Alessandro Beghi

4.4k citations
193 papers · 3.1k indexed · 1 hit paper · h-index 28
Topics
Fault Detection and Control Systems (34 papers)Real-time simulation and control systems (30 papers)Industrial Vision Systems and Defect Detection (28 papers)
Partner nations
ItalyGermanyAustria

In The Last Decade

Alessandro Beghi

184 papers receiving 2.9k citations

Hit Papers

Machine Learning for Predictive Maintenance: A Multiple C...20142026201820222014100200300400500

Peers

Alessandro Beghi
Comparison fields: 5 of 131
  • Control and Systems Engineering 1.2k
  • Industrial and Manufacturing Engineering 676
  • Mechanical Engineering 607
  • Artificial Intelligence 476
  • Electrical and Electronic Engineering 392
Replace Olga Fink with:
Olga Fink Switzerland
Yi Qin China
Gian Antonio Susto Italy
Youxian Sun China
Peter W. Tse Hong Kong
Yu Ding United States
Zhiwen Chen China
Jing Lin China
Zhiwei Gao China
Alessandro Beghi relative to Olga Fink Switzerland Olga Fink's profile →
Citations per field
00.5×7.3×
Olga Fink · 1×
Citations per year

Countries citing papers authored by Alessandro Beghi

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Beghi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Beghi

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Beghi. A scholar is included among the top collaborators of Alessandro Beghi 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 Alessandro Beghi. Alessandro Beghi 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 1
2 2
3 2
4 8
5 6
6 0
7 10
8 21
9 6
10 7
11 9
12 47
13 3
14 8
15 14
16 28
17 36
18 16
19 13
20 0

About Alessandro Beghi

Alessandro Beghi is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Automotive Engineering, having authored 193 papers that have together received 3.1k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (34 papers), Real-time simulation and control systems (30 papers) and Industrial Vision Systems and Defect Detection (28 papers). The work is most often cited by research in Medical Laboratory Technology (108 citations), Industrial and Manufacturing Engineering (676 citations) and Control and Systems Engineering (1.2k citations). Alessandro Beghi has collaborated with scholars based in Italy, Germany and Austria. Frequent co-authors include Gian Antonio Susto, Mirco Rampazzo, Luca Cecchinato, Andrea Schirru, Simone Pampuri, Seán McLoone, Mattia Bruschetta, Francesco Simmini, Chiara Masiero and Angelo Cenedese. Their work appears in journals such as PLoS ONE, IEEE Transactions on Automatic Control and IEEE Transactions on Information 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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