Tommaso Mansi
- Cardiology and Cardiovascular Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering top 10%
- Surgery
- Co-authors
- Nicholas AyacheHervé DelingetteMaxime SermesantDorin ComaniciuShun MiaoRui LiaoAli KamenXavier Pennec
- Topics
- Medical Image Segmentation Techniques (16 papers)Cardiac electrophysiology and arrhythmias (14 papers)Cardiac Valve Diseases and Treatments (13 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Tommaso Mansi
78 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 113
- Cardiology and Cardiovascular Medicine 649
- Radiology, Nuclear Medicine and Imaging 646
- Computer Vision and Pattern Recognition 481
- Biomedical Engineering 442
- Surgery 220
Countries citing papers authored by Tommaso Mansi
This map shows the geographic impact of Tommaso Mansi'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 Tommaso Mansi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tommaso Mansi more than expected).
Fields of papers citing papers by Tommaso Mansi
This network shows the impact of papers produced by Tommaso Mansi. 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 Tommaso Mansi. The network helps show where Tommaso Mansi may publish in the future.
Co-authorship network of co-authors of Tommaso Mansi
This figure shows the co-authorship network connecting the top 25 collaborators of Tommaso Mansi. A scholar is included among the top collaborators of Tommaso Mansi 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 Tommaso Mansi. Tommaso Mansi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2 |
| 7 | 18 | |
| 8 | Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges: 5th International Workshop, STACOM 2014, Held in ... September 18, 2014, Revised Selected Papers | 2 |
| 9 | 68 | |
| 10 | Challenges to Validate Multi-physics Model of Liver Tumor Radiofrequency Ablation from Pre-clinical Data | 1 |
| 11 | Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges Third International Workshop, STACOM 2012, Held in ... Vision, Pattern Recognition, and Graphics) | 1 |
| 12 | 15 | |
| 13 | 24 | |
| 14 | 75 | |
| 15 | 5 | |
| 16 | 148 | |
| 17 | 19 | |
| 18 | 5 | |
| 19 | 53 | |
| 20 | 36 |
About Tommaso Mansi
Tommaso Mansi is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 80 papers that have together received 1.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (16 papers), Cardiac electrophysiology and arrhythmias (14 papers) and Cardiac Valve Diseases and Treatments (13 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (649 citations), Radiology, Nuclear Medicine and Imaging (646 citations) and Computer Vision and Pattern Recognition (481 citations). Tommaso Mansi has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Nicholas Ayache, Hervé Delingette, Maxime Sermesant, Dorin Comaniciu, Shun Miao, Rui Liao, Ali Kamen, Xavier Pennec, Neda Bernasconi and Julian Krebs. Their work appears in journals such as Circulation, Nature Communications and Gastroenterology.
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.