Fabio Pini

2.0k citations
34 papers · 1.3k indexed · 1 hit paper · h-index 15
Topics
Manufacturing Process and Optimization (22 papers)Additive Manufacturing and 3D Printing Technologies (12 papers)Flexible and Reconfigurable Manufacturing Systems (7 papers)
Partner nations
ItalyGermany

In The Last Decade

Fabio Pini

31 papers receiving 1.3k citations

Hit Papers

Survey on human–robot collaboration in industrial setting...20182026202020232018250500750

Peers

Fabio Pini
Comparison fields: 5 of 90
  • Control and Systems Engineering 582
  • Industrial and Manufacturing Engineering 518
  • Mechanical Engineering 297
  • Biomedical Engineering 263
  • Social Psychology 236
Replace Francesco Leali with:
Francesco Leali Italy
Valeria Villani Italy
Panagiota Tsarouchi Greece
Nicola Pedrocchi Italy
Hongyi Liu China
Jeremy A. Marvel United States
Terje K. Lien Norway
Przemyslaw A. Lasota United States
Phil Webb United Kingdom
Niki Kousi Greece
Fabio Pini relative to Francesco Leali Italy Francesco Leali's profile →
Citations per field
00.5×1.5×
Francesco Leali · 1×
Citations per year

Countries citing papers authored by Fabio Pini

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Pini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Pini

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Pini. A scholar is included among the top collaborators of Fabio Pini 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 Fabio Pini. Fabio Pini 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
#WorkIndexed citations
1 0
2 6
3 6
4 2
5 4
6 0
7 5
8 16
9 2
10 12
11 18
12 16
13 53
14 124
15
Survey on human–robot collaboration in industrial settings: Safety, intuitive interfaces and applicationsbreakdown →
759
16 16
17 4
18 37
19
[Biomechanical overcharge of the upper limbs in hairdressers: from the task analysis to the job/exposition matrix].
3
20
Design methods for intelligent robotic deburring cells
1

About Fabio Pini

Fabio Pini is a scholar working on Industrial and Manufacturing Engineering, Medical Laboratory Technology and Automotive Engineering, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (22 papers), Additive Manufacturing and 3D Printing Technologies (12 papers) and Flexible and Reconfigurable Manufacturing Systems (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (518 citations), Control and Systems Engineering (582 citations) and Human-Computer Interaction (122 citations). Fabio Pini has collaborated with scholars based in Italy and Germany. Frequent co-authors include Francesco Leali, Valeria Villani, Cristian Secchi, Federica Ferraguti, Alberto Vergnano, Marcello Pellicciari, Alessandro De Luca, Emanuele Magrini, Cesare Fantuzzi and Angelo Oreste Andrisano. Their work appears in journals such as Energy and Buildings, The International Journal of Advanced Manufacturing Technology and Applied Sciences.

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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