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 9
- Data Stream Mining Techniques 4
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- Sparse and Compressive Sensing Techniques 5
- Co-authors
- Giacomo Boracchi (19 shared papers)Pasqualina Fragneto (12 shared papers)Brendt Wohlberg (4 shared papers)Ettore Lanzarone (1 shared paper)Beatrice Rossi (10 shared papers)Alessandro Foi (3 shared papers)Cristiano Cervellera (1 shared paper)Danilo Macciò (1 shared paper)
- Journals
- Pattern Recognition (3 papers)Thrombosis and Haemostasis (1 paper)IEEE Transactions on Industrial Informatics (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)EURASIP Journal on Wireless Communications and Networking (1 paper)
- Partner nations
- ItalyUnited StatesFinland
In The Last Decade
Diego Carrera
23 papers receiving 294 citations
Peers
Comparison fields: 5 of 80
- Industrial and Manufacturing Engineering 71
- Artificial Intelligence 141
- Computer Vision and Pattern Recognition 71
- Media Technology 28
- Signal Processing 31
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 85 | |
| 2 | 2018 | 38 | |
| 3 | 2015 | 35 | |
| 4 | 2014 | 21 | |
| 5 | QuantTree: Histograms for change detection in multivariate data streams | 2018 | 17 |
| 6 | 2021 | 16 | |
| 7 | 2016 | 14 | |
| 8 | 2020 | 14 | |
| 9 | 2015 | 13 | |
| 10 | 1978 | 11 | |
| 11 | 2017 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2017 | 7 | |
| 14 | 2018 | 4 | |
| 15 | 2013 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2017 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2022 | 2 |
About Diego Carrera
Diego Carrera is a scholar working on Artificial Intelligence, Computational Mechanics, Electrical and Electronic Engineering, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 309 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (9 papers), Sparse and Compressive Sensing Techniques (5 papers), Industrial Vision Systems and Defect Detection (4 papers), Data Stream Mining Techniques (4 papers), ECG Monitoring and Analysis (4 papers), Image Processing Techniques and Applications (3 papers), Integrated Circuits and Semiconductor Failure Analysis (3 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (71 citations), Artificial Intelligence (141 citations), Computer Vision and Pattern Recognition (71 citations), Media Technology (28 citations) and Signal Processing (31 citations). Diego Carrera has collaborated with scholars based in Italy, United States and Finland. Frequent co-authors include Giacomo Boracchi, Pasqualina Fragneto, Brendt Wohlberg, Ettore Lanzarone, Beatrice Rossi, Alessandro Foi, Cristiano Cervellera, Danilo Macciò, P.M. Mannucci and L. Mannucci. Their work appears in journals such as Pattern Recognition, Thrombosis and Haemostasis, IEEE Transactions on Industrial Informatics, IEEE Transactions on Neural Networks and Learning Systems and EURASIP Journal on Wireless Communications and Networking.
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.