M. Premkumar

5.6k total citations · 2 hit papers
137 papers, 4.2k citations indexed

About

M. Premkumar is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, M. Premkumar has authored 137 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Electrical and Electronic Engineering, 50 papers in Artificial Intelligence and 42 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in M. Premkumar's work include Photovoltaic System Optimization Techniques (39 papers), Solar Radiation and Photovoltaics (27 papers) and Advanced Multi-Objective Optimization Algorithms (22 papers). M. Premkumar is often cited by papers focused on Photovoltaic System Optimization Techniques (39 papers), Solar Radiation and Photovoltaics (27 papers) and Advanced Multi-Objective Optimization Algorithms (22 papers). M. Premkumar collaborates with scholars based in India, Malaysia and Jordan. M. Premkumar's co-authors include R. Sowmya, Pradeep Jangir, Rajvikram Madurai Elavarasan, C. Kumar, Hassan Haes Alhelou, Lucian Mihet‐Popa, B. Santhosh Kumar, Rajaa Vikhram Yohanandhan, Thanikanti Sudhakar Babu and Umashankar Subramaniam and has published in prestigious journals such as Scientific Reports, Materials Science and Engineering A and Expert Systems with Applications.

In The Last Decade

M. Premkumar

129 papers receiving 4.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cyber-Physical Power System (CPPS): A Review on Modeling, Simulation, and Analysis With Cyber Security Applications

2020 227 citations M. Premkumar et al. IEEE Access profile →
Newton-Raphson-based optimizer: A new population-based metaheuristic algorithm for continuous optimization problems

2023 213 citations R. Sowmya, M. Premkumar et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Premkumar India	37	1.9k	1.6k	1.2k	840	669	137	4.2k
Wenli Du China	36	1.7k 0.9×	834 0.5×	669 0.5×	1.8k 2.1×	688 1.0×	320	5.9k
Pradeep Jangir India	37	1.9k 1.0×	1.7k 1.0×	563 0.5×	833 1.0×	1.2k 1.9×	182	4.5k
Xiaoshun Zhang China	41	1.0k 0.6×	3.6k 2.2×	1.4k 1.2×	1.8k 2.1×	200 0.3×	123	5.0k
Ahmed Fathy Egypt	43	1.5k 0.8×	3.4k 2.1×	1.9k 1.6×	1.6k 1.8×	226 0.3×	153	5.3k
Ahmad Rezaee Jordehi Iran	52	1.7k 0.9×	5.2k 3.2×	1.4k 1.1×	2.6k 3.1×	368 0.6×	118	7.4k
Zhou Wu China	29	523 0.3×	1.2k 0.8×	316 0.3×	716 0.9×	226 0.3×	137	2.9k
Hongchun Shu China	36	1.1k 0.6×	3.3k 2.0×	1.6k 1.3×	1.6k 1.9×	159 0.2×	112	4.7k
Hassan Haes Alhelou Syria	44	849 0.5×	4.7k 2.9×	939 0.8×	3.1k 3.7×	249 0.4×	245	6.6k
Ragab A. El‐Sehiemy Egypt	48	1.5k 0.8×	6.1k 3.7×	935 0.7×	3.3k 3.9×	393 0.6×	275	7.8k
Vivek Patel India	41	1.6k 0.8×	1.0k 0.6×	360 0.3×	483 0.6×	1.4k 2.1×	156	5.5k

Countries citing papers authored by M. Premkumar

Since Specialization

Citations

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

Fields of papers citing papers by M. Premkumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Premkumar

This figure shows the co-authorship network connecting the top 25 collaborators of M. Premkumar. A scholar is included among the top collaborators of M. Premkumar 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 M. Premkumar. M. Premkumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Premkumar, M., et al.. (2025). Exploring the spectrum: A comprehensive review of control methods in microgrid systems. Results in Engineering. 28. 105470–105470.

Jangir, Pradeep, Arpita Arpita, M. Premkumar, et al.. (2025). A fully-informed search scheme-based particle swarm optimisation for parameter estimation of proton exchange membrane fuel cell. International Journal of Ambient Energy. 46(1). 2 indexed citations

Premkumar, M., et al.. (2024). Design and Implementation of Discrete Field Arithmetic-Based Cylindrical Coil-Driven Crypto Framework for Cloud Data. 4(1). 97–107. 1 indexed citations

Premkumar, M., R. Sowmya, Tengku Juhana Tengku Hashim, C. S. Tan, & Rabeh Abbassi. (2024). Fitness-guided particle swarm optimization with adaptive Newton-Raphson for photovoltaic model parameter estimation. Applied Soft Computing. 167. 112295–112295. 5 indexed citations

Kumar, C., et al.. (2024). Multi-objective Approach for Dynamic Economic Emission Dispatch Problem Considering Power System Reliability and Transmission Loss Prediction Using Cascaded Forward Neural Network. International Journal of Computational Intelligence Systems. 17(1). 1 indexed citations

Wahab, Noor Izzri Abdul, M. Premkumar, Ali Jafer Mahdi, et al.. (2024). A Hybrid Sparrow Search Optimized Fractional Virtual Inertia Control for Frequency Regulation of Multi-Microgrid System. IEEE Access. 12. 45879–45903. 23 indexed citations

Premkumar, M., et al.. (2024). Optimizing residential flexibility for sustainable energy management in distribution networks. Energy Reports. 12. 4696–4716. 4 indexed citations

Sangeetha, S., T. Aruldoss Albert Victoire, M. Premkumar, & R. Sowmya. (2024). ExAq-MSPP: An Energy-Efficient Mobile Sink Path Planning Using Extended Aquila Optimization Algorithm. International Journal of Computational Intelligence Systems. 17(1).

Sahoo, Saroj Kumar, Essam H. Houssein, M. Premkumar, Apu Kumar Saha, & Marwa M. Emam. (2023). Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation. Expert Systems with Applications. 227. 120367–120367. 44 indexed citations

10.

Devi, R. Manjula, et al.. (2023). IGJO: An Improved Golden Jackel Optimization Algorithm Using Local Escaping Operator for Feature Selection Problems. Neural Processing Letters. 55(5). 6443–6531. 27 indexed citations

11.

Wahab, Noor Izzri Abdul, Ali Jafer Mahdi, M. Premkumar, et al.. (2023). A Hybrid Grey Wolf Assisted-Sparrow Search Algorithm for Frequency Control of RE Integrated System. Energies. 16(3). 1177–1177. 15 indexed citations

12.

Sahoo, Saroj Kumar, et al.. (2023). Multi-objective quasi-reflection learning and weight strategy-based moth flame optimization algorithm. Neural Computing and Applications. 36(8). 4229–4261. 20 indexed citations

13.

Premkumar, M., et al.. (2023). AIR POLLUTION PREDICTION USING MACHINE LEARNING. International Journal of Engineering Technology and Management Sciences. 7(2). 830–835. 1 indexed citations

14.

Premkumar, M., Pradeep Jangir, R. Sowmya, & Laith Abualigah. (2023). MaOMFO: Many-objective moth flame optimizer using reference-point based non-dominated sorting mechanism for global optimization problems. Decision Science Letters. 12(3). 571–590. 8 indexed citations

15.

Kumar, N. M. Saravana, et al.. (2023). MLBRSA: Multi-Learning-Based Reptile Search Algorithm for Global Optimization and Software Requirement Prioritization Problems. Biomimetics. 8(8). 615–615. 5 indexed citations

16.

Jangir, Pradeep, M. Premkumar, Sundaram B. Pandya, & R. Sowmya. (2023). MaOTLBO: Many-objective teaching-learning-based optimizer for control and monitoring the optimal power flow of modern power systems. International Journal of Industrial Engineering Computations. 14(2). 293–308. 16 indexed citations

17.

Premkumar, M., et al.. (2023). An intelligent converter and controller for electric vehicle drives utilizing grid and stand-alone solar photovoltaic power generation systems. International Journal of Applied Power Engineering (IJAPE). 12(3). 255–255. 7 indexed citations

18.

Irudayaraj, Andrew Xavier Raj, Noor Izzri Abdul Wahab, Veerapandiyan Veerasamy, et al.. (2023). Distributed intelligence for consensus-based frequency control of multi-microgrid network with energy storage system. Journal of Energy Storage. 73. 109183–109183. 12 indexed citations

19.

Premkumar, M., R. Sowmya, Pradeep Jangir, & Jagdish Kumar. (2020). A New and Reliable Objective Functions for Extracting the Unknown Parameters of Solar Photovoltaic Cell Using Political Optimizer Algorithm. 1–6. 22 indexed citations

20.

Premkumar, M., et al.. (2018). Humpback Whale Assisted Hybrid Maximum Power Point Tracking Algorithm for Partially Shaded Solar Photovoltaic Systems. Journal of Power Electronics. 18(6). 1805–1818. 49 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.

Explore authors with similar magnitude of impact