Kaveh Ghorbanian

770 total citations
49 papers, 605 citations indexed

About

Kaveh Ghorbanian is a scholar working on Aerospace Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Kaveh Ghorbanian has authored 49 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Aerospace Engineering, 24 papers in Computational Mechanics and 20 papers in Mechanical Engineering. Recurrent topics in Kaveh Ghorbanian's work include Fluid Dynamics and Turbulent Flows (14 papers), Turbomachinery Performance and Optimization (12 papers) and Refrigeration and Air Conditioning Technologies (10 papers). Kaveh Ghorbanian is often cited by papers focused on Fluid Dynamics and Turbulent Flows (14 papers), Turbomachinery Performance and Optimization (12 papers) and Refrigeration and Air Conditioning Technologies (10 papers). Kaveh Ghorbanian collaborates with scholars based in Iran, United Kingdom and United States. Kaveh Ghorbanian's co-authors include James D. Sterling, Bijan Farhanieh, P. C. Ivey, Joao A. Teixeira, M. R. Soltani, Mohammad Reza Morad, Mehdi Ashjaee, Mohammad Reza Soltani, Mohsen Karimi and Mojtaba Dehghan Manshadi and has published in prestigious journals such as Applied Energy, The Journal of the Acoustical Society of America and Applied Thermal Engineering.

In The Last Decade

Kaveh Ghorbanian

48 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaveh Ghorbanian Iran 14 369 273 242 70 47 49 605
Nicolas Gourdain France 19 880 2.4× 327 1.2× 898 3.7× 54 0.8× 32 0.7× 79 1.2k
Ihor S. Diakunchak United States 8 198 0.5× 175 0.6× 107 0.4× 67 1.0× 12 0.3× 24 428
Philip P. Walsh United Kingdom 4 424 1.1× 210 0.8× 161 0.7× 26 0.4× 12 0.3× 4 705
Tom Verstraete Belgium 19 838 2.3× 693 2.5× 621 2.6× 120 1.7× 12 0.3× 108 1.3k
Abhijit Kushari India 16 282 0.8× 87 0.3× 508 2.1× 31 0.4× 50 1.1× 106 735
Valerio D’Alessandro Italy 17 480 1.3× 167 0.6× 481 2.0× 45 0.6× 18 0.4× 57 997
Paul Fletcher United Kingdom 4 424 1.1× 205 0.8× 159 0.7× 26 0.4× 11 0.2× 10 712
Dong Yang China 17 245 0.7× 96 0.4× 481 2.0× 51 0.7× 74 1.6× 62 732
Xingyun Jia China 15 158 0.4× 243 0.9× 99 0.4× 55 0.8× 13 0.3× 48 514
Abdelkader Frendi United States 14 383 1.0× 40 0.1× 446 1.8× 36 0.5× 50 1.1× 70 652

Countries citing papers authored by Kaveh Ghorbanian

Since Specialization
Citations

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

Fields of papers citing papers by Kaveh Ghorbanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaveh Ghorbanian

This figure shows the co-authorship network connecting the top 25 collaborators of Kaveh Ghorbanian. A scholar is included among the top collaborators of Kaveh Ghorbanian 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 Kaveh Ghorbanian. Kaveh Ghorbanian 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.
Ghorbanian, Kaveh, et al.. (2019). Experimental Investigation on Acoustic Wave Generation due to Supersonic Hot Jet Impingement on an Inclined Flat Plate. Journal of Applied Fluid Mechanics. 12(4). 1063–1072. 3 indexed citations
2.
Ghorbanian, Kaveh, et al.. (2016). Thermal Analysis of Shell-and-Tube Thermoacoustic Heat Exchangers. Entropy. 18(8). 301–301. 6 indexed citations
3.
Ghorbanian, Kaveh & Mohsen Karimi. (2014). Thermodynamic analysis of a hybrid gas turbine/thermoacoustic heat pump/refrigeration engine. International Journal of Exergy. 15(2). 152–152. 2 indexed citations
4.
Karimi, Mohsen & Kaveh Ghorbanian. (2013). Design and optimization of a cascade thermoacoustic Stirling engine. Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy. 227(7). 814–824. 1 indexed citations
5.
Soltani, M. R., et al.. (2010). APPLICATION OF SCREENS AND TRIPS IN ENHANCEMENT OF FLOW CHARACTERISTICS IN SUBSONIC WIND TUNNELS. Scientia Iranica. 17(1). 1–12. 2 indexed citations
6.
Ghorbanian, Kaveh, et al.. (2009). Compressor map generation using a feed-forward neural network and rig data. Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy. 224(1). 97–108. 24 indexed citations
7.
Ghorbanian, Kaveh, et al.. (2009). Control of separation in the concave portion of contraction to improve the flow quality. The Aeronautical Journal. 113(1141). 177–182. 2 indexed citations
8.
Manshadi, Mojtaba Dehghan, Mehran Mirzaei, M. R. Soltani, & Kaveh Ghorbanian. (2008). Control of Pressure Gradient in the Contraction of a Wind Tunnel. World Academy of Science, Engineering and Technology, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering. 2(4). 441–446. 5 indexed citations
9.
Ghorbanian, Kaveh, Mohammad Reza Soltani, Mehdi Ashjaee, & Mohammad Reza Morad. (2008). Liquid‐Liquid Coaxial Swirl Injector Performance Prediction Using General Regression Neural Network. Particle & Particle Systems Characterization. 25(5-6). 454–464. 1 indexed citations
10.
Ghorbanian, Kaveh, et al.. (2008). An artificial neural network approach to compressor performance prediction. Applied Energy. 86(7-8). 1210–1221. 130 indexed citations
11.
Ghorbanian, Kaveh, et al.. (2007). Axial Compressor Performance Map Prediction Using Artificial Neural Network. 1199–1208. 23 indexed citations
12.
Soltani, M. R., et al.. (2007). Unsteady Three Dimensional Aerodynamic Load Prediction Using Neural Networks. IEEE International Conference on Neural Networks. 1995–1999. 5 indexed citations
13.
Soltani, Mohammad Reza, et al.. (2006). Experimental Study of Vortex Shapes behind a Wing Equipped with Different Winglets. 3(1). 1–15. 5 indexed citations
14.
Ghorbanian, Kaveh, et al.. (2005). Neural Network Prediction of a Liquid-Liquid Coaxial Swirl Injector Performance Map. 43rd AIAA Aerospace Sciences Meeting and Exhibit. 3 indexed citations
15.
Farhanieh, Bijan, et al.. (2005). Performance and Stability Enhancement of NASA Rotor 37 Applying Abradable Coating. 93–102. 3 indexed citations
16.
Soltani, Mohammad Reza, et al.. (2004). Flow Analysis over and Behind a Wing with Different Winglet Shapes. 42nd AIAA Aerospace Sciences Meeting and Exhibit. 1 indexed citations
17.
Ghorbanian, Kaveh, et al.. (2003). Experimental Flow Visualization of Single Swirl Spray Pattern at Various Pressure Drops. 39th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit. 14 indexed citations
18.
Ghorbanian, Kaveh & James D. Sterling. (1995). Detonation initiation on a wedge in a supersonic reacting flow. 31st Joint Propulsion Conference and Exhibit. 2 indexed citations
19.
Sterling, James D., et al.. (1995). Numerical investigations of pulse detonation wave engines. 31st Joint Propulsion Conference and Exhibit. 18 indexed citations
20.
Ghorbanian, Kaveh, et al.. (1993). An estimate of the 'doomed propellant fraction' for a Superdetonative Ram Accelerator. 31st Aerospace Sciences Meeting. 2 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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