Hamid Shakibi

1.1k total citations · 1 hit paper
20 papers, 821 citations indexed

About

Hamid Shakibi is a scholar working on Mechanical Engineering, Renewable Energy, Sustainability and the Environment and Building and Construction. According to data from OpenAlex, Hamid Shakibi has authored 20 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanical Engineering, 11 papers in Renewable Energy, Sustainability and the Environment and 6 papers in Building and Construction. Recurrent topics in Hamid Shakibi's work include Solar Thermal and Photovoltaic Systems (11 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (8 papers) and Building Energy and Comfort Optimization (6 papers). Hamid Shakibi is often cited by papers focused on Solar Thermal and Photovoltaic Systems (11 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (8 papers) and Building Energy and Comfort Optimization (6 papers). Hamid Shakibi collaborates with scholars based in Iran, United States and South Korea. Hamid Shakibi's co-authors include Afshar Shokri, Behnam Sobhani, Mortaza Yari, Sadegh Afzal, Behrooz M. Ziapour, Ata Chitsaz, Ehsanolah Assareh, Moonyong Lee, Ali Salari and Ali Hakkaki-Fard and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Applied Energy.

In The Last Decade

Hamid Shakibi

20 papers receiving 792 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.

Building energy consumption prediction using multilayer perceptron neural network-assisted models; comparison of different optimization algorithms

2023 121 citations Sadegh Afzal, Behrooz M. Ziapour et al. Energy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hamid Shakibi Iran	15	443	296	220	157	125	20	821
Behnam Sobhani Iran	14	311 0.7×	345 1.2×	329 1.5×	69 0.4×	70 0.6×	17	797
Reza Alayi Iran	21	367 0.8×	497 1.7×	383 1.7×	243 1.5×	83 0.7×	77	1.2k
Afshar Shokri Iran	12	801 1.8×	393 1.3×	246 1.1×	179 1.1×	308 2.5×	12	1.2k
Marcus Thern Sweden	19	432 1.0×	229 0.8×	296 1.3×	86 0.5×	92 0.7×	59	1.1k
Behrooz M. Ziapour Iran	23	640 1.4×	636 2.1×	268 1.2×	61 0.4×	98 0.8×	50	1.3k
Sadegh Afzal Iran	8	242 0.5×	214 0.7×	163 0.7×	44 0.3×	71 0.6×	12	557
Giuseppe Franchini Italy	20	562 1.3×	401 1.4×	236 1.1×	116 0.7×	55 0.4×	72	997
Reşat Selbaş Türkiye	21	953 2.2×	354 1.2×	182 0.8×	331 2.1×	175 1.4×	53	1.3k
Agostino Gambarotta Italy	21	622 1.4×	180 0.6×	415 1.9×	131 0.8×	185 1.5×	61	1.3k
M. Hammad Jordan	17	281 0.6×	224 0.8×	212 1.0×	84 0.5×	23 0.2×	59	798

Countries citing papers authored by Hamid Shakibi

Since Specialization

Citations

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

Fields of papers citing papers by Hamid Shakibi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamid Shakibi

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

All Works

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20 of 20 papers shown

Shakibi, Hamid, et al.. (2024). Enhancing the thermal performance of an electronic chipset using an innovative cooling system: Insights from machine learning models. International Communications in Heat and Mass Transfer. 160. 108293–108293. 1 indexed citations

Salari, Ali, et al.. (2024). Predicting the performance of a heat sink utilized with an energy storage unit using machine learning approach. Journal of Energy Storage. 83. 110470–110470. 6 indexed citations

Shokri, Afshar, et al.. (2024). Optimization of biomass-fueled multigeneration system using SOFC for electricity, hydrogen, and freshwater production. International Journal of Hydrogen Energy. 88. 1293–1320. 25 indexed citations

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

Salari, Ali, et al.. (2023). A machine learning approach to optimize the performance of a combined solar chimney-photovoltaic thermal power plant. Renewable Energy. 212. 717–737. 14 indexed citations

Shakibi, Hamid, Ehsanolah Assareh, Neha Agarwal, et al.. (2023). Design and multi-objective optimization of a multi-generation system based on PEM electrolyzer, RO unit, absorption cooling system, and ORC utilizing machine learning approaches; a case study of Australia. Energy. 278. 127796–127796. 40 indexed citations

Shakibi, Hamid, Afshar Shokri, Ehsanolah Assareh, Mortaza Yari, & Moonyong Lee. (2023). Using machine learning approaches to model and optimize a combined solar/natural gas-based power and freshwater cogeneration system. Applied Energy. 333. 120607–120607. 81 indexed citations

Salari, Ali, et al.. (2023). Optimization of a solar-based PEM methanol/water electrolyzer using machine learning and animal-inspired algorithms. Energy Conversion and Management. 283. 116876–116876. 38 indexed citations

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

10.

Salari, Ali, et al.. (2023). Application of machine learning in evaluating and optimizing the hydrogen production performance of a solar-based electrolyzer system. Renewable Energy. 220. 119626–119626. 29 indexed citations

11.

Salari, Ali, et al.. (2023). Optimization assessment and performance analysis of an ingenious hybrid parabolic trough collector: A machine learning approach. Applied Energy. 353. 122062–122062. 7 indexed citations

12.

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 →

13.

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

14.

Salari, Ali, et al.. (2023). Parametric analysis of a PCM-based heat sink for electronic device thermal management. Journal of Energy Storage. 74. 109118–109118. 14 indexed citations

15.

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

16.

Shakibi, Hamid, et al.. (2022). Exergoeconomic and optimization study of a solar and wind-driven plant employing machine learning approaches; a case study of Las Vegas city. Journal of Cleaner Production. 385. 135529–135529. 53 indexed citations

17.

Shakibi, Hamid, et al.. (2022). Exergoeconomic appraisement, sensitivity analysis, and multi-objective optimization of a solar-driven generation plant for yielding electricity and cooling load. Process Safety and Environmental Protection. 170. 89–111. 29 indexed citations

18.

Shakibi, Hamid, et al.. (2022). Multi-aspect analysis and RSM-based optimization of a novel dual-source electricity and cooling cogeneration system. Applied Energy. 332. 120487–120487. 86 indexed citations

19.

Salari, Ali, et al.. (2022). A Machine Learning Approach to Optimize the Performance of a Combined Solar Chimney-Photovoltaic Thermal Power Plant. SSRN Electronic Journal. 1 indexed citations

20.

Zhang, Bo, et al.. (2020). Thermodynamic, environmental, and optimization of a new power generation system driven by a gas turbine cycle. Energy Reports. 6. 2531–2548. 27 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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