Stanislao Grazioso
- Biomedical Engineering top 10%
- Control and Systems Engineering top 5%
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Social Psychology
- Co-authors
- Giuseppe Di GironimoBruno SicilianoTeodorico CaporasoMario SelvaggioAntonio LanzottiGennaro NotomistaAnnarita TedescoMichael Botsch
- Topics
- Soft Robotics and Applications (11 papers)Ergonomics and Musculoskeletal Disorders (9 papers)Robot Manipulation and Learning (7 papers)
- Partner nations
- ItalyFranceUnited Kingdom
In The Last Decade
Stanislao Grazioso
53 papers receiving 676 citations
Peers
Comparison fields: 5 of 99
- Biomedical Engineering 301
- Control and Systems Engineering 174
- Mechanical Engineering 139
- Computer Vision and Pattern Recognition 95
- Social Psychology 74
Countries citing papers authored by Stanislao Grazioso
This map shows the geographic impact of Stanislao Grazioso'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 Stanislao Grazioso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanislao Grazioso more than expected).
Fields of papers citing papers by Stanislao Grazioso
This network shows the impact of papers produced by Stanislao Grazioso. 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 Stanislao Grazioso. The network helps show where Stanislao Grazioso may publish in the future.
Co-authorship network of co-authors of Stanislao Grazioso
This figure shows the co-authorship network connecting the top 25 collaborators of Stanislao Grazioso. A scholar is included among the top collaborators of Stanislao Grazioso 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 Stanislao Grazioso. Stanislao Grazioso 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 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 65 | |
| 6 | 22 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | 12 | |
| 10 | 16 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 19 | |
| 14 | 163 | |
| 15 | 9 | |
| 16 | 14 | |
| 17 | 9 | |
| 18 | 6 | |
| 19 | 18 | |
| 20 | 50 |
About Stanislao Grazioso
Stanislao Grazioso is a scholar working on Medical Laboratory Technology, Physical Therapy, Sports Therapy and Rehabilitation and Orthopedics and Sports Medicine, having authored 56 papers that have together received 696 indexed citations. Recurring topics across this work include Soft Robotics and Applications (11 papers), Ergonomics and Musculoskeletal Disorders (9 papers) and Robot Manipulation and Learning (7 papers). The work is most often cited by research in Medical Laboratory Technology (12 citations), Control and Systems Engineering (174 citations) and Biomedical Engineering (301 citations). Stanislao Grazioso has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Giuseppe Di Gironimo, Bruno Siciliano, Teodorico Caporaso, Mario Selvaggio, Antonio Lanzotti, Gennaro Notomista, Annarita Tedesco, Michael Botsch, Francesco Carbone and M. Gospodarczyk. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 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.