Federico Mazzelli

703 total citations
22 papers, 587 citations indexed

About

Federico Mazzelli is a scholar working on Mechanical Engineering, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, Federico Mazzelli has authored 22 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanical Engineering, 8 papers in Biomedical Engineering and 5 papers in Computational Mechanics. Recurrent topics in Federico Mazzelli's work include Refrigeration and Air Conditioning Technologies (18 papers), Advanced Thermodynamic Systems and Engines (8 papers) and Heat Transfer and Optimization (7 papers). Federico Mazzelli is often cited by papers focused on Refrigeration and Air Conditioning Technologies (18 papers), Advanced Thermodynamic Systems and Engines (8 papers) and Heat Transfer and Optimization (7 papers). Federico Mazzelli collaborates with scholars based in Italy, United States and Norway. Federico Mazzelli's co-authors include Adriano Milazzo, Srinivas Garimella, Yann Bartosiewicz, Adrienne B. Little, Giuseppe Grazzini, Krzysztof Banasiak, Armin Hafner, Andrea Rocchetti and David Buttsworth and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Energy and Applied Thermal Engineering.

In The Last Decade

Federico Mazzelli

22 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federico Mazzelli Italy 14 514 267 129 71 35 22 587
Zeng-Yuan Guo China 5 333 0.6× 182 0.7× 40 0.3× 109 1.5× 17 0.5× 8 447
Andrea Spinelli Italy 16 217 0.4× 97 0.4× 161 1.2× 371 5.2× 7 0.2× 48 597
Naihua Wang China 14 278 0.5× 86 0.3× 136 1.1× 145 2.0× 7 0.2× 49 458
H. Rieger Germany 7 171 0.3× 141 0.5× 56 0.4× 241 3.4× 9 0.3× 18 387
Hang Zhao China 12 232 0.5× 54 0.2× 172 1.3× 142 2.0× 6 0.2× 24 374
Jae Ryong Lee South Korea 12 230 0.4× 361 1.4× 149 1.2× 390 5.5× 12 0.3× 29 604
Xiaoyong Yang China 12 195 0.4× 98 0.4× 171 1.3× 100 1.4× 5 0.1× 52 389
A.I. Tyrinov Ukraine 15 222 0.4× 245 0.9× 51 0.4× 340 4.8× 5 0.1× 42 443
Н. И. Печеркин Russia 14 285 0.6× 87 0.3× 42 0.3× 299 4.2× 8 0.2× 55 477

Countries citing papers authored by Federico Mazzelli

Since Specialization
Citations

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

Fields of papers citing papers by Federico Mazzelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Mazzelli

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Mazzelli. A scholar is included among the top collaborators of Federico Mazzelli 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 Federico Mazzelli. Federico Mazzelli 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.
Mazzelli, Federico, et al.. (2020). A heat-powered ejector chiller working with low-GWP fluid R1233zd(E) (Part2: Numerical analysis). International Journal of Refrigeration. 121. 216–227. 13 indexed citations
2.
Rocchetti, Andrea, et al.. (2020). A heat-powered ejector chiller working with low-GWP fluid R1233zd(E) (Part 1: Experimental results). International Journal of Refrigeration. 121. 1–9. 8 indexed citations
3.
Mazzelli, Federico, et al.. (2020). Experimental and numerical activity on a prototype ejector chiller. Journal of Physics Conference Series. 1599(1). 12056–12056. 2 indexed citations
4.
Mazzelli, Federico, et al.. (2020). Experimental investigation of carbon dioxide flow boiling in a single microchannel. International Journal of Heat and Mass Transfer. 159. 120100–120100. 14 indexed citations
5.
Mazzelli, Federico, et al.. (2019). Experimental and computational analysis of a R744 flashing ejector. International Journal of Refrigeration. 107. 326–343. 43 indexed citations
6.
Mazzelli, Federico, et al.. (2018). A novel CFD approach for the computation of R744 flashing nozzles in compressible and metastable conditions. Energy. 162. 1092–1105. 48 indexed citations
7.
Grazzini, Giuseppe, Adriano Milazzo, & Federico Mazzelli. (2018). Ejectors for Efficient Refrigeration. 28 indexed citations
8.
Mazzelli, Federico, et al.. (2018). CFD modeling of condensing steam ejectors: Comparison with an experimental test-case. International Journal of Thermal Sciences. 127. 7–18. 68 indexed citations
9.
Grazzini, Giuseppe, Adriano Milazzo, & Federico Mazzelli. (2018). Ejectors for Efficient Refrigeration: Design, Applications and Computational Fluid Dynamics. Florence Research (University of Florence). 25 indexed citations
10.
Milazzo, Adriano & Federico Mazzelli. (2017). Future perspectives in ejector refrigeration. Applied Thermal Engineering. 121. 344–350. 29 indexed citations
11.
Mazzelli, Federico, et al.. (2017). CFD modelling of the condensation inside a cascade of steam turbine blades: comparison with an experimental test case. Energy Procedia. 126. 730–737. 14 indexed citations
12.
Mazzelli, Federico, et al.. (2017). The surface roughness effect on the performance of supersonic ejectors. Thermophysics and Aeromechanics. 24(4). 553–561. 15 indexed citations
13.
Mazzelli, Federico, et al.. (2016). CFD Modeling of the Supersonic Condensation Inside a Steam Ejector. Energy Procedia. 101. 1224–1231. 33 indexed citations
14.
Grazzini, Giuseppe, Federico Mazzelli, & Adriano Milazzo. (2016). Constructal design of the mixing zone inside a supersonic ejector. International Journal of Heat and Technology. 34(Special Issue 1). S109–S118. 2 indexed citations
15.
Mazzelli, Federico, et al.. (2016). CFD Modeling of High-Speed Condensation in Supersonic Nozzles, Part II: R134a. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 344–347. 1 indexed citations
16.
Mazzelli, Federico. (2016). Single & Two-Phase Supersonic Ejectors for Refrigeration Applications. 1 indexed citations
17.
Mazzelli, Federico, et al.. (2016). CFD Modelling of the Condensation Inside a Supersonic Ejector Working with R134a. Energy Procedia. 101. 1232–1239. 7 indexed citations
18.
Grazzini, Giuseppe, Federico Mazzelli, & Adriano Milazzo. (2016). Constructal design of the mixing zone inside a supersonic ejector. International Journal of Heat and Technology. 34(S1). S109–S118. 5 indexed citations
19.
Mazzelli, Federico, Adrienne B. Little, Srinivas Garimella, & Yann Bartosiewicz. (2015). Computational and experimental analysis of supersonic air ejector: Turbulence modeling and assessment of 3D effects. International Journal of Heat and Fluid Flow. 56. 305–316. 120 indexed citations
20.
Mazzelli, Federico & Adriano Milazzo. (2014). Performance analysis of a supersonic ejector cycle working with R245fa. International Journal of Refrigeration. 49. 79–92. 87 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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