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)John Clauß (1 shared paper)Franz Hengel (1 shared paper)Shohei Miyata (1 shared paper)Wei Liu (1 shared paper)Yimin Chen (1 shared paper)
- Journals
- Energy and Buildings (2 papers)Applied Energy (1 paper)Building Simulation (1 paper)Energies (1 paper)Energy (1 paper)
- Partner nations
- ItalyChinaUnited States
In The Last Decade
Roberto Chiosa
7 papers receiving 289 citations
Roberto Chiosa's Hit Papers
Peers
Comparison fields: 5 of 61
- Building and Construction 130
- Control and Systems Engineering 86
- Environmental Engineering 41
- 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 21 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 | 173 |
| 2 | 2021 | 49 | |
| 3 | 2023 | 26 | |
| 4 | 2021 | 24 | |
| 5 | 2022 | 17 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 |
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 294 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (4 papers), Infrastructure Maintenance and Monitoring (2 papers), Building Energy and Comfort Optimization (2 papers), Time Series Analysis and Forecasting (2 papers), Energy Load and Power Forecasting (2 papers), Landslides and related hazards (1 paper), Advanced Chemical Sensor Technologies (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Building and Construction (130 citations), Control and Systems Engineering (86 citations), Environmental Engineering (41 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, John Clauß, Franz Hengel, Shohei Miyata, Wei Liu, Yimin Chen, Ojas Pradhan and Seungjae Lee. Their work appears in journals such as Energy and Buildings, Applied Energy, Building Simulation, Energies and Energy.
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.