Daniela D’Auria
Impact in
- Health Informatics top 10%
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- Video Surveillance and Tracking Methods
Papers in
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- Anomaly Detection Techniques and Applications 3
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- Context-Aware Activity Recognition Systems 4
- Video Surveillance and Tracking Methods 4
- Co-authors
- Fabio Persia (29 shared papers)Bruno Siciliano (4 shared papers)Davide Calandra (4 shared papers)Francesco Cutugno (4 shared papers)Mouzhi Ge (8 shared papers)Maria Escolino (2 shared papers)Ciro Esposito (2 shared papers)Giovanni Pilato (9 shared papers)
In The Last Decade
Daniela D’Auria
39 papers receiving 289 citations
Peers
Comparison fields: 5 of 73
- Health Informatics 11
- Computer Vision and Pattern Recognition 58
- Human-Computer Interaction 15
- Computer Networks and Communications 54
- Health Information Management 10
Countries citing papers authored by Daniela D’Auria
This map shows the geographic impact of Daniela D’Auria'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 Daniela D’Auria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela D’Auria more than expected).
Fields of papers citing papers by Daniela D’Auria
This network shows the impact of papers produced by Daniela D’Auria. 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 Daniela D’Auria. The network helps show where Daniela D’Auria may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela D’Auria, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 26 | |
| 2 | 2016 | 26 | |
| 3 | 2017 | 25 | |
| 4 | 2017 | 20 | |
| 5 | 2015 | 17 | |
| 6 | 2017 | 13 | |
| 7 | 2014 | 13 | |
| 8 | 2023 | 12 | |
| 9 | 2014 | 12 | |
| 10 | 2014 | 12 | |
| 11 | 2019 | 11 | |
| 12 | An application for finding expected activities in medical context scientific databases. | 2014 | 10 |
| 13 | 2016 | 10 | |
| 14 | 2015 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2020 | 8 | |
| 17 | 2018 | 8 | |
| 18 | 2014 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2022 | 5 |
About Daniela D’Auria
Daniela D’Auria is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Cognitive Neuroscience, having authored 43 papers that have together received 300 indexed citations. Recurring topics across this work include Telemedicine and Telehealth Implementation (5 papers), Context-Aware Activity Recognition Systems (4 papers), Human Mobility and Location-Based Analysis (4 papers), Video Surveillance and Tracking Methods (4 papers), Anomaly Detection Techniques and Applications (3 papers), Spam and Phishing Detection (3 papers), IoT and Edge/Fog Computing (3 papers) and Tactile and Sensory Interactions (3 papers). The work is most often cited by research in Health Informatics (11 citations), Computer Vision and Pattern Recognition (58 citations), Human-Computer Interaction (15 citations), Computer Networks and Communications (54 citations) and Health Information Management (10 citations). Daniela D’Auria has collaborated with scholars based in Italy, Germany and Sweden. Frequent co-authors include Fabio Persia, Bruno Siciliano, Davide Calandra, Francesco Cutugno, Mouzhi Ge, Maria Escolino, Ciro Esposito, Giovanni Pilato, Stefania Costantini and Fabrizio Mazzetto. Their work appears in journals such as Frontiers in Big Data, Injury, IEEE Journal of Biomedical and Health Informatics, Translational Pediatrics and ACM Transactions on Management Information Systems.
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.