Matteo Dunnhofer

1.3k total citations
20 papers, 238 citations indexed

About

Matteo Dunnhofer is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Matteo Dunnhofer has authored 20 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Biomedical Engineering. Recurrent topics in Matteo Dunnhofer's work include Video Surveillance and Tracking Methods (7 papers), Advanced Neural Network Applications (3 papers) and Advanced Radiotherapy Techniques (3 papers). Matteo Dunnhofer is often cited by papers focused on Video Surveillance and Tracking Methods (7 papers), Advanced Neural Network Applications (3 papers) and Advanced Radiotherapy Techniques (3 papers). Matteo Dunnhofer collaborates with scholars based in Italy, Netherlands and Australia. Matteo Dunnhofer's co-authors include Christian Micheloni, Niki Martinel, Gustavo Carneiro, Maria Antico, Davide Fontanarosa, Fumio Sasazawa, Gian Luca Foresti, Giovanni Maria Farinella, Antonino Furnari and Yu Takeda and has published in prestigious journals such as International Journal of Computer Vision, Sustainability and IEEE Transactions on Industrial Informatics.

In The Last Decade

Matteo Dunnhofer

19 papers receiving 231 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matteo Dunnhofer Italy 9 102 49 48 44 30 20 238
Justus Schock Germany 10 84 0.8× 87 1.8× 98 2.0× 106 2.4× 55 1.8× 28 378
Leonardo Tanzi Italy 9 84 0.8× 121 2.5× 82 1.7× 77 1.8× 37 1.2× 12 320
Siqi Liang China 11 60 0.6× 58 1.2× 39 0.8× 24 0.5× 39 1.3× 32 244
Jérôme Schmid Switzerland 11 108 1.1× 163 3.3× 59 1.2× 212 4.8× 33 1.1× 30 419
Sanaz Karimijafarbigloo Germany 3 94 0.9× 45 0.9× 71 1.5× 12 0.3× 58 1.9× 5 252
Khaled Harrar Algeria 10 76 0.7× 67 1.4× 76 1.6× 25 0.6× 85 2.8× 29 303
Yutao Li China 6 75 0.7× 15 0.3× 48 1.0× 30 0.7× 54 1.8× 11 371
Jingyang Zhang China 9 162 1.6× 73 1.5× 160 3.3× 33 0.8× 112 3.7× 20 323
Zelong Liu China 10 62 0.6× 69 1.4× 141 2.9× 20 0.5× 104 3.5× 27 355
Shuhuan Wang China 7 127 1.2× 15 0.3× 61 1.3× 124 2.8× 29 1.0× 11 349

Countries citing papers authored by Matteo Dunnhofer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Dunnhofer, Matteo, et al.. (2025). LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones. 7008–7018. 2 indexed citations
2.
Dunnhofer, Matteo & Christian Micheloni. (2024). Visual tracking in camera-switching outdoor sport videos: Benchmark and baselines for skiing. Computer Vision and Image Understanding. 243. 103978–103978. 5 indexed citations
3.
Dunnhofer, Matteo, et al.. (2024). Tracking Skiers from the Top to the Bottom. 8496–8506. 3 indexed citations
4.
Dunnhofer, Matteo, et al.. (2023). Visualizing Skiers' Trajectories in Monocular Videos. 5188–5198. 6 indexed citations
5.
Dunnhofer, Matteo, Niki Martinel, & Christian Micheloni. (2022). Deep convolutional feature details for better knee disorder diagnoses in magnetic resonance images. Computerized Medical Imaging and Graphics. 102. 102142–102142. 7 indexed citations
6.
Dunnhofer, Matteo, Antonino Furnari, Giovanni Maria Farinella, & Christian Micheloni. (2022). Visual Object Tracking in First Person Vision. International Journal of Computer Vision. 131(1). 259–283. 23 indexed citations
7.
Dunnhofer, Matteo, et al.. (2022). Combining complementary trackers for enhanced long-term visual object tracking. Image and Vision Computing. 122. 104448–104448. 10 indexed citations
8.
Dunnhofer, Matteo & Christian Micheloni. (2022). CoCoLoT: Combining Complementary Trackers in Long-Term Visual Tracking. 2022 26th International Conference on Pattern Recognition (ICPR). 5132–5139. 5 indexed citations
9.
Dunnhofer, Matteo, et al.. (2022). Young drivers’ pedestrian anti-collision braking operation data modelling for ADAS development. Transportation research procedia. 60. 432–439. 6 indexed citations
10.
Martinel, Niki, et al.. (2021). Lord of the Rings: Hanoi Pooling and Self-Knowledge Distillation for Fast and Accurate Vehicle Reidentification. IEEE Transactions on Industrial Informatics. 18(1). 87–96. 17 indexed citations
11.
Dunnhofer, Matteo, Niki Martinel, & Christian Micheloni. (2021). Improving MRI-based Knee Disorder Diagnosis with Pyramidal Feature Details. Institutional Research Information System (University of Udine). 131–147. 9 indexed citations
12.
Dunnhofer, Matteo, et al.. (2021). Bituminous Mixtures Experimental Data Modeling Using a Hyperparameters-Optimized Machine Learning Approach. Applied Sciences. 11(24). 11710–11710. 24 indexed citations
13.
Dunnhofer, Matteo, et al.. (2021). Surrogate Safety Measures Prediction at Multiple Timescales in V2P Conflicts Based on Gated Recurrent Unit. Sustainability. 13(17). 9681–9681. 2 indexed citations
14.
Dunnhofer, Matteo, Maria Antico, Fumio Sasazawa, et al.. (2019). Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images. Medical Image Analysis. 60. 101631–101631. 57 indexed citations
15.
Carneiro, Gustavo, Christopher Edwards, Maria Antico, et al.. (2019). Automatic Quality Assessment of Transperineal Ultrasound Images of the Male Pelvic Region, Using Deep Learning. Ultrasound in Medicine & Biology. 46(2). 445–454. 10 indexed citations
16.
Antico, Maria, Fumio Sasazawa, Matteo Dunnhofer, et al.. (2019). Deep Learning-Based Femoral Cartilage Automatic Segmentation in Ultrasound Imaging for Guidance in Robotic Knee Arthroscopy. Ultrasound in Medicine & Biology. 46(2). 422–435. 33 indexed citations
17.
Edwards, Christopher, Maria Antico, Matteo Dunnhofer, et al.. (2018). Quality Assessment of Transperineal Ultrasound Images of the Male Pelvic Region Using Deep Learning. Research Publications (Maastricht University). 1–4.
18.
Fontanarosa, Davide, Christopher Edwards, Maria Antico, et al.. (2018). One-class Gaussian process regressor for quality assessment of transperineal ultrasound images. QUT ePrints (Queensland University of Technology). 2 indexed citations
19.
Martinel, Niki, et al.. (2018). Unsupervised Smoke Detection in Normally Smoking Environments. Institutional Research Information System (University of Udine). 1–6. 1 indexed citations
20.
Martinel, Niki, Matteo Dunnhofer, Gian Luca Foresti, & Christian Micheloni. (2017). Person Re-Identification via Unsupervised Transfer of Learned Visual Representations. Institutional Research Information System (University of Udine). 151–156. 16 indexed citations

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.

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