Hakan Aygün

710 total citations
49 papers, 494 citations indexed

About

Hakan Aygün is a scholar working on Global and Planetary Change, Mechanical Engineering and Aerospace Engineering. According to data from OpenAlex, Hakan Aygün has authored 49 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Global and Planetary Change, 25 papers in Mechanical Engineering and 16 papers in Aerospace Engineering. Recurrent topics in Hakan Aygün's work include Advanced Aircraft Design and Technologies (41 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (24 papers) and Rocket and propulsion systems research (13 papers). Hakan Aygün is often cited by papers focused on Advanced Aircraft Design and Technologies (41 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (24 papers) and Rocket and propulsion systems research (13 papers). Hakan Aygün collaborates with scholars based in Türkiye, China and Canada. Hakan Aygün's co-authors include Önder Turan, Hakan Çalışkan, Suat Toraman, İsmail Ekmekçi, Ulaş Kılıç, Özgür Ballı, Onur Yüksel, N. Kucuk and Ayşegül Yıldız and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Energy Conversion and Management.

In The Last Decade

Hakan Aygün

44 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hakan Aygün Türkiye 13 296 204 176 147 82 49 494
Ali Dinç Kuwait 13 215 0.7× 176 0.9× 169 1.0× 106 0.7× 103 1.3× 37 411
W. P. J. Visser Netherlands 12 176 0.6× 203 1.0× 126 0.7× 141 1.0× 63 0.8× 32 451
Philip P. Walsh United Kingdom 4 344 1.2× 424 2.1× 210 1.2× 186 1.3× 71 0.9× 4 705
Andrew Rolt United Kingdom 18 330 1.1× 429 2.1× 303 1.7× 190 1.3× 62 0.8× 46 741
Georgios Doulgeris United Kingdom 10 282 1.0× 272 1.3× 85 0.5× 77 0.5× 93 1.1× 26 499
Benjamin J. Brelje United States 7 414 1.4× 303 1.5× 47 0.3× 89 0.6× 146 1.8× 10 556
Christopher Perullo United States 14 319 1.1× 227 1.1× 56 0.3× 106 0.7× 124 1.5× 45 449
Jeffryes W. Chapman United States 13 291 1.0× 269 1.3× 66 0.4× 134 0.9× 102 1.2× 46 486
Cleverson Bringhenti Brazil 12 101 0.3× 218 1.1× 221 1.3× 56 0.4× 21 0.3× 73 456

Countries citing papers authored by Hakan Aygün

Since Specialization
Citations

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

Fields of papers citing papers by Hakan Aygün

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hakan Aygün

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

All Works

20 of 20 papers shown
1.
Toraman, Suat, et al.. (2025). Prediction of noise of commercial aircraft based on itself specifications by using machine learning methods. Journal of Air Transport Management. 125. 102779–102779. 2 indexed citations
2.
3.
Aygün, Hakan, et al.. (2025). Modeling of energy and emission metrics of a turboshaft engine with hybrid algorithm involving machine learning and metaheuristic approaches. Journal of Thermal Analysis and Calorimetry. 150(17). 13473–13488.
4.
Aygün, Hakan & Önder Turan. (2025). Entropy and exergetic metrics for three spool turbofan engine with the aid of design parameters. Energy. 321. 135508–135508.
5.
Aygün, Hakan, et al.. (2024). Stage-based exergy analysis for a modern turboprop engine under various loading. Energy. 308. 132854–132854. 1 indexed citations
6.
Aygün, Hakan, et al.. (2024). Thermodynamics, Environmental and Sustainability Impacts of a Turbofan Engine Under Different Design Conditions Considering Variable Needs in the Aviation Industry. SHILAP Revista de lepidopterología. 8(2). 2300205–2300205. 10 indexed citations
7.
Toraman, Suat, et al.. (2024). Machine learning application to forecasting performance and thermodynamics parameters of small turbojet engine. Journal of Thermal Analysis and Calorimetry. 150(1). 505–519. 1 indexed citations
8.
Aygün, Hakan, et al.. (2024). Prediction of performance characteristics of an experimental micro turbojet engine using machine learning approaches. Energy. 313. 133997–133997. 5 indexed citations
9.
Aygün, Hakan, et al.. (2023). Performance and energy analysis of turboprop engine for air freighter aircraft with the aid of multiple regression. Energy. 283. 129084–129084. 5 indexed citations
10.
Aygün, Hakan, et al.. (2023). Multi-objective optimization of a small turbojet engine energetic performance. Energy. 271. 126983–126983. 13 indexed citations
11.
Aygün, Hakan, et al.. (2023). Machine learning based approach for forecasting emission parameters of mixed flow turbofan engine at high power modes. Energy. 271. 127026–127026. 23 indexed citations
12.
Aygün, Hakan. (2023). Optimization of energy and exergy parameters for a conceptual after burning turbojet engine. Journal of Thermal Engineering. 9(1). 69–85.
13.
Aygün, Hakan, et al.. (2023). Optimized modeling of energy and environmental metrics of mixed flow turbofan engine used regional aircraft. Journal of Thermal Analysis and Calorimetry. 148(10). 4495–4511. 4 indexed citations
14.
Toraman, Suat, et al.. (2022). Deep learning approach for prediction of exergy and emission parameters of commercial high by-pass turbofan engines. Environmental Science and Pollution Research. 30(10). 27539–27559. 10 indexed citations
15.
16.
Toraman, Suat, et al.. (2022). Modeling of performance and thermodynamic metrics of a conceptual turboprop engine by comparing different machine learning approaches. International Journal of Energy Research. 46(15). 21084–21103. 8 indexed citations
17.
Aygün, Hakan & Önder Turan. (2022). Analysis of cruise conditions on energy, exergy and NOx emission parameters of a turbofan engine for middle-range aircraft. Energy. 267. 126468–126468. 14 indexed citations
18.
Aygün, Hakan, et al.. (2021). Parametric Study on Exergy and NOxMetrics of Turbofan Engine Under Different Design Variables. Journal of Energy Resources Technology. 144(6). 5 indexed citations
19.
Ballı, Özgür, Hakan Aygün, & Önder Turan. (2021). Enhanced dynamic exergy analysis of a micro-jet (μ-jet) engine at various modes. Energy. 239. 121911–121911. 8 indexed citations
20.
Aygün, Hakan & Önder Turan. (2021). Exergo-economic analysis of off-design a target drone engine for reconnaissance mission flight. Energy. 224. 120227–120227. 5 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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