Behnam Sobhani

1.0k total citations · 1 hit paper
17 papers, 797 citations indexed

About

Behnam Sobhani is a scholar working on Mechanical Engineering, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Behnam Sobhani has authored 17 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Mechanical Engineering, 8 papers in Renewable Energy, Sustainability and the Environment and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Behnam Sobhani's work include Solar Thermal and Photovoltaic Systems (6 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (6 papers) and Fuel Cells and Related Materials (5 papers). Behnam Sobhani is often cited by papers focused on Solar Thermal and Photovoltaic Systems (6 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (6 papers) and Fuel Cells and Related Materials (5 papers). Behnam Sobhani collaborates with scholars based in Iran, China and United Kingdom. Behnam Sobhani's co-authors include Hamid Shakibi, Afshar Shokri, Sadegh Afzal, Behrooz M. Ziapour, Ehsan Gholamalizadeh, Zehui Shao, Le Zhang, Mortaza Yari, Jiyun Song and Tao Zhang and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and International Journal of Hydrogen Energy.

In The Last Decade

Behnam Sobhani

16 papers receiving 770 citations

Hit Papers

Building energy consumption prediction using multilayer p... 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
Behnam Sobhani Iran 14 345 329 311 125 105 17 797
Ravita Lamba India 21 555 1.6× 397 1.2× 400 1.3× 113 0.9× 111 1.1× 69 1.5k
Hamid Shakibi Iran 15 296 0.9× 220 0.7× 443 1.4× 124 1.0× 41 0.4× 20 821
Siyuan Fan China 14 417 1.2× 214 0.7× 276 0.9× 92 0.7× 27 0.3× 40 806
Sadegh Afzal Iran 8 214 0.6× 163 0.5× 242 0.8× 129 1.0× 17 0.2× 12 557
Behrooz M. Ziapour Iran 23 636 1.8× 268 0.8× 640 2.1× 178 1.4× 18 0.2× 50 1.3k
Afshar Shokri Iran 12 393 1.1× 246 0.7× 801 2.6× 121 1.0× 24 0.2× 12 1.2k
Tetsuya WAKUI Japan 22 195 0.6× 831 2.5× 216 0.7× 329 2.6× 81 0.8× 82 1.3k
Luca Moretti Italy 13 144 0.4× 602 1.8× 99 0.3× 88 0.7× 83 0.8× 24 881
Ahmed Khouya Morocco 16 476 1.4× 244 0.7× 262 0.8× 69 0.6× 32 0.3× 40 859
Agostino Gambarotta Italy 21 180 0.5× 415 1.3× 622 2.0× 197 1.6× 134 1.3× 61 1.3k

Countries citing papers authored by Behnam Sobhani

Since Specialization
Citations

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

Fields of papers citing papers by Behnam Sobhani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Behnam Sobhani

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

All Works

17 of 17 papers shown
1.
Abedinia, Oveis, Hamid Shakibi, Afshar Shokri, et al.. (2024). Optimization of a syngas-fueled SOFC-based multigeneration system: Enhanced performance with biomass and gasification agent selection. Renewable and Sustainable Energy Reviews. 199. 114460–114460. 43 indexed citations
2.
Hosseini, Seyed Mostafa, et al.. (2024). Fault-tolerant controller based on artificial intelligence combined with terminal sliding mode and pre-described performance function applied on ship dynamic position stabilization systems. Engineering Applications of Artificial Intelligence. 132. 107890–107890. 1 indexed citations
3.
Shakibi, Hamid, Afshar Shokri, Behnam Sobhani, & Mortaza Yari. (2023). Numerical analysis and optimization of a novel photovoltaic thermal solar unit improved by Nano-PCM as an energy storage media and finned collector. Renewable and Sustainable Energy Reviews. 179. 113230–113230. 61 indexed citations
4.
Afzal, Sadegh, Behrooz M. Ziapour, Afshar Shokri, Hamid Shakibi, & Behnam Sobhani. (2023). Building energy consumption prediction using multilayer perceptron neural network-assisted models; comparison of different optimization algorithms. Energy. 282. 128446–128446. 121 indexed citations breakdown →
5.
Metwally, Ahmed Sayed M., et al.. (2023). Sustainable and environmentally-friendly multi-generation system of power, cooling, and hydrogen; Multi-objective optimization using particle swarm algorithm. Applied Thermal Engineering. 225. 120093–120093. 18 indexed citations
6.
Afzal, Sadegh, Afshar Shokri, Behrooz M. Ziapour, Hamid Shakibi, & Behnam Sobhani. (2023). Building energy consumption prediction and optimization using different neural network-assisted models; comparison of different networks and optimization algorithms. Engineering Applications of Artificial Intelligence. 127. 107356–107356. 60 indexed citations
7.
Zhang, Tao & Behnam Sobhani. (2023). Multi-criteria assessment and optimization of a biomass-based cascade heat integration toward a novel multigeneration process: Application of a MOPSO method. Applied Thermal Engineering. 240. 122254–122254. 22 indexed citations
9.
Shakibi, Hamid, Sadegh Afzal, Afshar Shokri, & Behnam Sobhani. (2022). Utilization of a phase change material with metal foam for the performance improvement of the photovoltaic cells. Journal of Energy Storage. 51. 104466–104466. 85 indexed citations
12.
Sobhani, Behnam, et al.. (2021). Application of the improved chaotic grey wolf optimization algorithm as a novel and efficient method for parameter estimation of solid oxide fuel cells model. International Journal of Hydrogen Energy. 46(73). 36454–36465. 55 indexed citations
13.
Zhang, Yao, et al.. (2021). Research on an integrated power and freshwater generation system from natural gas energy and geothermal sources. Desalination. 525. 115494–115494. 31 indexed citations
14.
Song, Jiyun & Behnam Sobhani. (2020). Energy and exergy performance of an integrated desiccant cooling system with photovoltaic/thermal using phase change material and maisotsenko cooler. Journal of Energy Storage. 32. 101698–101698. 42 indexed citations
15.
Pan, Ding, Zhihua Yuan, Ye Yuan, et al.. (2020). Exergoeconomic analysis and optimization of a hybrid Kalina and humidification-dehumidification system for waste heat recovery of low-temperature Diesel engine. Desalination. 496. 114725–114725. 39 indexed citations
16.
Ebadi, Abdol Ghaffar, et al.. (2019). Parameter derivation of a proton exchange membrane fuel cell based on coevolutionary ribonucleic acid genetic algorithm. Computational Intelligence. 35(4). 1021–1041. 13 indexed citations
17.
Shao, Zehui, et al.. (2019). Shark Smell Optimizer applied to identify the optimal parameters of the proton exchange membrane fuel cell model. Energy Conversion and Management. 182. 1–8. 159 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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