Umberto Maniscalco
- Health Informatics top 0.5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Massimo EspositoGiuseppe De PietroCiro MennellaGiovanni PilatoRiccardo RizzoIgnazio InfantinoFilippo VellaAntonio Messina
- Topics
- Social Robot Interaction and HRI (4 papers)Stroke Rehabilitation and Recovery (4 papers)Reinforcement Learning in Robotics (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessRobotics and Autonomous Systems
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Umberto Maniscalco
29 papers receiving 459 citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Health Informatics 165
- Artificial Intelligence 96
- Radiology, Nuclear Medicine and Imaging 81
- Biomedical Engineering 67
- Computer Vision and Pattern Recognition 50
Countries citing papers authored by Umberto Maniscalco
This map shows the geographic impact of Umberto Maniscalco'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 Umberto Maniscalco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umberto Maniscalco more than expected).
Fields of papers citing papers by Umberto Maniscalco
This network shows the impact of papers produced by Umberto Maniscalco. 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 Umberto Maniscalco. The network helps show where Umberto Maniscalco may publish in the future.
Co-authorship network of co-authors of Umberto Maniscalco
This figure shows the co-authorship network connecting the top 25 collaborators of Umberto Maniscalco. A scholar is included among the top collaborators of Umberto Maniscalco 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 Umberto Maniscalco. Umberto Maniscalco 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 | Ethical and regulatory challenges of AI technologies in healthcare: A narrative reviewbreakdown → | 314 |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 18 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 6 | |
| 13 | 9 | |
| 14 | 8 | |
| 15 | 3 | |
| 16 | An agent-based system for maritime search and rescue operations. | 4 |
| 17 | 0 | |
| 18 | 13 | |
| 19 | 4 | |
| 20 | 6 |
About Umberto Maniscalco
Umberto Maniscalco is a scholar working on Health Informatics, Rehabilitation and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 482 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (4 papers), Stroke Rehabilitation and Recovery (4 papers) and Reinforcement Learning in Robotics (4 papers). The work is most often cited by research in Health Informatics (165 citations), Health Information Management (42 citations) and Medical Laboratory Technology (8 citations). Umberto Maniscalco has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Massimo Esposito, Giuseppe De Pietro, Ciro Mennella, Giovanni Pilato, Riccardo Rizzo, Ignazio Infantino, Filippo Vella, Antonio Messina, Agnese Augello and Giuseppe Mazzola. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Robotics and Autonomous Systems.
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.