Mohammad‐Amin Akbari

597 total citations · 1 hit paper
8 papers, 491 citations indexed

About

Mohammad‐Amin Akbari is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Mohammad‐Amin Akbari has authored 8 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 3 papers in Artificial Intelligence and 2 papers in Control and Systems Engineering. Recurrent topics in Mohammad‐Amin Akbari's work include Optimal Power Flow Distribution (5 papers), Electric Power System Optimization (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). Mohammad‐Amin Akbari is often cited by papers focused on Optimal Power Flow Distribution (5 papers), Electric Power System Optimization (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). Mohammad‐Amin Akbari collaborates with scholars based in Iran, Australia and Jordan. Mohammad‐Amin Akbari's co-authors include Jamshid Aghaei, Nima Amjady, Mohsen Zare, Amir Zahedi, Mojtaba Ghasemi, Laith Abualigah, Seyedali Mirjalili, Mohsen Gitizadeh, Alireza Roosta and Taher Niknam and has published in prestigious journals such as IEEE Transactions on Power Systems, IET Generation Transmission & Distribution and IET Renewable Power Generation.

In The Last Decade

Mohammad‐Amin Akbari

8 papers receiving 480 citations

Hit Papers

Geyser Inspired Algorithm: A New Geological-inspired Meta... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad‐Amin Akbari Iran 8 308 106 93 68 34 8 491
Hongsheng Su China 9 184 0.6× 173 1.6× 64 0.7× 73 1.1× 16 0.5× 90 387
Tarek Bouktir Algeria 15 607 2.0× 304 2.9× 100 1.1× 65 1.0× 19 0.6× 47 757
Xihuai Wang China 10 144 0.5× 190 1.8× 126 1.4× 34 0.5× 21 0.6× 59 385
Aristidis Vlachos Greece 8 196 0.6× 71 0.7× 125 1.3× 22 0.3× 31 0.9× 28 399
H.C.S. Rughooputh Mauritius 9 283 0.9× 94 0.9× 54 0.6× 17 0.3× 33 1.0× 46 399
M. Scutariu Italy 11 565 1.8× 121 1.1× 134 1.4× 47 0.7× 26 0.8× 24 700
Narottam Jangir India 11 286 0.9× 151 1.4× 114 1.2× 25 0.4× 16 0.5× 12 474
Stefanie Kuenzel United Kingdom 13 331 1.1× 196 1.8× 89 1.0× 34 0.5× 18 0.5× 24 486
Seyyed Soheil Sadat Hosseini Iran 6 413 1.3× 111 1.0× 163 1.8× 14 0.2× 30 0.9× 9 615

Countries citing papers authored by Mohammad‐Amin Akbari

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad‐Amin Akbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad‐Amin Akbari. 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 Mohammad‐Amin Akbari. The network helps show where Mohammad‐Amin Akbari may publish in the future.

Co-authorship network of co-authors of Mohammad‐Amin Akbari

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

All Works

8 of 8 papers shown
1.
Zare, Mohsen, Mohammad‐Amin Akbari, Rasoul Azizipanah‐Abarghooee, et al.. (2023). A modified Particle Swarm Optimization algorithm with enhanced search quality and population using Hummingbird Flight patterns. Decision Analytics Journal. 7. 100251–100251. 18 indexed citations
2.
Ghasemi, Mojtaba, Mohsen Zare, Amir Zahedi, et al.. (2023). Geyser Inspired Algorithm: A New Geological-inspired Meta-heuristic for Real-parameter and Constrained Engineering Optimization. Journal of Bionic Engineering. 21(1). 374–408. 143 indexed citations breakdown →
3.
Ghasemi, Mojtaba, Mohammad‐Amin Akbari, Changhyun Jun, et al.. (2022). Circulatory System Based Optimization (CSBO): an expert multilevel biologically inspired meta-heuristic algorithm. Engineering Applications of Computational Fluid Mechanics. 16(1). 1483–1525. 43 indexed citations
4.
Akbari, Mohammad‐Amin, Jamshid Aghaei, & Mostafa Barani. (2017). Multiobjective capacity planning of photovoltaics in smart electrical energy networks: improved normal boundary intersection method. IET Renewable Power Generation. 11(13). 1679–1687. 10 indexed citations
5.
Akbari, Mohammad‐Amin, Jamshid Aghaei, & Mostafa Barani. (2017). Convex probabilistic allocation of wind generation in smart distribution networks. IET Renewable Power Generation. 11(9). 1211–1218. 28 indexed citations
6.
Aghaei, Jamshid, et al.. (2015). Multi-objective Phasor Measurement Unit Placement in Electric Power Networks: Integer Linear Programming Formulation. Electric Power Components and Systems. 43(17). 1902–1911. 20 indexed citations
7.
Aghaei, Jamshid, et al.. (2014). Generation and Transmission Expansion Planning: MILP–Based Probabilistic Model. IEEE Transactions on Power Systems. 29(4). 1592–1601. 158 indexed citations
8.
Aghaei, Jamshid, Mohammad‐Amin Akbari, Alireza Roosta, Mohsen Gitizadeh, & Taher Niknam. (2012). Integrated renewable–conventional generation expansion planning using multiobjective framework. IET Generation Transmission & Distribution. 6(8). 773–784. 71 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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