Franco Magagnato

1.0k total citations
61 papers, 736 citations indexed

About

Franco Magagnato is a scholar working on Computational Mechanics, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, Franco Magagnato has authored 61 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computational Mechanics, 33 papers in Aerospace Engineering and 25 papers in Mechanical Engineering. Recurrent topics in Franco Magagnato's work include Fluid Dynamics and Turbulent Flows (25 papers), Heat Transfer Mechanisms (19 papers) and Turbomachinery Performance and Optimization (18 papers). Franco Magagnato is often cited by papers focused on Fluid Dynamics and Turbulent Flows (25 papers), Heat Transfer Mechanisms (19 papers) and Turbomachinery Performance and Optimization (18 papers). Franco Magagnato collaborates with scholars based in Germany, China and Iran. Franco Magagnato's co-authors include Bettina Frohnapfel, Pourya Forooghi, Amir F. Najafi, Suad Jakirlić, Alexander Stroh, Yigang Luan, Haiou Sun, Tobias M. Merz, Christian Greiner and Esra Sorgüven and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Applied Energy.

In The Last Decade

Franco Magagnato

56 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Franco Magagnato Germany 15 412 373 300 176 82 61 736
Sadek Z. Kassab Egypt 16 363 0.9× 331 0.9× 281 0.9× 132 0.8× 93 1.1× 51 821
Tom van Terwisga Netherlands 12 336 0.8× 199 0.5× 130 0.4× 443 2.5× 66 0.8× 35 629
Gorazd Medic United States 15 881 2.1× 325 0.9× 563 1.9× 45 0.3× 206 2.5× 47 1.1k
H. C. Chen United States 6 562 1.4× 194 0.5× 239 0.8× 63 0.4× 195 2.4× 8 770
B. R. Clayton United Kingdom 13 545 1.3× 233 0.6× 232 0.8× 89 0.5× 122 1.5× 44 802
Savas Yavuzkurt United States 15 642 1.6× 410 1.1× 421 1.4× 161 0.9× 140 1.7× 62 871
A. Pinarbasi Türkiye 15 415 1.0× 307 0.8× 223 0.7× 138 0.8× 45 0.5× 44 706
D. L. Rhode United States 17 392 1.0× 531 1.4× 422 1.4× 40 0.2× 93 1.1× 83 830
Nikolai Kornev Germany 17 791 1.9× 407 1.1× 344 1.1× 76 0.4× 179 2.2× 92 1.1k
Matthew Stickland United Kingdom 14 149 0.4× 354 0.9× 189 0.6× 206 1.2× 70 0.9× 50 612

Countries citing papers authored by Franco Magagnato

Since Specialization
Citations

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

Fields of papers citing papers by Franco Magagnato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franco Magagnato

This figure shows the co-authorship network connecting the top 25 collaborators of Franco Magagnato. A scholar is included among the top collaborators of Franco Magagnato 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 Franco Magagnato. Franco Magagnato 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.
Zhang, Limin, et al.. (2025). The application of arc vortex generator in film cooling and double wall cooling. International Journal of Heat and Mass Transfer. 253. 127545–127545.
2.
Fu, Hao, et al.. (2024). Experimental and numerical study on the effect mechanism of geometric parameters on jet impingement cooling in a limited space. International Journal of Thermal Sciences. 207. 109384–109384. 4 indexed citations
3.
Luan, Yigang, et al.. (2024). Effect of pore plugging on transpiration cooling performance implemented with perforated flat plates. International Communications in Heat and Mass Transfer. 159. 108248–108248. 5 indexed citations
4.
Fu, Hao, et al.. (2024). Multi-objective optimization of jet impingement cooling structure with smooth target surface and enhanced target surface in a limited space. International Communications in Heat and Mass Transfer. 159. 108192–108192. 1 indexed citations
5.
Zhang, Limin, et al.. (2024). The investigation of double wall cooling configuration with spherical cavity. International Communications in Heat and Mass Transfer. 159. 107960–107960. 3 indexed citations
6.
Luan, Yigang, et al.. (2023). Research for double wall cooling configuration with flower shaped ribs. International Journal of Thermal Sciences. 193. 108493–108493. 13 indexed citations
7.
Luan, Yigang, et al.. (2023). Numerical research for the influence of cylindrical ribs and inclined mainstream on double wall cooling configurations. International Journal of Thermal Sciences. 197. 108841–108841. 3 indexed citations
8.
Najafi, Amir F., et al.. (2023). Investigation of different deflector geometry and mechanism effect on the performance of an in-pipe hydro Savonius turbine. Applied Energy. 350. 121697–121697. 15 indexed citations
9.
Fu, Hao, et al.. (2023). Effects of the configuration of the delta winglet longitudinal vortex generators and channel height on flow and heat transfer in minichannels. Applied Thermal Engineering. 227. 120401–120401. 28 indexed citations
10.
Wang, Meng, Haiou Sun, Zhongyi Wang, et al.. (2020). Numerical investigation of the effects of system volume and average mass flow on the surge characteristics of an axial compressor. Aerospace Science and Technology. 106. 106172–106172. 8 indexed citations
11.
Kubach, Heiko, et al.. (2018). The influence of operating conditions on combustion chamber deposit surface structure, deposit thickness and thermal properties. Repository KITopen (Karlsruhe Institute of Technology). 3(3-4). 111–127. 9 indexed citations
12.
Forooghi, Pourya, Franco Magagnato, & Bettina Frohnapfel. (2018). REYNOLDS ANALOGY IN TURBULENT FLOWS OVER ROUGH WALLS - A DNS INVESTIGATION. International Heat Transfer Conference 16. 3215–3222. 1 indexed citations
13.
Hering, W., et al.. (2017). Thermo-hydraulic flow in a sudden expansion. IOP Conference Series Materials Science and Engineering. 228. 12001–12001. 6 indexed citations
14.
Magagnato, Franco, et al.. (2007). Generation of Inflow Conditions for Large-Eddy Simulation of Compressible Flows. 1 indexed citations
15.
Doerffer, Piotr, et al.. (2005). UNSTEADY SHOCK WAVE – TURBULENT BOUNDARY LAYER INTERACTION IN THE LAVAL NOZZLE. SHILAP Revista de lepidopterología. 4 indexed citations
16.
Magagnato, Franco, et al.. (2002). A New Adaptive Turbulence Model for Unsteady Flow Fields in Rotating Machinery. International Journal of Rotating Machinery. 8(3). 175–183. 6 indexed citations
17.
Doerffer, Piotr, et al.. (2001). Flow simulation at shock wave triple point. SHILAP Revista de lepidopterología. 549–556.
18.
Magagnato, Franco. (2001). THE MODELING OF UNSTEADY TURBULENT FLOWS IN TURBOMACHINES. SHILAP Revista de lepidopterología. 2 indexed citations
19.
Doerffer, Piotr, et al.. (2001). Numerical investigation of the secondary flow development in turbine cascade. SHILAP Revista de lepidopterología. 165–178. 3 indexed citations
20.
Magagnato, Franco. (1998). KAPPA - Karlsruhe Parallel Program for Aerodynamics. SHILAP Revista de lepidopterología. 215–270. 19 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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