Lucia Migliorelli
- Health Informatics top 10%
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- Context-Aware Activity Recognition Systems 4
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- Neonatal Respiratory Health Research 8
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- Infant Development and Preterm Care 7
- Neonatal and fetal brain pathology 3
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- Non-Invasive Vital Sign Monitoring 3
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- Heart Rate Variability and Autonomic Control 2
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- Diabetic Foot Ulcer Assessment and Management 2
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- Stroke Rehabilitation and Recovery 2
- Co-authors
- Sara MocciaEmanuele FrontoniVirgilio CarnielliCristina P. SantosAdriano ManciniSara CasacciaMarina PaolantiMicaela Morettini
- Journals
- SHILAP Revista de lepidopterología (2 papers)Expert Systems with Applications (3 papers)IEEE Transactions on Biomedical Engineering (1 paper)
- Partner nations
- ItalyPortugalUnited States
In The Last Decade
Lucia Migliorelli
28 papers receiving 242 citations
Peers
Comparison fields: 5 of 82
- Health Informatics 20
- Computer Vision and Pattern Recognition 67
- Human-Computer Interaction 16
- Health Information Management 11
- Physical Therapy, Sports Therapy and Rehabilitation 10
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
The 25 scholars most cited alongside Lucia Migliorelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 16 | |
| 13 | 2021 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 14 | |
| 16 | 2020 | 11 | |
| 17 | 2019 | 11 | |
| 18 | 2019 | 5 | |
| 19 | 2019 | 3 | |
| 20 | 2017 | 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), Context-Aware Activity Recognition Systems (4 papers), Neonatal and fetal brain pathology (3 papers), Non-Invasive Vital Sign Monitoring (3 papers), Heart Rate Variability and Autonomic Control (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers) and Stroke Rehabilitation and Recovery (2 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.