Massimo Guiggiani

3.1k total citations · 1 hit paper
73 papers, 2.4k citations indexed

About

Massimo Guiggiani is a scholar working on Mechanical Engineering, Mechanics of Materials and Automotive Engineering. According to data from OpenAlex, Massimo Guiggiani has authored 73 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Mechanical Engineering, 29 papers in Mechanics of Materials and 16 papers in Automotive Engineering. Recurrent topics in Massimo Guiggiani's work include Gear and Bearing Dynamics Analysis (24 papers), Numerical methods in engineering (21 papers) and Mechanical Engineering and Vibrations Research (19 papers). Massimo Guiggiani is often cited by papers focused on Gear and Bearing Dynamics Analysis (24 papers), Numerical methods in engineering (21 papers) and Mechanical Engineering and Vibrations Research (19 papers). Massimo Guiggiani collaborates with scholars based in Italy, United States and France. Massimo Guiggiani's co-authors include Marco Gabiccini, Alessio Artoni, F. Rizzo, G. Krishnasamy, T. J. Rudolphi, Alejandro F. Frangi, Ahmet Kahraman, Francesca Di Puccio, Marc Bonnet and Francesco Frendo and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Applied Mechanics and International Journal for Numerical Methods in Engineering.

In The Last Decade

Massimo Guiggiani

71 papers receiving 2.3k citations

Hit Papers

A General Algorithm for t... 1992 2026 2003 2014 1992 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Massimo Guiggiani 1.3k 873 527 450 399 73 2.4k
Donald W. Kelly 1.9k 1.4× 513 0.6× 499 0.9× 125 0.3× 1.1k 2.6× 54 2.9k
G. R. Heppler 597 0.4× 458 0.5× 274 0.5× 254 0.6× 154 0.4× 121 2.0k
Peter Hagedorn 663 0.5× 747 0.9× 309 0.6× 81 0.2× 307 0.8× 112 2.1k
S.E. Khadem 868 0.7× 921 1.1× 350 0.7× 452 1.0× 414 1.0× 101 3.2k
Kaiping Yu 748 0.6× 1.0k 1.2× 436 0.8× 138 0.3× 448 1.1× 183 3.3k
Peter Hagedorn 348 0.3× 371 0.4× 122 0.2× 118 0.3× 253 0.6× 88 1.8k
Anooshiravan Farshidianfar 399 0.3× 748 0.9× 160 0.3× 141 0.3× 209 0.5× 79 1.9k
Jon Juel Thomsen 368 0.3× 368 0.4× 154 0.3× 155 0.3× 149 0.4× 74 1.5k
Clark R. Dohrmann 989 0.7× 225 0.3× 521 1.0× 189 0.4× 1.8k 4.5× 70 2.6k
Masataka TANAKA 1.2k 0.9× 258 0.3× 391 0.7× 241 0.5× 282 0.7× 127 1.6k

Countries citing papers authored by Massimo Guiggiani

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Guiggiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Guiggiani

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Guiggiani. A scholar is included among the top collaborators of Massimo Guiggiani 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 Massimo Guiggiani. Massimo Guiggiani 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.
Gabiccini, Marco, et al.. (2023). A reduced-order lie group-based race car model for systematic trajectory optimization on 3D tracks. Meccanica. 58(10). 1869–1883. 1 indexed citations
2.
Artoni, Alessio, Marco Gabiccini, Massimo Guiggiani, et al.. (2022). Friction-Induced Efficiency Losses and Wear Evolution in Hypoid Gears. Machines. 10(9). 748–748. 9 indexed citations
3.
Gabiccini, Marco, et al.. (2021). Analysis of driving styles of a GP2 car via minimum lap-time direct trajectory optimization. Multibody System Dynamics. 53(1). 85–113. 8 indexed citations
4.
Guiggiani, Massimo. (2018). The Science of Vehicle Dynamics. CINECA IRIS Institutial research information system (University of Pisa). 53 indexed citations
5.
Guiggiani, Massimo. (2014). The science of vehicle dynamics. CINECA IRIS Institutial research information system (University of Pisa). 30 indexed citations
6.
Guiggiani, Massimo. (2014). The Science of Vehicle Dynamics. 116 indexed citations
7.
Artoni, Alessio, et al.. (2013). Robust Optimization of Cylindrical Gear Tooth Surface Modifications Within Ranges of Torque and Misalignments. Journal of Mechanical Design. 135(12). 37 indexed citations
8.
Gabiccini, Marco, et al.. (2010). Robust Optimization of the Loaded Contact Pattern in Hypoid Gears With Uncertain Misalignments. Journal of Mechanical Design. 132(4). 78 indexed citations
9.
Artoni, Alessio, et al.. (2008). Optimization of the Loaded Contact Pattern in Hypoid Gears by Automatic Topography Modification. Journal of Mechanical Design. 131(1). 103 indexed citations
10.
Fantoni, Gualtiero, et al.. (2007). Kinematic analysis of a novel pin-wheel joint. Meccanica. 42(5). 495–502. 1 indexed citations
11.
Frendo, Francesco, et al.. (2005). Sviluppo di uno strumento di simulazione per la valutazione della maneggevolezza di veicoli a due ruote. CINECA IRIS Institutial research information system (University of Pisa). 1–12. 1 indexed citations
12.
Bonnet, Marc & Massimo Guiggiani. (2003). Direct evaluation of double singular integrals and new free terms in 2D (symmetric) Galerkin BEM. Computer Methods in Applied Mechanics and Engineering. 192(22-24). 2565–2596. 29 indexed citations
13.
Frangi, Alejandro F. & Massimo Guiggiani. (2001). Free Terms and Compatibility Conditions for 3D Hypersingular Boundary Integral Equations. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 81(10). 651–664. 19 indexed citations
14.
Frangi, Alejandro F. & Massimo Guiggiani. (1999). Boundary element analysis of Kirchhoff plates with direct evaluation of hypersingular integrals. International Journal for Numerical Methods in Engineering. 46(11). 1845–1863. 29 indexed citations
15.
Guiggiani, Massimo. (1998). Dinamica del veicolo. CINECA IRIS Institutial research information system (University of Pisa). 1–380. 12 indexed citations
16.
Guiggiani, Massimo. (1994). Hypersingular formulation for boundary stress evaluation. Engineering Analysis with Boundary Elements. 13(2). 169–179. 88 indexed citations
17.
Guiggiani, Massimo. (1991). The evaluation of cauchy principal value integrals in the boundary element method—a review. Mathematical and Computer Modelling. 15(3-5). 175–184. 50 indexed citations
18.
Guiggiani, Massimo. (1989). FLUID STRUCTURE INTERACTION AND BUCKLING OF HEMISPHERICAL SHELLS. CINECA IRIS Institutial research information system (University of Pisa). 27(3). 189–231. 1 indexed citations
19.
Guiggiani, Massimo, et al.. (1989). Rigid-body translation with curved boundary elements. Applied Mathematical Modelling. 13(6). 365–368. 5 indexed citations
20.
Guiggiani, Massimo, et al.. (1987). Dynamic behaviour and stability of thin hemispherical shells fluid-coupled with a vessel. 21(2). 117–133. 1 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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