Daniele Vecchiato

695 citations
15 papers · 533 indexed · h-index 13

Daniele Vecchiato

14 papers receiving 514 citations

Peers

Daniele Vecchiato
Comparison fields: 5 of 25
  • Mechanical Engineering 517
  • Mechanics of Materials 147
  • Industrial and Manufacturing Engineering 41
  • Control and Systems Engineering 88
  • Computational Mechanics 17
Replace Shinn–Liang Chang with:
Shinn–Liang Chang Taiwan
Jon Larrañaga Spain
J. R. Colbourne Canada
Shuai Mo China
Tianwei Lai China
Yajun Xu China
Federico Colombo Italy
Jože Flašker Slovenia
Zidan Xu China
J. C. Nicholas United States
Daniele Vecchiato relative to Shinn–Liang Chang Taiwan Shinn–Liang Chang's profile →
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Citations per year

Countries citing papers authored by Daniele Vecchiato

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Vecchiato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 9 scholars most cited alongside Daniele Vecchiato, 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 Daniele Vecchiato Line = papers co-authored together Daniele Vecchiato links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
New Design and Improvement of Planetary Gear Trains
20132
2 200637
3 200516
4 200528
5 200424
6 2004110
7 200441
8 200426
9
Metal Sheet Hydroforming: Selection, modelling and Simulation of the Feed System
20021
10 200286
11 200218
12 200145
13 200156
14 200114
15 200129

About Daniele Vecchiato

Daniele Vecchiato is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Computer Graphics and Computer-Aided Design, having authored 15 papers that have together received 533 indexed citations. Recurring topics across this work include Gear and Bearing Dynamics Analysis (12 papers), Tribology and Lubrication Engineering (5 papers), Mechanical Engineering and Vibrations Research (5 papers), Mechanics and Biomechanics Studies (3 papers), Engineering Technology and Methodologies (3 papers), Advanced Measurement and Metrology Techniques (2 papers), Advanced Theoretical and Applied Studies in Material Sciences and Geometry (2 papers) and Advanced Numerical Analysis Techniques (2 papers). The work is most often cited by research in Mechanical Engineering (517 citations), Mechanics of Materials (147 citations) and Industrial and Manufacturing Engineering (41 citations). Daniele Vecchiato has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Faydor L. Litvin, Alfonso Fuentes, Ignacio Gonzãlez-Perez, Nicola Nervegna, Salvatore Mancò, John Argyris, Robert F. Handschuh, Qi Fan and Kenichi Hayasaka. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Mechanical Design and Mechanism and Machine Theory.

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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