Chiara Masiero
- Artificial Intelligence top 10%
- Industrial and Manufacturing Engineering top 5%
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Gian Antonio SustoAlessandro BeghiMichele PavonAugusto FerranteMatteo TerziDiego TosatoNicola LaurentiStefano Tomasin
- Topics
- Anomaly Detection Techniques and Applications (7 papers)Time Series Analysis and Forecasting (4 papers)Industrial Vision Systems and Defect Detection (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringMedical Laboratory TechnologyArtificial Intelligence
In The Last Decade
Chiara Masiero
20 papers receiving 373 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 144
- Industrial and Manufacturing Engineering 120
- Control and Systems Engineering 88
- Electrical and Electronic Engineering 52
- Computer Vision and Pattern Recognition 50
Countries citing papers authored by Chiara Masiero
This map shows the geographic impact of Chiara Masiero'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 Chiara Masiero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Masiero more than expected).
Fields of papers citing papers by Chiara Masiero
This network shows the impact of papers produced by Chiara Masiero. 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 Chiara Masiero. The network helps show where Chiara Masiero may publish in the future.
Co-authorship network of co-authors of Chiara Masiero
This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Masiero. A scholar is included among the top collaborators of Chiara Masiero 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 Chiara Masiero. Chiara Masiero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 22 | |
| 8 | 21 | |
| 9 | 5 | |
| 10 | 20 | |
| 11 | 22 | |
| 12 | 47 | |
| 13 | 67 | |
| 14 | 5 | |
| 15 | 14 | |
| 16 | 28 | |
| 17 | 12 | |
| 18 | 0 | |
| 19 | 0 | |
| 20 | 11 |
About Chiara Masiero
Chiara Masiero is a scholar working on Medical Laboratory Technology, Industrial and Manufacturing Engineering and Signal Processing, having authored 23 papers that have together received 383 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (7 papers), Time Series Analysis and Forecasting (4 papers) and Industrial Vision Systems and Defect Detection (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (120 citations), Medical Laboratory Technology (8 citations) and Artificial Intelligence (144 citations). Chiara Masiero has collaborated with scholars based in Italy, Sweden and Germany. Frequent co-authors include Gian Antonio Susto, Alessandro Beghi, Michele Pavon, Augusto Ferrante, Matteo Terzi, Diego Tosato, Nicola Laurenti, Stefano Tomasin, Luca Brunelli and Giorgio Picci. Their work appears in journals such as IEEE Transactions on Automatic Control, Expert Systems with Applications and IEEE Transactions on Information Forensics and Security.
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.