Andrea Caroppo
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Artificial Intelligence
- Experimental and Cognitive Psychology
- Gastroenterology top 10%
- Co-authors
- Alessandro LeonePietro SicilianoGabriele RescioAndrea ManniGiovanni DiracoPaolo SpagnoloMarco LeoTiziana D’Orazio
- Topics
- Context-Aware Activity Recognition Systems (11 papers)Non-Invasive Vital Sign Monitoring (9 papers)Muscle activation and electromyography studies (5 papers)
- Cited by
- GastroenterologyComputer Vision and Pattern RecognitionPhysical Therapy, Sports Therapy and Rehabilitation
- Journals
- SHILAP Revista de lepidopterologíaSensorsComputers in Industry
In The Last Decade
Andrea Caroppo
31 papers receiving 303 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 108
- Biomedical Engineering 82
- Artificial Intelligence 41
- Experimental and Cognitive Psychology 39
- Gastroenterology 39
Countries citing papers authored by Andrea Caroppo
This map shows the geographic impact of Andrea Caroppo'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 Andrea Caroppo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Caroppo more than expected).
Fields of papers citing papers by Andrea Caroppo
This network shows the impact of papers produced by Andrea Caroppo. 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 Andrea Caroppo. The network helps show where Andrea Caroppo may publish in the future.
Co-authorship network of co-authors of Andrea Caroppo
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Caroppo. A scholar is included among the top collaborators of Andrea Caroppo 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 Andrea Caroppo. Andrea Caroppo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 13 | |
| 10 | 14 | |
| 11 | 6 | |
| 12 | 13 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 62 | |
| 16 | Ambient Assisted Living Italian Forum 2018 | 11 |
| 17 | Deep Learning and Machine Learning Techniques for Change Detection in Behavior Monitoring. | 2 |
| 18 | 3 | |
| 19 | 22 | |
| 20 | 1 |
About Andrea Caroppo
Andrea Caroppo is a scholar working on Computer Vision and Pattern Recognition, Physical Therapy, Sports Therapy and Rehabilitation and Biomedical Engineering, having authored 33 papers that have together received 317 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (11 papers), Non-Invasive Vital Sign Monitoring (9 papers) and Muscle activation and electromyography studies (5 papers). The work is most often cited by research in Gastroenterology (39 citations), Computer Vision and Pattern Recognition (108 citations) and Physical Therapy, Sports Therapy and Rehabilitation (23 citations). Andrea Caroppo has collaborated with scholars based in Italy and Russia. Frequent co-authors include Alessandro Leone, Pietro Siciliano, Gabriele Rescio, Andrea Manni, Giovanni Diraco, Paolo Spagnolo, Marco Leo, Tiziana D’Orazio, Alessandra Papetti and Marianna Ciccarelli. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Computers in Industry.
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.