Mehdi Neshat

2.8k total citations · 1 hit paper
89 papers, 1.9k citations indexed

About

Mehdi Neshat is a scholar working on Aerospace Engineering, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Mehdi Neshat has authored 89 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Aerospace Engineering, 27 papers in Artificial Intelligence and 22 papers in Ocean Engineering. Recurrent topics in Mehdi Neshat's work include Wind Energy Research and Development (28 papers), Wave and Wind Energy Systems (21 papers) and Metaheuristic Optimization Algorithms Research (12 papers). Mehdi Neshat is often cited by papers focused on Wind Energy Research and Development (28 papers), Wave and Wind Energy Systems (21 papers) and Metaheuristic Optimization Algorithms Research (12 papers). Mehdi Neshat collaborates with scholars based in Australia, Iran and Italy. Mehdi Neshat's co-authors include Mehdi Sargolzaei, Ghodrat Sepidnam, Meysam Majidi Nezhad, Adel N. Toosi, Davide Astiaso Garcia, Seyedali Mirjalili, Bradley Alexander, Giuseppe Piras, Markus Wagner and Erfan Amini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Scientific Reports.

In The Last Decade

Mehdi Neshat

81 papers receiving 1.8k 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.

Artificial fish swarm algorithm: a survey of the state-of-the-art, hybridization, combinatorial and indicative applications

2012 324 citations Mehdi Neshat et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mehdi Neshat Australia	23	641	580	443	341	214	89	1.9k
Idris Ismail Malaysia	18	732 1.1×	333 0.6×	177 0.4×	167 0.5×	214 1.0×	116	1.6k
Adil Rasheed Norway	24	353 0.6×	307 0.5×	473 1.1×	329 1.0×	316 1.5×	144	3.0k
Zhongda Tian China	24	835 1.3×	577 1.0×	204 0.5×	180 0.5×	494 2.3×	93	1.8k
A. Portilla-Figueras Spain	23	909 1.4×	705 1.2×	464 1.0×	59 0.2×	150 0.7×	104	2.0k
Changzhi Wu China	30	495 0.8×	407 0.7×	148 0.3×	122 0.4×	391 1.8×	133	2.7k
Xiaoyi Wang China	28	428 0.7×	505 0.9×	142 0.3×	177 0.5×	339 1.6×	231	2.5k
Seçkin Karasu Türkiye	14	747 1.2×	561 1.0×	135 0.3×	70 0.2×	248 1.2×	21	2.3k
Yibing Li China	21	281 0.4×	341 0.6×	431 1.0×	153 0.4×	145 0.7×	187	1.6k
Krishna Kant Singh India	27	298 0.5×	582 1.0×	85 0.2×	301 0.9×	137 0.6×	165	2.5k

Countries citing papers authored by Mehdi Neshat

Since Specialization

Citations

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

Fields of papers citing papers by Mehdi Neshat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehdi Neshat

This figure shows the co-authorship network connecting the top 25 collaborators of Mehdi Neshat. A scholar is included among the top collaborators of Mehdi Neshat 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 Mehdi Neshat. Mehdi Neshat 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

Neshat, Mehdi, et al.. (2025). Smart buildings energy consumption forecasting using adaptive evolutionary bagging extra tree learning models. Energy. 333. 137130–137130. 1 indexed citations

Neshat, Mehdi, et al.. (2025). Optimization of control-oriented AI models for real-time platform pitch prediction in hybrid wind-wave offshore systems. Energy Reports. 14. 2670–2685.

Neshat, Mehdi, et al.. (2025). Effective Predictive Modelling for Emergency Department Visits and Evaluating Exogenous Variables Impact: Using Explainable Meta-Learning Gradient Boosting. 7(1). 1–33.

Neshat, Mehdi, et al.. (2025). Optimising SAG mill throughput and circulating load using machine learning models: A multi-objective approach for identifying optimal process parameters. Minerals Engineering. 232. 109551–109551.

Neshat, Mehdi, et al.. (2025). Lightweight convolutional neural networks using nonlinear Lévy chaotic moth flame optimisation for brain tumour classification via efficient hyperparameter tuning. Scientific Reports. 15(1). 22586–22586. 1 indexed citations

Amini, Erfan, Reza Marsooli, & Mehdi Neshat. (2024). A multi-faceted methodology for calibration of coastal vegetation drag coefficient. Ocean Modelling. 190. 102391–102391. 5 indexed citations

Neshat, Mehdi, Nataliia Y. Sergiienko, Meysam Majidi Nezhad, et al.. (2024). Enhancing the performance of hybrid wave-wind energy systems through a fast and adaptive chaotic multi-objective swarm optimisation method. Applied Energy. 362. 122955–122955. 24 indexed citations

Neshat, Mehdi, et al.. (2024). A Technical Comparative Heart Disease Prediction Framework Using Boosting Ensemble Techniques. Computation. 12(1). 15–15. 13 indexed citations

Arif, Tasleem, et al.. (2023). An Effective Ensemble Convolutional Learning Model with Fine-Tuning for Medicinal Plant Leaf Identification. Information. 14(11). 618–618. 13 indexed citations

10.

Neshat, Mehdi, et al.. (2023). Short-term solar radiation forecasting using hybrid deep residual learning and gated LSTM recurrent network with differential covariance matrix adaptation evolution strategy. Energy. 278. 127701–127701. 51 indexed citations

11.

Neshat, Mehdi, et al.. (2023). An effective hyper-parameter can increase the prediction accuracy in a single-step genetic evaluation. Frontiers in Genetics. 14. 1104906–1104906. 5 indexed citations

12.

Amini, Erfan, et al.. (2022). Optimization of hydraulic power take-off system settings for point absorber wave energy converter. Renewable Energy. 194. 938–954. 42 indexed citations

13.

Amini, Erfan, et al.. (2022). Layout and design optimization of ocean wave energy converters: A scoping review of state-of-the-art canonical, hybrid, cooperative, and combinatorial optimization methods. Energy Reports. 8. 15446–15479. 29 indexed citations

14.

Amini, Erfan, et al.. (2021). A Comparative Study of Metaheuristic Algorithms for Wave Energy Converter Power Take-Off Optimisation: A Case Study for Eastern Australia. Journal of Marine Science and Engineering. 9(5). 490–490. 19 indexed citations

15.

Amini, Erfan, et al.. (2021). Comparative Study of Oscillating Surge Wave Energy Converter Performance: A Case Study for Southern Coasts of the Caspian Sea. Sustainability. 13(19). 10932–10932. 13 indexed citations

16.

Ceylan, Oğuzhan, Mehdi Neshat, & Seyedali Mirjalili. (2021). Cascaded H-bridge multilevel inverters optimization using adaptive grey wolf optimizer with local search. Electrical Engineering. 106(2). 1765–1779. 13 indexed citations

17.

Nezhad, Meysam Majidi, et al.. (2021). Ocean Wave Energy Converters Optimization: A Comprehensive Review on\n Research Directions. arXiv (Cornell University). 7 indexed citations

18.

Neshat, Mehdi, et al.. (2021). GTOPX space mission benchmarks. SoftwareX. 14. 100666–100666. 6 indexed citations

19.

Amini, Erfan, et al.. (2020). A Parametric Study of Wave Energy Converter Layouts in Real Wave Models. Energies. 13(22). 6095–6095. 18 indexed citations

20.

Neshat, Mehdi, et al.. (2011). A Comparative Study on ANFIS and Fuzzy Expert System Models for Concrete Mix Design. 21 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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