Lia Morra
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Pulmonary and Respiratory Medicine
- Oncology
- Co-authors
- Fabrizio LambertiSilvia DelsantoAlberto BertAlberto CannavòDaniele ReggeLuca Alessandro CarbonaroKatja PinkerClaudio Giovanni Demartini
- Topics
- Radiomics and Machine Learning in Medical Imaging (12 papers)AI in cancer detection (10 papers)MRI in cancer diagnosis (5 papers)
- Partner nations
- ItalyUnited StatesAustria
In The Last Decade
Lia Morra
46 papers receiving 720 citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Radiology, Nuclear Medicine and Imaging 307
- Artificial Intelligence 282
- Computer Vision and Pattern Recognition 159
- Pulmonary and Respiratory Medicine 99
- Oncology 77
Countries citing papers authored by Lia Morra
This map shows the geographic impact of Lia Morra'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 Lia Morra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lia Morra more than expected).
Fields of papers citing papers by Lia Morra
This network shows the impact of papers produced by Lia Morra. 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 Lia Morra. The network helps show where Lia Morra may publish in the future.
Co-authorship network of co-authors of Lia Morra
This figure shows the co-authorship network connecting the top 25 collaborators of Lia Morra. A scholar is included among the top collaborators of Lia Morra 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 Lia Morra. Lia Morra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | Data augmentation for medical imaging: A systematic literature reviewbreakdown → | 195 |
| 9 | 2 | |
| 10 | 23 | |
| 11 | 30 | |
| 12 | 11 | |
| 13 | 12 | |
| 14 | 8 | |
| 15 | 40 | |
| 16 | 45 | |
| 17 | 33 | |
| 18 | 28 | |
| 19 | 20 | |
| 20 | 1 |
About Lia Morra
Lia Morra is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Modeling and Simulation, having authored 49 papers that have together received 749 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), AI in cancer detection (10 papers) and MRI in cancer diagnosis (5 papers). The work is most often cited by research in Health Informatics (26 citations), Radiology, Nuclear Medicine and Imaging (307 citations) and Artificial Intelligence (282 citations). Lia Morra has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Fabrizio Lamberti, Silvia Delsanto, Alberto Bert, Alberto Cannavò, Daniele Regge, Luca Alessandro Carbonaro, Katja Pinker, Claudio Giovanni Demartini, Uwe Meyer‐Baese and Anke Meyer‐Baese. Their work appears in journals such as Physical Review Letters, Scientific Reports and Radiology.
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.