Guido Cavraro
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 2%
- Safety, Risk, Reliability and Quality top 5%
- Computer Networks and Communications top 10%
- Energy Engineering and Power Technology top 10%
- Co-authors
- Ruggero CarliSandro ZampieriSaverio BolognaniReza ArghandehAndrey BernsteinVassilis KekatosAlexandra von MeierDeepjyoti Deka
- Topics
- Optimal Power Flow Distribution (32 papers)Smart Grid Energy Management (23 papers)Microgrid Control and Optimization (23 papers)
- Cited by
- Control and Systems EngineeringElectrical and Electronic EngineeringEnergy Engineering and Power Technology
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Guido Cavraro
39 papers receiving 808 citations
Peers
Comparison fields: 5 of 42
- Electrical and Electronic Engineering 741
- Control and Systems Engineering 549
- Safety, Risk, Reliability and Quality 67
- Computer Networks and Communications 63
- Energy Engineering and Power Technology 32
Countries citing papers authored by Guido Cavraro
This map shows the geographic impact of Guido Cavraro'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 Guido Cavraro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guido Cavraro more than expected).
Fields of papers citing papers by Guido Cavraro
This network shows the impact of papers produced by Guido Cavraro. 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 Guido Cavraro. The network helps show where Guido Cavraro may publish in the future.
Co-authorship network of co-authors of Guido Cavraro
This figure shows the co-authorship network connecting the top 25 collaborators of Guido Cavraro. A scholar is included among the top collaborators of Guido Cavraro 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 Guido Cavraro. Guido Cavraro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 14 | |
| 7 | 3 | |
| 8 | 34 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 17 | |
| 14 | 63 | |
| 15 | 34 | |
| 16 | 14 | |
| 17 | 102 | |
| 18 | 69 | |
| 19 | 10 | |
| 20 | A distributed feedback control strategy for optimal reactive power flow with voltage constraints | 10 |
About Guido Cavraro
Guido Cavraro is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Automotive Engineering, having authored 41 papers that have together received 834 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (32 papers), Smart Grid Energy Management (23 papers) and Microgrid Control and Optimization (23 papers). The work is most often cited by research in Control and Systems Engineering (549 citations), Electrical and Electronic Engineering (741 citations) and Energy Engineering and Power Technology (32 citations). Guido Cavraro has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Ruggero Carli, Sandro Zampieri, Saverio Bolognani, Reza Arghandeh, Andrey Bernstein, Vassilis Kekatos, Alexandra von Meier, Deepjyoti Deka, Göran Andersson and Yingchen Zhang. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Power Systems.
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.