Alberto Garinei
- Mechanical Engineering top 10%
- Civil and Structural Engineering top 10%
- Aerospace Engineering top 10%
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Roberto MarsiliFrancesco CastellaniGiacomo RisitanoDavide AstolfiLudovico TerziLorenzo ScappaticciStefania ProiettiPaolo Sdringola
- Topics
- Energy Load and Power Forecasting (6 papers)Railway Engineering and Dynamics (6 papers)Wind Energy Research and Development (5 papers)
- Partner nations
- ItalyCanadaUnited States
In The Last Decade
Alberto Garinei
45 papers receiving 446 citations
Peers
Comparison fields: 5 of 77
- Mechanical Engineering 166
- Civil and Structural Engineering 155
- Aerospace Engineering 107
- Control and Systems Engineering 98
- Electrical and Electronic Engineering 93
Countries citing papers authored by Alberto Garinei
This map shows the geographic impact of Alberto Garinei'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 Alberto Garinei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Garinei more than expected).
Fields of papers citing papers by Alberto Garinei
This network shows the impact of papers produced by Alberto Garinei. 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 Alberto Garinei. The network helps show where Alberto Garinei may publish in the future.
Co-authorship network of co-authors of Alberto Garinei
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Garinei. A scholar is included among the top collaborators of Alberto Garinei 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 Alberto Garinei. Alberto Garinei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | Analysing wind turbine state dynamics for fault diagnosis | 4 |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 22 | |
| 12 | 36 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 21 | |
| 16 | 19 | |
| 17 | A new data mining approach for power performance verification of an on-shore wind farm | 11 |
| 18 | 19 | |
| 19 | 12 | |
| 20 | 1 |
About Alberto Garinei
Alberto Garinei is a scholar working on General Engineering, Environmental Engineering and General Dentistry, having authored 47 papers that have together received 464 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (6 papers), Railway Engineering and Dynamics (6 papers) and Wind Energy Research and Development (5 papers). The work is most often cited by research in General Engineering (28 citations), Civil and Structural Engineering (155 citations) and Environmental Engineering (70 citations). Alberto Garinei has collaborated with scholars based in Italy, Canada and United States. Frequent co-authors include Roberto Marsili, Francesco Castellani, Giacomo Risitano, Davide Astolfi, Ludovico Terzi, Lorenzo Scappaticci, Stefania Proietti, Paolo Sdringola, Umberto Desideri and Emanuele Piccioni. Their work appears in journals such as Applied Energy, Sensors and Composite Structures.
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.