization and Stability (40 papers), Microgrid Control and Optimization (34 papers) and Frequency Control in Power Systems (25 papers). Narendra Kumar collaborates with scholars based in India, Spain and Malaysia. Narendra Kumar's co-authors include Yogendra Arya, Suman Bhowmick, Biswarup Das, S. K. Gupta, Saket Gupta, Ibraheem, Fausto Pedro Garcı́a Márquez, Hasmat Malik, Laxmi Srivastava and Rajeev Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Systems and IEEE Transactions on Power Delivery.

In The Last Decade

Narendra Kumar

74 papers receiving 1000 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Narendra Kumar India 16 963 836 77 53 41 82 1.1k
Mohamed Boudour Algeria 20 1.1k 1.1× 685 0.8× 59 0.8× 34 0.6× 51 1.2× 121 1.2k
P. S. Chandramohanan Nair India 11 424 0.4× 288 0.3× 21 0.3× 59 1.1× 26 0.6× 32 510
Muwaffaq I. Alomoush Jordan 15 788 0.8× 313 0.4× 40 0.5× 14 0.3× 34 0.8× 33 847
Deepak Kumar Gupta India 12 324 0.3× 299 0.4× 28 0.4× 12 0.2× 22 0.5× 54 447
Ulf Häger Germany 15 896 0.9× 693 0.8× 69 0.9× 5 0.1× 13 0.3× 73 967
Daniil Panasetsky Russia 13 396 0.4× 215 0.3× 38 0.5× 6 0.1× 53 1.3× 50 515
T. P. Imthias Ahamed India 15 649 0.7× 372 0.4× 52 0.7× 18 0.3× 106 2.6× 47 764
Chen Yuan United States 13 721 0.7× 512 0.6× 60 0.8× 3 0.1× 64 1.6× 47 844
Krzysztof Rudion Germany 16 1.0k 1.1× 618 0.7× 66 0.9× 4 0.1× 23 0.6× 113 1.1k
Gang Mu China 15 620 0.6× 302 0.4× 140 1.8× 3 0.1× 52 1.3× 70 711

Countries citing papers authored by Narendra Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Narendra Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narendra Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Narendra Kumar. A scholar is included among the top collaborators of Narendra Kumar 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 Narendra Kumar. Narendra Kumar 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.
Fissha, Yewuhalashet, Hajime Ikeda, Narendra Kumar, et al.. (2024). Data-driven machine learning approaches for simultaneous prediction of peak particle velocity and frequency induced by rock blasting in mining. SHILAP Revista de lepidopterología. 4(1). 100166–100166. 9 indexed citations
2.
Kumar, Narendra, et al.. (2024). PLC and SCADA based temperature control of heat exchanger system through fractional order PID controller using metaheuristic optimization techniques. Heat and Mass Transfer. 60(9). 1585–1602. 1 indexed citations
3.
Kumar, Narendra, et al.. (2024). Artificial neural network‐based adaptive control for nonlinear dynamical systems. International Journal of Adaptive Control and Signal Processing. 38(8). 2693–2715. 1 indexed citations
4.
Kumar, Narendra, et al.. (2024). Stochastic‐gradient‐based control algorithms for power quality enhancement in solar photovoltaic interfaced three‐phase distribution system. IET Generation Transmission & Distribution. 18(22). 3567–3578.
5.
Kumar, Narendra, et al.. (2023). Review of sub-synchronous interaction in wind integrated power systems: classification, challenges, and mitigation techniques. Protection and Control of Modern Power Systems. 8(1). 34 indexed citations
6.
Kumar, Narendra, et al.. (2023). Battery energy storage-based system damping controller for alleviating sub-synchronous oscillations in a DFIG-based wind power plant. Protection and Control of Modern Power Systems. 8(1). 18 indexed citations
7.
Gupta, Saket, Narendra Kumar, Laxmi Srivastava, et al.. (2021). A Robust Optimization Approach for Optimal Power Flow Solutions Using Rao Algorithms. Energies. 14(17). 5449–5449. 24 indexed citations
8.
Singh, Indu, et al.. (2021). A multi-level classification and modified PSO clustering based ensemble approach for credit scoring. Applied Soft Computing. 111. 107687–107687. 13 indexed citations
9.
Gupta, Saket, Narendra Kumar, Laxmi Srivastava, et al.. (2021). A Hybrid Jaya–Powell’s Pattern Search Algorithm for Multi-Objective Optimal Power Flow Incorporating Distributed Generation. Energies. 14(10). 2831–2831. 12 indexed citations
10.
Kumar, Narendra, et al.. (2021). Frequency analysis of multi-source single area power system using WCA algorithm. 492–496. 2 indexed citations
11.
Singh, Indu, et al.. (2020). Database intrusion detection using role and user behavior based risk assessment. Journal of Information Security and Applications. 55. 102654–102654. 6 indexed citations
12.
Kumar, Narendra, et al.. (2019). JAYA Optimized Generation Control Strategy for Interconnected Diverse Source Power System with Varying Participation. Energy Sources Part A Recovery Utilization and Environmental Effects. 44(1). 1813–1829. 7 indexed citations
14.
Kumar, Narendra, et al.. (2014). SSR Alleviation using BVLC Supplementary Controlled SVS of Series Compensated Power System. Indonesian Journal of Electrical Engineering and Computer Science. 12(9). 6551–6559. 1 indexed citations
15.
Arya, Yogendra, et al.. (2012). Load Frequency Control of a Four-Area Power System using Linear Quadratic Regulator. 2(2). 12 indexed citations
16.
Arya, Yogendra, Narendra Kumar, & Sanjay Kumar Sinha. (2012). Fuzzy Logic Based Load Frequency Control of Multi-Area Electrical Power System Considering Non-Linearities and Boiler Dynamics. International Energy Journal. 13(2). 15 indexed citations
17.
Kumar, Narendra, et al.. (2012). Mitigation of induction generator effect due to SSR with STATCOM in synchronous generator. 1–6. 5 indexed citations
18.
Bhowmick, Suman, Biswarup Das, & Narendra Kumar. (2011). An Advanced Static Synchronous Compensator Model to Reuse Newton and Decoupled Power Flow Codes. Electric Power Components and Systems. 39(15). 1647–1666. 9 indexed citations
19.
Bhowmick, Suman, Biswarup Das, & Narendra Kumar. (2008). An Indirect UPFC Model to Enhance Reusability of Newton Power-Flow Codes. IEEE Transactions on Power Delivery. 23(4). 2079–2088. 44 indexed citations
20.
Kumar, Narendra. (2006). Damping SSR in a series compensated power system. 62. 7 pp.–7 pp.. 9 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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