Andrea Sciarrone
Impact in
- Obstetrics and Gynecology top 5%
-
- IoT and Edge/Fog Computing
Papers in
-
- Indoor and Outdoor Localization Technologies 23
-
- IoT and Edge/Fog Computing 9
- Co-authors
- Igor Bisio (78 shared papers)Fabio Lavagetto (73 shared papers)Chiara Garibotto (43 shared papers)Mario Marchese (13 shared papers)Sandro Zappatore (7 shared papers)E. Viora (19 shared papers)S. Bastonero (14 shared papers)M Campogrande (10 shared papers)
- Journals
- IEEE Internet of Things Journal (9 papers)Prenatal Diagnosis (7 papers)IEEE Transactions on Vehicular Technology (6 papers)Ultrasound in Obstetrics and Gynecology (5 papers)IEEE Network (3 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Andrea Sciarrone
110 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 128
- Obstetrics and Gynecology 161
- Computer Networks and Communications 475
- Signal Processing 206
- Computer Vision and Pattern Recognition 386
- Aerospace Engineering 367
Countries citing papers authored by Andrea Sciarrone
This map shows the geographic impact of Andrea Sciarrone'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 Sciarrone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Sciarrone more than expected).
Fields of papers citing papers by Andrea Sciarrone
This network shows the impact of papers produced by Andrea Sciarrone. 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 Sciarrone. The network helps show where Andrea Sciarrone may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrea Sciarrone, 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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 117 | |
| 2 | 2018 | 108 | |
| 3 | 2018 | 105 | |
| 4 | 2014 | 79 | |
| 5 | 1997 | 69 | |
| 6 | 2013 | 69 | |
| 7 | 2016 | 67 | |
| 8 | 2022 | 59 | |
| 9 | 2003 | 58 | |
| 10 | 2018 | 55 | |
| 11 | 2013 | 54 | |
| 12 | 2019 | 53 | |
| 13 | 2018 | 51 | |
| 14 | 2015 | 49 | |
| 15 | 2014 | 45 | |
| 16 | 2020 | 45 | |
| 17 | 2015 | 42 | |
| 18 | 2020 | 40 | |
| 19 | 2021 | 40 | |
| 20 | 2018 | 34 |
About Andrea Sciarrone
Andrea Sciarrone is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Pediatrics, Perinatology and Child Health and Biomedical Engineering, having authored 121 papers that have together received 2.1k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (23 papers), Prenatal Screening and Diagnostics (12 papers), Context-Aware Activity Recognition Systems (11 papers), Speech and Audio Processing (11 papers), Microwave Imaging and Scattering Analysis (10 papers), Pregnancy and preeclampsia studies (9 papers), IoT and Edge/Fog Computing (9 papers) and UAV Applications and Optimization (9 papers). The work is most often cited by research in Obstetrics and Gynecology (161 citations), Computer Networks and Communications (475 citations), Signal Processing (206 citations), Computer Vision and Pattern Recognition (386 citations) and Aerospace Engineering (367 citations). Andrea Sciarrone has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Igor Bisio, Fabio Lavagetto, Chiara Garibotto, Mario Marchese, Sandro Zappatore, E. Viora, S. Bastonero, M Campogrande, Matteo Pastorino and Andrea Randazzo. Their work appears in journals such as IEEE Internet of Things Journal, Prenatal Diagnosis, IEEE Transactions on Vehicular Technology, Ultrasound in Obstetrics and Gynecology and IEEE Network.
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.