Laura Cercenelli
- Surgery top 5%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Pulmonary and Respiratory Medicine top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Emanuela MarcelliBarbara BortolaniClaudio MarchettiGianni PlicchiGiovanni BadialiAchille TarsitanoSalvatore BattagliaVincenzo Ferrari
- Topics
- Surgical Simulation and Training (22 papers)Anatomy and Medical Technology (17 papers)Augmented Reality Applications (12 papers)
- Partner nations
- ItalySwitzerlandNetherlands
In The Last Decade
Laura Cercenelli
91 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 107
- Surgery 560
- Biomedical Engineering 414
- Computer Vision and Pattern Recognition 224
- Pulmonary and Respiratory Medicine 223
- Cardiology and Cardiovascular Medicine 170
Countries citing papers authored by Laura Cercenelli
This map shows the geographic impact of Laura Cercenelli'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 Laura Cercenelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Cercenelli more than expected).
Fields of papers citing papers by Laura Cercenelli
This network shows the impact of papers produced by Laura Cercenelli. 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 Laura Cercenelli. The network helps show where Laura Cercenelli may publish in the future.
Co-authorship network of co-authors of Laura Cercenelli
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Cercenelli. A scholar is included among the top collaborators of Laura Cercenelli 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 Laura Cercenelli. Laura Cercenelli 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 12 | |
| 12 | 5 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 41 | |
| 16 | 4 | |
| 17 | 51 | |
| 18 | 5 | |
| 19 | 36 | |
| 20 | Influence of textured backgrounds on fusional vergence: preliminary results using an eye tracker | 2 |
About Laura Cercenelli
Laura Cercenelli is a scholar working on Otorhinolaryngology, General Dentistry and Cardiology and Cardiovascular Medicine, having authored 96 papers that have together received 1.1k indexed citations. Recurring topics across this work include Surgical Simulation and Training (22 papers), Anatomy and Medical Technology (17 papers) and Augmented Reality Applications (12 papers). The work is most often cited by research in Oral Surgery (94 citations), Surgery (560 citations) and Computer Vision and Pattern Recognition (224 citations). Laura Cercenelli has collaborated with scholars based in Italy, Switzerland and Netherlands. Frequent co-authors include Emanuela Marcelli, Barbara Bortolani, Claudio Marchetti, Gianni Plicchi, Giovanni Badiali, Achille Tarsitano, Salvatore Battaglia, Vincenzo Ferrari, Fabrizio Cutolo and Riccardo Cipriani. Their work appears in journals such as Scientific Reports, The Journal of Urology 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.