Lucia Migliorelli
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Pediatrics, Perinatology and Child Health
- Pulmonary and Respiratory Medicine
- Cardiology and Cardiovascular Medicine
- Co-authors
- Sara MocciaEmanuele FrontoniVirgilio CarnielliCristina P. SantosAdriano ManciniSara CasacciaMarina PaolantiMicaela Morettini
- Topics
- Neonatal Respiratory Health Research (8 papers)Infant Development and Preterm Care (7 papers)Context-Aware Activity Recognition Systems (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Transactions on Biomedical Engineering
- Partner nations
- ItalyPortugalUnited States
In The Last Decade
Lucia Migliorelli
28 papers receiving 242 citations
Peers
Comparison fields: 5 of 82
- Biomedical Engineering 70
- Computer Vision and Pattern Recognition 67
- Pediatrics, Perinatology and Child Health 43
- Pulmonary and Respiratory Medicine 40
- Cardiology and Cardiovascular Medicine 36
Countries citing papers authored by Lucia Migliorelli
This map shows the geographic impact of Lucia Migliorelli'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 Lucia Migliorelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucia Migliorelli more than expected).
Fields of papers citing papers by Lucia Migliorelli
This network shows the impact of papers produced by Lucia Migliorelli. 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 Lucia Migliorelli. The network helps show where Lucia Migliorelli may publish in the future.
Co-authorship network of co-authors of Lucia Migliorelli
This figure shows the co-authorship network connecting the top 25 collaborators of Lucia Migliorelli. A scholar is included among the top collaborators of Lucia Migliorelli 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 Lucia Migliorelli. Lucia Migliorelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | 15 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 16 | |
| 13 | 10 | |
| 14 | 9 | |
| 15 | 14 | |
| 16 | 11 | |
| 17 | 11 | |
| 18 | 5 | |
| 19 | 3 | |
| 20 | 22 |
About Lucia Migliorelli
Lucia Migliorelli is a scholar working on Instrumentation, Physical Therapy, Sports Therapy and Rehabilitation and Pediatrics, Perinatology and Child Health, having authored 29 papers that have together received 251 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (8 papers), Infant Development and Preterm Care (7 papers) and Context-Aware Activity Recognition Systems (4 papers). The work is most often cited by research in Health Informatics (20 citations), Computer Vision and Pattern Recognition (67 citations) and Human-Computer Interaction (16 citations). Lucia Migliorelli has collaborated with scholars based in Italy, Portugal and United States. Frequent co-authors include Sara Moccia, Emanuele Frontoni, Virgilio Carnielli, Cristina P. Santos, Adriano Mancini, Sara Casaccia, Marina Paolanti, Micaela Morettini, Lorenzo Scalise and Laura Burattini. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Transactions on Biomedical Engineering.
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.