Maria Antico
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Surgery
- Computer Vision and Pattern Recognition
- Pulmonary and Respiratory Medicine
- Co-authors
- Davide FontanarosaFumio SasazawaAjay K. PandeyGustavo CarneiroAnjali JaiprakashMatteo DunnhoferYu TakedaRoss Crawford
- Topics
- Photoacoustic and Ultrasonic Imaging (5 papers)Advanced Radiotherapy Techniques (5 papers)Total Knee Arthroplasty Outcomes (5 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingCritical Care and Intensive Care Medicine
- Partner nations
- AustraliaNetherlandsJapan
In The Last Decade
Maria Antico
23 papers receiving 258 citations
Peers
Comparison fields: 5 of 63
- Radiology, Nuclear Medicine and Imaging 102
- Biomedical Engineering 98
- Surgery 87
- Computer Vision and Pattern Recognition 57
- Pulmonary and Respiratory Medicine 39
Countries citing papers authored by Maria Antico
This map shows the geographic impact of Maria Antico'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 Maria Antico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Antico more than expected).
Fields of papers citing papers by Maria Antico
This network shows the impact of papers produced by Maria Antico. 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 Maria Antico. The network helps show where Maria Antico may publish in the future.
Co-authorship network of co-authors of Maria Antico
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Antico. A scholar is included among the top collaborators of Maria Antico 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 Maria Antico. Maria Antico 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 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 3 | |
| 11 | 16 | |
| 12 | 7 | |
| 13 | 57 | |
| 14 | 10 | |
| 15 | 33 | |
| 16 | 46 | |
| 17 | 14 | |
| 18 | 0 | |
| 19 | 1 | |
| 20 | One-class Gaussian process regressor for quality assessment of transperineal ultrasound images | 2 |
About Maria Antico
Maria Antico is a scholar working on Critical Care and Intensive Care Medicine, Radiation and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 262 indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (5 papers), Advanced Radiotherapy Techniques (5 papers) and Total Knee Arthroplasty Outcomes (5 papers). The work is most often cited by research in Health Informatics (21 citations), Radiology, Nuclear Medicine and Imaging (102 citations) and Critical Care and Intensive Care Medicine (22 citations). Maria Antico has collaborated with scholars based in Australia, Netherlands and Japan. Frequent co-authors include Davide Fontanarosa, Fumio Sasazawa, Ajay K. Pandey, Gustavo Carneiro, Anjali Jaiprakash, Matteo Dunnhofer, Yu Takeda, Ross Crawford, Jonathan Roberts and Liao Wu. Their work appears in journals such as PLoS ONE, 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.