Matteo Dunnhofer
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Surgery
- Artificial Intelligence
- Co-authors
- Christian MicheloniNiki MartinelDavide FontanarosaMaria AnticoGustavo CarneiroFumio SasazawaGian Luca ForestiAntonino Furnari
- Topics
- Video Surveillance and Tracking Methods (7 papers)Advanced Neural Network Applications (3 papers)Advanced Radiotherapy Techniques (3 papers)
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- International Journal of Computer VisionSustainabilityIEEE Transactions on Industrial Informatics
- Partner nations
- ItalyNetherlandsAustralia
In The Last Decade
Matteo Dunnhofer
19 papers receiving 231 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 102
- Biomedical Engineering 49
- Radiology, Nuclear Medicine and Imaging 48
- Surgery 44
- Artificial Intelligence 30
Countries citing papers authored by Matteo Dunnhofer
This map shows the geographic impact of Matteo Dunnhofer'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 Matteo Dunnhofer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Dunnhofer more than expected).
Fields of papers citing papers by Matteo Dunnhofer
This network shows the impact of papers produced by Matteo Dunnhofer. 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 Matteo Dunnhofer. The network helps show where Matteo Dunnhofer may publish in the future.
Co-authorship network of co-authors of Matteo Dunnhofer
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Dunnhofer. A scholar is included among the top collaborators of Matteo Dunnhofer 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 Matteo Dunnhofer. Matteo Dunnhofer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 10 | |
| 7 | 23 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 17 | |
| 11 | 24 | |
| 12 | 2 | |
| 13 | Improving MRI-based Knee Disorder Diagnosis with Pyramidal Feature Details | 9 |
| 14 | 57 | |
| 15 | 10 | |
| 16 | 33 | |
| 17 | 0 | |
| 18 | One-class Gaussian process regressor for quality assessment of transperineal ultrasound images | 2 |
| 19 | 1 | |
| 20 | 16 |
About Matteo Dunnhofer
Matteo Dunnhofer is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality, having authored 20 papers that have together received 238 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Advanced Neural Network Applications (3 papers) and Advanced Radiotherapy Techniques (3 papers). The work is most often cited by research in Health Informatics (15 citations), Computer Vision and Pattern Recognition (102 citations) and Radiology, Nuclear Medicine and Imaging (48 citations). Matteo Dunnhofer has collaborated with scholars based in Italy, Netherlands and Australia. Frequent co-authors include Christian Micheloni, Niki Martinel, Davide Fontanarosa, Maria Antico, Gustavo Carneiro, Fumio Sasazawa, Gian Luca Foresti, Antonino Furnari, Yu Takeda and Giovanni Maria Farinella. Their work appears in journals such as International Journal of Computer Vision, Sustainability and IEEE Transactions on Industrial Informatics.
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.