Sara Condino
- Surgery top 5%
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering top 10%
- Human-Computer Interaction top 2%
- Pulmonary and Respiratory Medicine
- Co-authors
- Vincenzo FerrariMarina CarboneMauro FerrariMarco GesiRosanna Maria ViglialoroGiuseppe TuriniFabrizio CutoloRoberta Piazza
- Topics
- Surgical Simulation and Training (34 papers)Augmented Reality Applications (31 papers)Anatomy and Medical Technology (24 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- ItalyUnited StatesChina
In The Last Decade
Sara Condino
72 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 112
- Surgery 662
- Computer Vision and Pattern Recognition 534
- Biomedical Engineering 468
- Human-Computer Interaction 223
- Pulmonary and Respiratory Medicine 102
Countries citing papers authored by Sara Condino
This map shows the geographic impact of Sara Condino'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 Sara Condino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Condino more than expected).
Fields of papers citing papers by Sara Condino
This network shows the impact of papers produced by Sara Condino. 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 Sara Condino. The network helps show where Sara Condino may publish in the future.
Co-authorship network of co-authors of Sara Condino
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Condino. A scholar is included among the top collaborators of Sara Condino 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 Sara Condino. Sara Condino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 7 | |
| 7 | 17 | |
| 8 | 5 | |
| 9 | 15 | |
| 10 | 8 | |
| 11 | 4 | |
| 12 | 8 | |
| 13 | 7 | |
| 14 | 16 | |
| 15 | 32 | |
| 16 | 12 | |
| 17 | 6 | |
| 18 | Optimal design of patient specific templates for pedicle spinescrew placement | 1 |
| 19 | 29 | |
| 20 | 12 |
About Sara Condino
Sara Condino is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Surgery, having authored 74 papers that have together received 1.2k indexed citations. Recurring topics across this work include Surgical Simulation and Training (34 papers), Augmented Reality Applications (31 papers) and Anatomy and Medical Technology (24 papers). The work is most often cited by research in Human-Computer Interaction (223 citations), Computer Vision and Pattern Recognition (534 citations) and Surgery (662 citations). Sara Condino has collaborated with scholars based in Italy, United States and China. Frequent co-authors include Vincenzo Ferrari, Marina Carbone, Mauro Ferrari, Marco Gesi, Rosanna Maria Viglialoro, Giuseppe Turini, Fabrizio Cutolo, Roberta Piazza, Paolo Domenico Parchi and Nicola Piolanti. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.