M. A. Mahmud

7.1k total citations
304 papers, 5.5k citations indexed

About

M. A. Mahmud 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, M. A. Mahmud has authored 304 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 268 papers in Electrical and Electronic Engineering, 220 papers in Control and Systems Engineering and 33 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in M. A. Mahmud's work include Microgrid Control and Optimization (168 papers), Power System Optimization and Stability (75 papers) and Smart Grid Energy Management (61 papers). M. A. Mahmud is often cited by papers focused on Microgrid Control and Optimization (168 papers), Power System Optimization and Stability (75 papers) and Smart Grid Energy Management (61 papers). M. A. Mahmud collaborates with scholars based in Australia, United Kingdom and Bangladesh. M. A. Mahmud's co-authors include H. R. Pota, M. J. Hossain, Amanullah Maung Than Oo, Tushar Kanti Roy, Md Enamul Haque, Shama Naz Islam, M. N. Akter, Sajeeb Saha, Jahangir Hossain and Weixiang Shen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Journal of Cleaner Production.

In The Last Decade

M. A. Mahmud

289 papers receiving 5.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. A. Mahmud Australia 37 4.6k 3.9k 635 558 466 304 5.5k
Mohamed Shawky El Moursi United Arab Emirates 46 6.2k 1.3× 4.2k 1.1× 517 0.8× 729 1.3× 503 1.1× 258 6.8k
Hossein Shayeghi Iran 44 5.4k 1.2× 3.3k 0.8× 299 0.5× 440 0.8× 511 1.1× 244 6.1k
Guangya Yang Denmark 35 4.0k 0.9× 2.5k 0.6× 356 0.6× 471 0.8× 618 1.3× 202 4.6k
Ahmed Al‐Durra United Arab Emirates 46 5.9k 1.3× 4.5k 1.2× 947 1.5× 780 1.4× 1.0k 2.2× 368 7.3k
Juri Jatskevich Canada 39 8.1k 1.7× 5.0k 1.3× 969 1.5× 235 0.4× 714 1.5× 314 8.7k
Kai Strunz Germany 40 5.5k 1.2× 4.1k 1.1× 604 1.0× 859 1.5× 1.0k 2.2× 185 6.6k
Zhixin Miao United States 36 4.9k 1.0× 4.1k 1.0× 261 0.4× 1.2k 2.2× 420 0.9× 173 5.5k
Toshihisa Funabashi Japan 37 5.8k 1.3× 3.7k 1.0× 608 1.0× 816 1.5× 413 0.9× 208 6.7k
Li Wang Taiwan 34 4.0k 0.9× 2.8k 0.7× 237 0.4× 561 1.0× 265 0.6× 267 4.7k
Xiaodong Liang Canada 28 3.2k 0.7× 2.6k 0.7× 296 0.5× 373 0.7× 260 0.6× 302 4.4k

Countries citing papers authored by M. A. Mahmud

Since Specialization
Citations

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

Fields of papers citing papers by M. A. Mahmud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. A. Mahmud

This figure shows the co-authorship network connecting the top 25 collaborators of M. A. Mahmud. A scholar is included among the top collaborators of M. A. Mahmud 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. A. Mahmud. M. A. Mahmud 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.
Roy, Tushar Kanti, M. A. Mahmud, & Amanullah Maung Than Oo. (2025). Techno-economic feasibility of stand-alone hybrid energy systems for a remote Australian community: Optimization and sensitivity analysis. Renewable Energy. 241. 122286–122286. 15 indexed citations
2.
3.
Pasupuleti, Jagadeesh, Johnny Koh Siaw Paw, Chong Tak Yaw, et al.. (2025). Proton exchange membrane fuel cells in electric vehicles: Innovations, challenges, and pathways to sustainability. Journal of Power Sources. 640. 236769–236769. 16 indexed citations
4.
Zhang, Jingjing, et al.. (2024). Enhancing the economic efficiency of wind-photovoltaic‑hydrogen complementary power systems via optimizing capacity allocation. Journal of Energy Storage. 104. 114531–114531. 9 indexed citations
5.
Chen, Diyi, et al.. (2024). An optimization framework for multi-timescale operations of pumped storage systems: Balancing stability and economy. Journal of Energy Storage. 96. 112635–112635. 4 indexed citations
6.
Mahmud, M. A., et al.. (2024). Single line-to-ground fault current analysis for resonant grounded power distribution networks in bushfire prone areas. Electric Power Systems Research. 237. 110883–110883. 3 indexed citations
7.
Chen, Diyi, Ziwen Zhao, Jakub Jurasz, et al.. (2024). Optimizing cascade Hydropower-VRE hybrid systems: A novel approach addressing whole-process vibration to enhance operational safety. Energy. 304. 131965–131965. 6 indexed citations
8.
Roy, Tushar Kanti, Samson S. Yu, M. A. Mahmud, & Hieu Trinh. (2024). Robust LFC design using adaptive neuro‐fuzzy inference‐aided optimal fractional‐order PIDA control for perturbed power systems with solar and wind power sources. IET Generation Transmission & Distribution. 18(12). 2193–2212. 9 indexed citations
9.
Zhao, Ziwen, et al.. (2023). The potential assessment of pump hydro energy storage to reduce renewable curtailment and CO2 emissions in Northwest China. Renewable Energy. 212. 82–96. 40 indexed citations
10.
Zhao, Ziwen, et al.. (2023). Comprehensive benefit evaluations for integrating off-river pumped hydro storage and floating photovoltaic. Energy Conversion and Management. 296. 117651–117651. 25 indexed citations
12.
Chen, Diyi, Hang Wang, Hongyu Chen, et al.. (2023). Optimization and decision making of guide vane closing law for pumped storage hydropower system to improve adaptability under complex conditions. Journal of Energy Storage. 73. 109038–109038. 13 indexed citations
13.
Kannan, Ramani, et al.. (2021). A High Step-Up Switched Z-Source Converter (HS-SZC) with Minimal Components Count for Enhancing Voltage Gain. Electronics. 10(8). 924–924. 5 indexed citations
14.
Ram, J. Prasanth, Dhanup S. Pillai, Young‐Jin Kim, et al.. (2021). Parameter Estimation of Organic Photovoltaic Cells – A Three-Diode Approach Using Wind-Driven Optimization Algorithm. IEEE Journal of Photovoltaics. 12(1). 327–336. 8 indexed citations
15.
Nasiruzzaman, A. B. M., M. N. Akter, M. A. Mahmud, & H. R. Pota. (2017). Exploration of power flow distribution to reveal scale-free characteristics in power grids. 1–5. 1 indexed citations
16.
Rahman, M. S., Amanullah Maung Than Oo, & M. A. Mahmud. (2017). Voltage stability analysis of power distribution networks using multi-agent approach. 1–5. 1 indexed citations
17.
Akter, M. N., M. A. Mahmud, & Amanullah Maung Than Oo. (2017). An optimal distributed transactive energy sharing approach for residential microgrids. 1–5. 23 indexed citations
20.
Mahmud, M. A., M. J. Hossain, & H. R. Pota. (2010). Nonlinear excitation control of power systems with dynamic loads via feedback linearization. Swinburne Research Bank (Swinburne University of Technology). 1–6. 11 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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