Pietro Bortolotti

2.0k total citations
48 papers, 432 citations indexed

About

Pietro Bortolotti is a scholar working on Aerospace Engineering, Environmental Engineering and Computational Mechanics. According to data from OpenAlex, Pietro Bortolotti has authored 48 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Aerospace Engineering, 27 papers in Environmental Engineering and 17 papers in Computational Mechanics. Recurrent topics in Pietro Bortolotti's work include Wind Energy Research and Development (37 papers), Wind and Air Flow Studies (26 papers) and Fluid Dynamics and Vibration Analysis (12 papers). Pietro Bortolotti is often cited by papers focused on Wind Energy Research and Development (37 papers), Wind and Air Flow Studies (26 papers) and Fluid Dynamics and Vibration Analysis (12 papers). Pietro Bortolotti collaborates with scholars based in United States, Germany and Italy. Pietro Bortolotti's co-authors include Carlo L. Bottasso, Alessandro Croce, Garrett Barter, Nick Johnson, Daniel Zalkind, Jonathan Keller, Latha Sethuraman, Roland Feil, D.A. Torrey and Nikhar Abbas and has published in prestigious journals such as Applied Energy, Nature Energy and Composite Structures.

In The Last Decade

Pietro Bortolotti

48 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pietro Bortolotti United States 12 302 141 120 64 59 48 432
Mayank Chetan United States 12 264 0.9× 110 0.8× 139 1.2× 37 0.6× 56 0.9× 30 349
Robert Bitsche Denmark 10 242 0.8× 101 0.7× 134 1.1× 110 1.7× 78 1.3× 24 565
Kevin Jackson United States 5 220 0.7× 90 0.6× 84 0.7× 16 0.3× 62 1.1× 5 335
Fanzhong Meng Denmark 10 152 0.5× 68 0.5× 58 0.5× 29 0.5× 111 1.9× 43 346
Bofeng Xu China 12 233 0.8× 103 0.7× 121 1.0× 41 0.6× 51 0.9× 33 357
Karam Y. Maalawi Egypt 13 225 0.7× 109 0.8× 76 0.6× 20 0.3× 111 1.9× 25 482
Jeroen van Dam United States 12 391 1.3× 222 1.6× 127 1.1× 16 0.3× 79 1.3× 23 551
David J. Malcolm Canada 11 246 0.8× 121 0.9× 102 0.8× 41 0.6× 131 2.2× 38 482
Craig Meskell Ireland 15 154 0.5× 170 1.2× 360 3.0× 104 1.6× 153 2.6× 54 562
Gunjit Bir United States 11 427 1.4× 88 0.6× 188 1.6× 98 1.5× 246 4.2× 29 584

Countries citing papers authored by Pietro Bortolotti

Since Specialization
Citations

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

Fields of papers citing papers by Pietro Bortolotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pietro Bortolotti

This figure shows the co-authorship network connecting the top 25 collaborators of Pietro Bortolotti. A scholar is included among the top collaborators of Pietro Bortolotti 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 Pietro Bortolotti. Pietro Bortolotti 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.
Brown, Kenneth, Pietro Bortolotti, Emmanuel Branlard, et al.. (2024). One-to-one aeroservoelastic validation of operational loads and performance of a 2.8 MW wind turbine model in OpenFAST. Wind energy science. 9(8). 1791–1810. 3 indexed citations
2.
Doubrawa, Paula, et al.. (2024). Validation of new and existing methods for time-domain simulations of turbulence and loads. Journal of Physics Conference Series. 2767(5). 52057–52057. 1 indexed citations
3.
Vijayakumar, Ganesh, et al.. (2024). Aerodynamic and production comparison of wind farms with downwind versus conventional upwind turbines. Journal of Physics Conference Series. 2767(9). 92008–92008. 1 indexed citations
4.
Bertagnolio, Franck, Andreas Fischer, Christina Appel, et al.. (2023). Wind turbine noise code benchmark: A comparison and verification exercise. TNO Repository. 2 indexed citations
5.
Bortolotti, Pietro, et al.. (2023). Toward the Advanced Manufacturing of Land-Based Wind Turbine Blades. AIAA SCITECH 2023 Forum. 5 indexed citations
6.
Barter, Garrett, Latha Sethuraman, Pietro Bortolotti, Jonathan Keller, & D.A. Torrey. (2023). Beyond 15 MW: A cost of energy perspective on the next generation of drivetrain technologies for offshore wind turbines. Applied Energy. 344. 121272–121272. 32 indexed citations
7.
Bortolotti, Pietro, et al.. (2022). Land-based wind turbines with flexible rail-transportable blades – Part 2: 3D finite element design optimization of the rotor blades. Wind energy science. 7(1). 19–35. 11 indexed citations
8.
Jasa, John, Pietro Bortolotti, Daniel Zalkind, & Garrett Barter. (2022). Effectively using multifidelity optimization for wind turbine design. Wind energy science. 7(3). 991–1006. 13 indexed citations
9.
Anderson, Benjamin, Pietro Bortolotti, & Nick Johnson. (2022). Development of an open-source segmented blade design tool. Journal of Physics Conference Series. 2265(3). 32023–32023. 3 indexed citations
10.
Jasa, John, Pietro Bortolotti, Daniel Zalkind, & Garrett Barter. (2021). Effectively using multifidelity optimization for wind turbine design. 4 indexed citations
11.
12.
Bortolotti, Pietro, et al.. (2021). On the scaling of wind turbine rotors. Wind energy science. 6(3). 601–626. 27 indexed citations
13.
Bortolotti, Pietro, et al.. (2021). Land-based wind turbines with flexible rail-transportable blades – Part 1: Conceptual design and aeroservoelastic performance. Wind energy science. 6(5). 1277–1290. 17 indexed citations
14.
Bortolotti, Pietro, et al.. (2020). An efficient approach to explore the solution space of a wind turbine rotor design process. Journal of Physics Conference Series. 1618(4). 42016–42016. 6 indexed citations
15.
Feil, Roland, et al.. (2020). A cross-sectional aeroelastic analysis and structural optimization tool for slender composite structures. Composite Structures. 253. 112755–112755. 15 indexed citations
16.
Bortolotti, Pietro, et al.. (2019). Performance of non-intrusive uncertainty quantification in the aeroservoelastic simulation of wind turbines. Wind energy science. 4(3). 397–406. 11 indexed citations
17.
Bortolotti, Pietro, et al.. (2019). Comparison between upwind and downwind designs of a 10 MW wind turbine rotor. Wind energy science. 4(1). 115–125. 13 indexed citations
18.
Bortolotti, Pietro, et al.. (2018). Gravo-aeroelastic scaling of very large wind turbines to wind tunnel size. Journal of Physics Conference Series. 1037. 42006–42006. 10 indexed citations
19.
Bortolotti, Pietro, Carlo L. Bottasso, & Alessandro Croce. (2016). Combined preliminary–detailed design of wind turbines. Wind energy science. 1(1). 71–88. 65 indexed citations
20.
Bortolotti, Pietro, et al.. (2016). Integration of prebend optimization in a holistic wind turbine design tool. Journal of Physics Conference Series. 753. 62006–62006. 6 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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