Lucia Pepa
- Biomedical Engineering
- Physical Therapy, Sports Therapy and Rehabilitation top 5%
- Experimental and Cognitive Psychology top 10%
- Neurology
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Marianna CapecciMaria Gabriella CeravoloLucio CiabattoniLuca SpalazziFederica VerdiniLuca RomeoAndrea MonteriùSauro Longhi
- Topics
- Parkinson's Disease Mechanisms and Treatments (12 papers)Emotion and Mood Recognition (7 papers)Balance, Gait, and Falls Prevention (6 papers)
- Cited by
- Physical Therapy, Sports Therapy and RehabilitationExperimental and Cognitive PsychologyNeurology
- Partner nations
- ItalyUnited Kingdom
In The Last Decade
Lucia Pepa
29 papers receiving 455 citations
Peers
Comparison fields: 5 of 85
- Biomedical Engineering 159
- Physical Therapy, Sports Therapy and Rehabilitation 107
- Experimental and Cognitive Psychology 93
- Neurology 83
- Computer Vision and Pattern Recognition 76
Countries citing papers authored by Lucia Pepa
This map shows the geographic impact of Lucia Pepa'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 Pepa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucia Pepa more than expected).
Fields of papers citing papers by Lucia Pepa
This network shows the impact of papers produced by Lucia Pepa. 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 Pepa. The network helps show where Lucia Pepa may publish in the future.
Co-authorship network of co-authors of Lucia Pepa
This figure shows the co-authorship network connecting the top 25 collaborators of Lucia Pepa. A scholar is included among the top collaborators of Lucia Pepa 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 Pepa. Lucia Pepa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 21 | |
| 8 | 23 | |
| 9 | 23 | |
| 10 | 35 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 44 | |
| 17 | 64 | |
| 18 | 72 | |
| 19 | 7 | |
| 20 | 41 |
About Lucia Pepa
Lucia Pepa is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Occupational Therapy and Neurology, having authored 31 papers that have together received 469 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (12 papers), Emotion and Mood Recognition (7 papers) and Balance, Gait, and Falls Prevention (6 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (107 citations), Experimental and Cognitive Psychology (93 citations) and Neurology (83 citations). Lucia Pepa has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include Marianna Capecci, Maria Gabriella Ceravolo, Lucio Ciabattoni, Luca Spalazzi, Federica Verdini, Luca Romeo, Andrea Monteriù, Sauro Longhi, Francesco Ferracuti and Massimiliano Pontil. Their work appears in journals such as Expert Systems with Applications, Sensors and Gait & Posture.
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.