G. Petrucci

1.6k total citations
41 papers, 1.2k citations indexed

About

G. Petrucci is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, G. Petrucci has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 16 papers in Mechanical Engineering and 12 papers in Civil and Structural Engineering. Recurrent topics in G. Petrucci's work include Optical measurement and interference techniques (18 papers), Structural Health Monitoring Techniques (11 papers) and Welding Techniques and Residual Stresses (7 papers). G. Petrucci is often cited by papers focused on Optical measurement and interference techniques (18 papers), Structural Health Monitoring Techniques (11 papers) and Welding Techniques and Residual Stresses (7 papers). G. Petrucci collaborates with scholars based in Italy, United States and Canada. G. Petrucci's co-authors include A. Ajovalasit, Sandro Barone, B. Zuccarello, Michele Scafidi, Khaled El-Maleh, P. Kabal, Mario Di Paola, Francesco Lopresti, Giada Lo Re and Roberto Scaffaro and has published in prestigious journals such as Journal of Applied Mechanics, Applied Sciences and International Journal of Fatigue.

In The Last Decade

G. Petrucci

39 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Petrucci Italy 22 576 353 351 310 210 41 1.2k
Emanuele Zappa Italy 22 820 1.4× 299 0.8× 716 2.0× 204 0.7× 123 0.6× 141 1.7k
Matteo Mazzotti Italy 22 157 0.3× 222 0.6× 323 0.9× 374 1.2× 380 1.8× 82 1.3k
Nicola Paone Italy 17 228 0.4× 321 0.9× 268 0.8× 263 0.8× 261 1.2× 111 1.3k
Ziyi Shen China 18 566 1.0× 229 0.6× 50 0.1× 237 0.8× 148 0.7× 45 1.2k
Mathias Kersemans Belgium 26 189 0.3× 605 1.7× 622 1.8× 1.3k 4.2× 352 1.7× 128 1.8k
Cesar A. Sciammarella United States 20 651 1.1× 593 1.7× 283 0.8× 342 1.1× 156 0.7× 116 1.3k
Marco Sasso Italy 19 110 0.2× 548 1.6× 278 0.8× 494 1.6× 348 1.7× 64 1.2k
Murat Tahtalı Australia 13 292 0.5× 83 0.2× 153 0.4× 123 0.4× 90 0.4× 90 666
Ming Yin China 21 241 0.4× 421 1.2× 66 0.2× 59 0.2× 228 1.1× 52 1.1k
Xiaoyuan He China 24 1.3k 2.2× 401 1.1× 383 1.1× 211 0.7× 153 0.7× 87 1.7k

Countries citing papers authored by G. Petrucci

Since Specialization
Citations

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

Fields of papers citing papers by G. Petrucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Petrucci

This figure shows the co-authorship network connecting the top 25 collaborators of G. Petrucci. A scholar is included among the top collaborators of G. Petrucci 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 G. Petrucci. G. Petrucci 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.
Ingrassia, Tommaso, et al.. (2024). A New Automatic Process Based on Generative Design for CAD Modeling and Manufacturing of Customized Orthosis. Applied Sciences. 14(14). 6231–6231. 3 indexed citations
2.
Comelli, Albert, Navdeep Dahiya, Alessandro Stefano, et al.. (2020). Deep learning approach for the segmentation of aneurysmal ascending aorta. Biomedical Engineering Letters. 11(1). 15–24. 43 indexed citations
3.
Comelli, Albert, Alessandro Stefano, G. Russo, et al.. (2019). K-nearest neighbor driving active contours to delineate biological tumor volumes. Engineering Applications of Artificial Intelligence. 81. 133–144. 25 indexed citations
4.
Licari, Leo, Giuseppe Salamone, Sofia Campanella, et al.. (2019). Use of the KSVM-based system for the definition, validation and identification of the incisional hernia recurrence risk factors.. PubMed. 40(1). 32–38. 7 indexed citations
5.
Comelli, Albert, Alessandro Stefano, G. Russo, et al.. (2018). A smart and operator independent system to delineate tumours in Positron Emission Tomography scans. Computers in Biology and Medicine. 102. 1–15. 22 indexed citations
6.
Re, Giada Lo, Francesco Lopresti, G. Petrucci, & Roberto Scaffaro. (2015). A facile method to determine pore size distribution in porous scaffold by using image processing. Micron. 76. 37–45. 57 indexed citations
8.
Hohenstein, Ursula Thun, et al.. (2012). La gestione delle risorse animali in un sito del Neolitico antico: risultati preliminari dello studio archeozoologico delle faune di Casalecchio di Reno (Bologna).. 163–166. 1 indexed citations
9.
Ajovalasit, A., G. Petrucci, & Michele Scafidi. (2011). Photoelastic Analysis of Edge Residual Stresses in Glass by Automated “Test Fringes” Methods. Experimental Mechanics. 52(8). 1057–1066. 21 indexed citations
10.
Petrucci, G. & Michele Scafidi. (2010). A New Procedure for the Evaluation of Non-Uniform Residual Stresses by the Hole Drilling Method Based on the Newton-Raphson Technique. Experimental Mechanics. 51(7). 1039–1052. 3 indexed citations
11.
Ajovalasit, A., G. Petrucci, & Michele Scafidi. (2010). RGB Photoelasticity: Review and Improvements. Strain. 46(2). 137–147. 48 indexed citations
12.
Petrucci, G. & Michele Scafidi. (2008). S104 A New Procedure for the Evaluation of Residual Stresses by the Hole Drilling Method Based on Newton-Raphson Technique. Powder Diffraction. 23(2). 184–184. 1 indexed citations
13.
Petrucci, G.. (2007). Lezioni di costruzione di macchine. Nova Science Publishers (Nova Science Publishers, Inc.). 1–218.
14.
Ajovalasit, A., Sandro Barone, G. Petrucci, & B. Zuccarello. (2002). The influence of the quarter wave plates in automated photoelasticity. Optics and Lasers in Engineering. 38(1-2). 31–56. 21 indexed citations
15.
Barone, Sandro, Gaetano Burriesci, & G. Petrucci. (2002). Computer aided photoelasticity by an optimum phase stepping method. Experimental Mechanics. 42(2). 132–139. 42 indexed citations
16.
El-Maleh, Khaled, et al.. (2002). Speech/music discrimination for multimedia applications. 4. 2445–2448. 123 indexed citations
17.
Petrucci, G. & B. Zuccarello. (1998). A new calculation procedure for non-uniform residual stress analysis by the hole-drilling method. The Journal of Strain Analysis for Engineering Design. 33(1). 27–37. 14 indexed citations
18.
Petrucci, G.. (1997). Full-field automatic evaluation of an isoclinic parameter in white light. Experimental Mechanics. 37(4). 420–426. 58 indexed citations
19.
Petrucci, G. & B. Zuccarello. (1996). Effect of plasticity on the residual stress measurement using the groove method. Strain. 32(3). 97–104. 9 indexed citations
20.
Ajovalasit, A., Sandro Barone, & G. Petrucci. (1995). Towards RGB photoelasticity: Full-field automated photoelasticity in white light. Experimental Mechanics. 35(3). 193–200. 119 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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