G. Ripaccioli
Impact in
- Automotive Engineering top 5%
- Electric and Hybrid Vehicle Technologies
- Advanced Battery Technologies Research
- Vehicle emissions and performance
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- Advanced Combustion Engine Technologies
Papers in
-
- Advanced Control Systems Optimization 5
- Adaptive Control of Nonlinear Systems 1
- Extremum Seeking Control Systems 1
- Fault Detection and Control Systems 1
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- Electric and Hybrid Vehicle Technologies 2
- Co-authors
- Alberto Bemporad (4 shared papers)Ilya Kolmanovsky (3 shared papers)Stefano Di Cairano (3 shared papers)Daniele Bernardini (2 shared papers)Davor Hrovat (1 shared paper)N. Giorgetti (1 shared paper)Domenico Prattichizzo (1 shared paper)Davide Barcelli (1 shared paper)
- Journals
- IEEE/ASME Transactions on Mechatronics (1 paper)Use Siena air (University of Siena) (1 paper)IFAC Proceedings Volumes (1 paper)Institutional Research Information System (Università degli Studi di Trento) (1 paper)
- Partner nations
- ItalyUnited States
In The Last Decade
G. Ripaccioli
6 papers receiving 313 citations
Peers
Comparison fields: 5 of 35
- Automotive Engineering 237
- Fluid Flow and Transfer Processes 51
- Control and Systems Engineering 142
- Electrical and Electronic Engineering 150
- Transportation 11
Countries citing papers authored by G. Ripaccioli
This map shows the geographic impact of G. Ripaccioli'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 G. Ripaccioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Ripaccioli more than expected).
Fields of papers citing papers by G. Ripaccioli
This network shows the impact of papers produced by G. Ripaccioli. 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 G. Ripaccioli. The network helps show where G. Ripaccioli may publish in the future.
Co-authors
The 11 scholars most cited alongside G. Ripaccioli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 168 | |
| 2 | 2010 | 82 | |
| 3 | 2006 | 61 | |
| 4 | 2011 | 7 | |
| 5 | 2009 | 5 | |
| 6 | 2009 | 3 |
About G. Ripaccioli
G. Ripaccioli is a scholar working on Control and Systems Engineering, Automotive Engineering, Fluid Flow and Transfer Processes, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 6 papers that have together received 326 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (5 papers), Electric and Hybrid Vehicle Technologies (2 papers), Advanced Combustion Engine Technologies (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper), Adaptive Control of Nonlinear Systems (1 paper), Extremum Seeking Control Systems (1 paper), Electric Vehicles and Infrastructure (1 paper) and Fault Detection and Control Systems (1 paper). The work is most often cited by research in Automotive Engineering (237 citations), Fluid Flow and Transfer Processes (51 citations), Control and Systems Engineering (142 citations), Electrical and Electronic Engineering (150 citations) and Transportation (11 citations). G. Ripaccioli has collaborated with scholars based in Italy and United States. Frequent co-authors include Alberto Bemporad, Ilya Kolmanovsky, Stefano Di Cairano, Daniele Bernardini, Davor Hrovat, N. Giorgetti, Domenico Prattichizzo, Davide Barcelli, Fabio Morbidi and Anna G. Stefanopoulou. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, Use Siena air (University of Siena), IFAC Proceedings Volumes and Institutional Research Information System (Università degli Studi di Trento).
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.