Roberto Chiosa
Impact in
- Building and Construction top 5%
- Building Energy and Comfort Optimization
- Control and Systems Engineering top 10%
- Fault Detection and Control Systems
Papers in
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- Anomaly Detection Techniques and Applications 4
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- Energy Load and Power Forecasting 2
- Co-authors
- Alfonso Capozzoli (7 shared papers)Marco Savino Piscitelli (6 shared papers)Cheng Fan (3 shared papers)Yongjun Sun (1 shared paper)Marco Pritoni (2 shared papers)Jin Wen (1 shared paper)Guanjing Lin (1 shared paper)Yimin Chen (1 shared paper)
- Journals
- Energy and Buildings (2 papers)Energies (1 paper)Energy (1 paper)Applied Energy (1 paper)Building Simulation (1 paper)
- Partner nations
- ItalyChinaUnited States
In The Last Decade
Roberto Chiosa
7 papers receiving 256 citations
Roberto Chiosa's Hit Papers
Peers
Comparison fields: 5 of 59
- Building and Construction 123
- Control and Systems Engineering 79
- Environmental Engineering 40
- Medical Laboratory Technology 3
- Industrial and Manufacturing Engineering 19
Countries citing papers authored by Roberto Chiosa
This map shows the geographic impact of Roberto Chiosa'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 Roberto Chiosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Chiosa more than expected).
Fields of papers citing papers by Roberto Chiosa
This network shows the impact of papers produced by Roberto Chiosa. 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 Roberto Chiosa. The network helps show where Roberto Chiosa may publish in the future.
Co-authors
The 20 scholars most cited alongside Roberto Chiosa, 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 | A review of data-driven fault detection and diagnostics for building HVAC systems Hit paper breakdown → | 2023 | 149 |
| 2 | 2021 | 45 | |
| 3 | 2021 | 24 | |
| 4 | 2023 | 23 | |
| 5 | 2022 | 17 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 |
About Roberto Chiosa
Roberto Chiosa is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Civil and Structural Engineering, Signal Processing and Building and Construction, having authored 7 papers that have together received 262 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (4 papers), Energy Load and Power Forecasting (2 papers), Infrastructure Maintenance and Monitoring (2 papers), Time Series Analysis and Forecasting (2 papers), Building Energy and Comfort Optimization (2 papers), Fault Detection and Control Systems (1 paper), Advanced Chemical Sensor Technologies (1 paper) and Currency Recognition and Detection (1 paper). The work is most often cited by research in Building and Construction (123 citations), Control and Systems Engineering (79 citations), Environmental Engineering (40 citations), Medical Laboratory Technology (3 citations) and Industrial and Manufacturing Engineering (19 citations). Roberto Chiosa has collaborated with scholars based in Italy, China and United States. Frequent co-authors include Alfonso Capozzoli, Marco Savino Piscitelli, Cheng Fan, Yongjun Sun, Marco Pritoni, Jin Wen, Guanjing Lin, Yimin Chen, Zhelun Chen and Ojas Pradhan. Their work appears in journals such as Energy and Buildings, Energies, Energy, Applied Energy and Building Simulation.
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.