Marco Rigamonti
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Safety, Risk, Reliability and Quality top 5%
- Artificial Intelligence
- Mechanical Engineering
- Co-authors
- Enrico ZioPiero BaraldiScott PollAinhoa GalarzaKai GoebelIndranil RoychoudhuryFrancesco Di MaioRédouane Seraoui
- Topics
- Silicon Carbide Semiconductor Technologies (3 papers)Neural Networks and Applications (2 papers)Nuclear Engineering Thermal-Hydraulics (2 papers)
- Cited by
- Medical Laboratory TechnologySafety, Risk, Reliability and QualityControl and Systems Engineering
In The Last Decade
Marco Rigamonti
11 papers receiving 304 citations
Peers
Comparison fields: 5 of 60
- Control and Systems Engineering 151
- Electrical and Electronic Engineering 91
- Safety, Risk, Reliability and Quality 65
- Artificial Intelligence 64
- Mechanical Engineering 49
Countries citing papers authored by Marco Rigamonti
This map shows the geographic impact of Marco Rigamonti'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 Marco Rigamonti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Rigamonti more than expected).
Fields of papers citing papers by Marco Rigamonti
This network shows the impact of papers produced by Marco Rigamonti. 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 Marco Rigamonti. The network helps show where Marco Rigamonti may publish in the future.
Co-authorship network of co-authors of Marco Rigamonti
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Rigamonti. A scholar is included among the top collaborators of Marco Rigamonti 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 Marco Rigamonti. Marco Rigamonti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 92 | |
| 3 | 25 | |
| 4 | 16 | |
| 5 | 43 | |
| 6 | 67 | |
| 7 | 14 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | Production requirements definition in a dynamic environment | 1 |
| 11 | 5 | |
| 12 | 28 |
About Marco Rigamonti
Marco Rigamonti is a scholar working on Safety, Risk, Reliability and Quality, Automotive Engineering and Control and Systems Engineering, having authored 12 papers that have together received 312 indexed citations. Recurring topics across this work include Silicon Carbide Semiconductor Technologies (3 papers), Neural Networks and Applications (2 papers) and Nuclear Engineering Thermal-Hydraulics (2 papers). The work is most often cited by research in Medical Laboratory Technology (15 citations), Safety, Risk, Reliability and Quality (65 citations) and Control and Systems Engineering (151 citations). Marco Rigamonti has collaborated with scholars based in Italy, France and Spain. Frequent co-authors include Enrico Zio, Piero Baraldi, Scott Poll, Ainhoa Galarza, Kai Goebel, Indranil Roychoudhury, Francesco Di Maio, Rédouane Seraoui, Rolf Ingold and Denis Lalanne. Their work appears in journals such as IEEE Transactions on Power Electronics, Mechanical Systems and Signal Processing and Neurocomputing.
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.