Gian Paolo Incremona
- Control and Systems Engineering top 0.5%
- Electrical and Electronic Engineering top 10%
- Mechanical Engineering top 10%
- Automotive Engineering top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Antonella FerraraMichele CucuzzellaLalo MagniMatteo RubagottiMarco PiastraClaudio CobelliMirko MessoriPatrizio Colaneri
- Topics
- Adaptive Control of Nonlinear Systems (40 papers)Advanced Control Systems Optimization (25 papers)Stability and Control of Uncertain Systems (14 papers)
- Cited by
- Control and Systems EngineeringAutomotive EngineeringEnergy Engineering and Power Technology
- Journals
- IEEE Transactions on Automatic ControlIEEE Transactions on Industrial ElectronicsAutomatica
- Partner nations
- ItalyKazakhstanUnited Kingdom
In The Last Decade
Gian Paolo Incremona
89 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 72
- Control and Systems Engineering 1.5k
- Electrical and Electronic Engineering 411
- Mechanical Engineering 227
- Automotive Engineering 187
- Computer Networks and Communications 158
Countries citing papers authored by Gian Paolo Incremona
This map shows the geographic impact of Gian Paolo Incremona'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 Gian Paolo Incremona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gian Paolo Incremona more than expected).
Fields of papers citing papers by Gian Paolo Incremona
This network shows the impact of papers produced by Gian Paolo Incremona. 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 Gian Paolo Incremona. The network helps show where Gian Paolo Incremona may publish in the future.
Co-authorship network of co-authors of Gian Paolo Incremona
This figure shows the co-authorship network connecting the top 25 collaborators of Gian Paolo Incremona. A scholar is included among the top collaborators of Gian Paolo Incremona 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 Gian Paolo Incremona. Gian Paolo Incremona is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 13 | |
| 15 | 4 | |
| 16 | 36 | |
| 17 | 26 | |
| 18 | 15 | |
| 19 | 12 | |
| 20 | 27 |
About Gian Paolo Incremona
Gian Paolo Incremona is a scholar working on Control and Systems Engineering, Automotive Engineering and Industrial and Manufacturing Engineering, having authored 94 papers that have together received 1.9k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (40 papers), Advanced Control Systems Optimization (25 papers) and Stability and Control of Uncertain Systems (14 papers). The work is most often cited by research in Control and Systems Engineering (1.5k citations), Automotive Engineering (187 citations) and Energy Engineering and Power Technology (23 citations). Gian Paolo Incremona has collaborated with scholars based in Italy, Kazakhstan and United Kingdom. Frequent co-authors include Antonella Ferrara, Michele Cucuzzella, Lalo Magni, Matteo Rubagotti, Marco Piastra, Claudio Cobelli, Mirko Messori, Patrizio Colaneri, Mara Tanelli and Chiara Toffanin. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Automatica.
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.