Gianfranco Genta

2.0k citations
127 papers · 1.4k · h-index 21

Impact in

Papers in

Gianfranco Genta

116 papers receiving 1.4k citations

Peers

Gianfranco Genta
Comparison fields: 5 of 159
  • Industrial and Manufacturing Engineering 421
  • Statistics, Probability and Uncertainty 123
  • Mechanical Engineering 574
  • Management of Technology and Innovation 89
  • Automotive Engineering 147
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Guojun Zhang China
Yansong Wang China
Giuseppe Di Gironimo Italy
Sayan Ghosh India
Xiaolan Wang China
Baotong Li China
Michele Lanzetta Italy
Renato Vidoni Italy
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Guofu Yin China
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Citations per field
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Citations per year

Countries citing papers authored by Gianfranco Genta

Since Specialization
Citations

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

Fields of papers citing papers by Gianfranco Genta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gianfranco Genta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gianfranco Genta Line = papers co-authored together Gianfranco Genta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011160
2 198883
3 202146
4 201843
5 201142
6 201641
7 199439
8 201536
9 202035
10 202133
11 201531
12 202030
13 201128
14 201927
15 200325
16 201425
17 202023
18 202021
19 202221
20 202120

About Gianfranco Genta

Gianfranco Genta is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering, Mechanics of Materials, Biomedical Engineering and Statistics, Probability and Uncertainty, having authored 127 papers that have together received 1.4k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (35 papers), Industrial Vision Systems and Defect Detection (21 papers), Metal and Thin Film Mechanics (19 papers), Advanced Measurement and Metrology Techniques (18 papers), Scientific Measurement and Uncertainty Evaluation (14 papers), Force Microscopy Techniques and Applications (13 papers), Additive Manufacturing Materials and Processes (12 papers) and Advanced Sensor Technologies Research (11 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (421 citations), Statistics, Probability and Uncertainty (123 citations), Mechanical Engineering (574 citations), Management of Technology and Innovation (89 citations) and Automotive Engineering (147 citations). Gianfranco Genta has collaborated with scholars based in Italy, Denmark and Uzbekistan. Frequent co-authors include Maurizio Galetto, Giulio Barbato, Elisa Verna, Fiorenzo Franceschini, Giacomo Maculotti, R. Levi, Cristiana Delprete, Leonardo De Chiffre, Alessandro Germak and Paolo Minetola. Their work appears in journals such as Measurement, CIRP Annals, The International Journal of Advanced Manufacturing Technology, CIRP journal of manufacturing science and technology and Quality Engineering.

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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