Natee Panagant

1.9k total citations · 1 hit paper
43 papers, 1.5k citations indexed

About

Natee Panagant is a scholar working on Computational Theory and Mathematics, Civil and Structural Engineering and Artificial Intelligence. According to data from OpenAlex, Natee Panagant has authored 43 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computational Theory and Mathematics, 20 papers in Civil and Structural Engineering and 19 papers in Artificial Intelligence. Recurrent topics in Natee Panagant's work include Advanced Multi-Objective Optimization Algorithms (37 papers), Metaheuristic Optimization Algorithms Research (18 papers) and Topology Optimization in Engineering (17 papers). Natee Panagant is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (37 papers), Metaheuristic Optimization Algorithms Research (18 papers) and Topology Optimization in Engineering (17 papers). Natee Panagant collaborates with scholars based in Thailand, Türkiye and Australia. Natee Panagant's co-authors include Sujin Bureerat, Ali Rıza Yıldız, Nantiwat Pholdee, Betül Sultan Yıldız, Sumit Kumar, Sadiq M. Sait, Seyedali Mirjalili, Pranav Mehta, Ghanshyam G. Tejani and Sadiq M. Sait and has published in prestigious journals such as Expert Systems with Applications, Energy and Knowledge-Based Systems.

In The Last Decade

Natee Panagant

41 papers receiving 1.5k 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.

A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems

2023 102 citations Betül Sultan Yıldız, Sumit Kumar et al. Knowledge-Based Systems profile →

Peers

Natee Panagant

CTM

CSE

IME

Sumit Kumar Australia

Pranav Mehta India

Ghanshyam G. Tejani India

Sadiq M. Sait Saudi Arabia

E. Damangir Iran

Armin Dadras Eslamlou Iran

Dexuan Zou China

Hammoudi Abderazek Algeria

V. Ho-Huu Vietnam

Karthik Sindhya Finland

Sumit Kumar Australia

Natee Panagant

874 ×1.4

853 ×1.3

CTM

495 ×1.3

CSE

311 ×1.1

228 ×1.1

IME

Citations per year, relative to Natee Panagant Natee Panagant (= 1×) peers Sumit Kumar

Countries citing papers authored by Natee Panagant

Since Specialization

Citations

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

Fields of papers citing papers by Natee Panagant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natee Panagant

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

Panagant, Natee, et al.. (2025). A Comparison of Modern Metaheuristics for Multi-Objective Optimization of Transonic Aeroelasticity in a Tow-Steered Composite Wing. Aerospace. 12(2). 101–101. 1 indexed citations

Kumar, Sumit, Natee Panagant, Ehsan Arzaghi, et al.. (2025). A multi-objective optimisation framework for a standalone hybrid offshore renewable energy system with electrical and hydrogen loads. Energy. 330. 136826–136826.

Panagant, Natee, et al.. (2025). Truss sizing optimization—gradient-based optimizers versus metaheuristics. Structural and Multidisciplinary Optimization. 68(7).

Panagant, Natee, Shubham Mahajan, Sadiq M. Sait, et al.. (2024). Multi-objective optimization of truss structures using the enhanced Lichtenberg algorithm. Materials Testing. 67(2). 297–312. 6 indexed citations

Panagant, Natee, et al.. (2023). Grid-based many-objective optimiser for aircraft conceptual design with multiple aircraft configurations. Engineering Applications of Artificial Intelligence. 126. 106951–106951. 34 indexed citations

Panagant, Natee, et al.. (2023). Simultaneous aerodynamic and structural optimisation of a low-speed horizontal-axis wind turbine blade using metaheuristic algorithms. Materials Testing. 65(5). 699–714. 14 indexed citations

Panagant, Natee, et al.. (2023). Comparative study of recent metaheuristics for solving a multiobjective transonic aeroelastic optimization of a composite wing. Acta Mechanica. 235(1). 391–407. 1 indexed citations

Panagant, Natee, Sumit Kumar, Ghanshyam G. Tejani, Nantiwat Pholdee, & Sujin Bureerat. (2023). Many‑objective meta-heuristic methods for solving constrained truss optimisation problems: A comparative analysis. MethodsX. 10. 102181–102181. 46 indexed citations

Panagant, Natee, Sujin Bureerat, Sumit Kumar, et al.. (2023). A Comparative Study of State-of-the-art Metaheuristics for Solving Many-objective Optimization Problems of Fixed Wing Unmanned Aerial Vehicle Conceptual Design. Archives of Computational Methods in Engineering. 30(6). 3657–3671. 73 indexed citations

10.

Yıldız, Betül Sultan, Sumit Kumar, Natee Panagant, et al.. (2023). A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems. Knowledge-Based Systems. 271. 110554–110554. 102 indexed citations breakdown →

11.

Mehta, Pranav, Betül Sultan Yıldız, Sumit Kumar, et al.. (2022). A Nelder Mead-infused INFO algorithm for optimization of mechanical design problems. Materials Testing. 64(8). 1172–1182. 27 indexed citations

12.

Kumar, Sumit, Betül Sultan Yıldız, Pranav Mehta, et al.. (2022). Chaotic marine predators algorithm for global optimization of real-world engineering problems. Knowledge-Based Systems. 261. 110192–110192. 116 indexed citations

13.

Panagant, Natee, et al.. (2022). Success history based adaptive multi-objective differential evolution variants with an interval scheme for solving simultaneous topology, shape and sizing truss reliability optimisation. Knowledge-Based Systems. 253. 109533–109533. 13 indexed citations

14.

Yıldız, Betül Sultan, Nantiwat Pholdee, Natee Panagant, et al.. (2021). A novel chaotic Henry gas solubility optimization algorithm for solving real-world engineering problems. Engineering With Computers. 38(S2). 871–883. 107 indexed citations

15.

Panagant, Natee, et al.. (2021). Hybridised differential evolution and equilibrium optimiser with learning parameters for mechanical and aircraft wing design. Knowledge-Based Systems. 239. 107955–107955. 10 indexed citations

16.

Panagant, Natee, Nantiwat Pholdee, Sujin Bureerat, Ali Rıza Yıldız, & Seyedali Mirjalili. (2021). A Comparative Study of Recent Multi-objective Metaheuristics for Solving Constrained Truss Optimisation Problems. Archives of Computational Methods in Engineering. 28(5). 4031–4047. 110 indexed citations

17.

Sleesongsom, Suwin, et al.. (2020). Surrogate-Assisted Reliability Optimisation of an Aircraft Wing with Static and Dynamic Aeroelastic Constraints. International Journal of Aeronautical and Space Sciences. 21(3). 723–732. 22 indexed citations

18.

Sleesongsom, Suwin, et al.. (2019). Synthesis of four-bar linkage motion generation using optimization algorithms. 4(3). 197–210. 5 indexed citations

19.

Sait, Sadiq M., et al.. (2019). Automated design of aircraft fuselage stiffeners using multiobjective evolutionary optimisation. International Journal of Vehicle Design. 80(2/3/4). 162–162. 12 indexed citations

20.

Panagant, Natee & Sujin Bureerat. (2014). Differential Evolution Algorithm for Solving a Nonlinear Single Pendulum Problem. Advanced materials research. 931-932. 1129–1133. 3 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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