Giuseppe Megali
- Biomedical Engineering top 10%
- Surgery top 10%
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering
- Cognitive Neuroscience
- Co-authors
- Paolo DarioOliver TonetMatteo CacciolaFrancesco Carlo MorabitoAndrea PietrabissaMaria Chiara CarrozzaFranco MoscaMaurilio Marcacci
- Topics
- Surgical Simulation and Training (16 papers)Augmented Reality Applications (15 papers)Non-Destructive Testing Techniques (11 papers)
- Partner nations
- ItalyUnited KingdomJapan
In The Last Decade
Giuseppe Megali
43 papers receiving 634 citations
Peers
Comparison fields: 5 of 96
- Biomedical Engineering 336
- Surgery 289
- Computer Vision and Pattern Recognition 214
- Mechanical Engineering 92
- Cognitive Neuroscience 82
Countries citing papers authored by Giuseppe Megali
This map shows the geographic impact of Giuseppe Megali'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 Giuseppe Megali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Megali more than expected).
Fields of papers citing papers by Giuseppe Megali
This network shows the impact of papers produced by Giuseppe Megali. 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 Giuseppe Megali. The network helps show where Giuseppe Megali may publish in the future.
Co-authorship network of co-authors of Giuseppe Megali
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Megali. A scholar is included among the top collaborators of Giuseppe Megali 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 Giuseppe Megali. Giuseppe Megali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 12 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | Evaluating Soft Computing Techniques for Path Loss Estimation in Urban Environments | 3 |
| 7 | 15 | |
| 8 | 44 | |
| 9 | 17 | |
| 10 | 20 | |
| 11 | Improving daily clinical practice with 3D patientspecific anatomical models: limits, methodologies and our experience | 0 |
| 12 | 65 | |
| 13 | 37 | |
| 14 | 16 | |
| 15 | A biomechanical analysis of surgeon's gesture in a laparoscopic virtual scenario. | 19 |
| 16 | 1 | |
| 17 | 83 | |
| 18 | 11 | |
| 19 | 6 | |
| 20 | 2 |
About Giuseppe Megali
Giuseppe Megali is a scholar working on Computer Vision and Pattern Recognition, Geology and Surgery, having authored 44 papers that have together received 662 indexed citations. Recurring topics across this work include Surgical Simulation and Training (16 papers), Augmented Reality Applications (15 papers) and Non-Destructive Testing Techniques (11 papers). The work is most often cited by research in Human-Computer Interaction (60 citations), Computer Vision and Pattern Recognition (214 citations) and Biomedical Engineering (336 citations). Giuseppe Megali has collaborated with scholars based in Italy, United Kingdom and Japan. Frequent co-authors include Paolo Dario, Oliver Tonet, Matteo Cacciola, Francesco Carlo Morabito, Andrea Pietrabissa, Maria Chiara Carrozza, Franco Mosca, Maurilio Marcacci, Vincenzo Ferrari and Filippo Cavallo. Their work appears in journals such as Annals of Surgery, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Robotics.
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.