Diego Carrera
Impact in
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- Industrial Vision Systems and Defect Detection
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
- Data Stream Mining Techniques
Papers in
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- Anomaly Detection Techniques and Applications 11
- Data Stream Mining Techniques 7
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- Integrated Circuits and Semiconductor Failure Analysis 4
- Co-authors
- Giacomo Boracchi (26 shared papers)Pasqualina Fragneto (15 shared papers)Beatrice Rossi (13 shared papers)Ettore Lanzarone (1 shared paper)Brendt Wohlberg (4 shared papers)Alessandro Foi (3 shared papers)Danilo Macciò (1 shared paper)Cristiano Cervellera (1 shared paper)
- Journals
- Pattern Recognition (3 papers)Thrombosis and Haemostasis (1 paper)Big Data Research (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)IEEE Signal Processing Letters (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Diego Carrera
32 papers receiving 380 citations
Peers
Comparison fields: 5 of 81
- Industrial and Manufacturing Engineering 95
- Artificial Intelligence 190
- Computer Vision and Pattern Recognition 94
- Signal Processing 44
- Media Technology 34
Countries citing papers authored by Diego Carrera
This map shows the geographic impact of Diego Carrera'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 Diego Carrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Carrera more than expected).
Fields of papers citing papers by Diego Carrera
This network shows the impact of papers produced by Diego Carrera. 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 Diego Carrera. The network helps show where Diego Carrera may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Carrera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 99 | |
| 2 | 2018 | 39 | |
| 3 | 2015 | 36 | |
| 4 | 2014 | 28 | |
| 5 | QuantTree: Histograms for change detection in multivariate data streams | 2018 | 20 |
| 6 | 2021 | 20 | |
| 7 | 2020 | 18 | |
| 8 | 2016 | 16 | |
| 9 | 2015 | 13 | |
| 10 | 2019 | 13 | |
| 11 | 1978 | 12 | |
| 12 | 2016 | 11 | |
| 13 | 2017 | 9 | |
| 14 | 2017 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2018 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2016 | 4 |
About Diego Carrera
Diego Carrera is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Signal Processing, Computational Mechanics and Cardiology and Cardiovascular Medicine, having authored 38 papers that have together received 400 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (11 papers), Data Stream Mining Techniques (7 papers), Sparse and Compressive Sensing Techniques (5 papers), Industrial Vision Systems and Defect Detection (5 papers), Time Series Analysis and Forecasting (5 papers), ECG Monitoring and Analysis (5 papers), Image Processing Techniques and Applications (4 papers) and Integrated Circuits and Semiconductor Failure Analysis (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (95 citations), Artificial Intelligence (190 citations), Computer Vision and Pattern Recognition (94 citations), Signal Processing (44 citations) and Media Technology (34 citations). Diego Carrera has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Giacomo Boracchi, Pasqualina Fragneto, Beatrice Rossi, Ettore Lanzarone, Brendt Wohlberg, Alessandro Foi, Danilo Macciò, Cristiano Cervellera, P.M. Mannucci and L. Mannucci. Their work appears in journals such as Pattern Recognition, Thrombosis and Haemostasis, Big Data Research, IEEE Transactions on Knowledge and Data Engineering and IEEE Signal Processing Letters.
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.