Matthias Dantone

1.6k total citations · 1 hit paper
8 papers, 880 citations indexed

About

Matthias Dantone is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Industrial and Manufacturing Engineering. According to data from OpenAlex, Matthias Dantone has authored 8 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 2 papers in Human-Computer Interaction and 1 paper in Industrial and Manufacturing Engineering. Recurrent topics in Matthias Dantone's work include Face recognition and analysis (5 papers), Video Surveillance and Tracking Methods (5 papers) and Human Pose and Action Recognition (4 papers). Matthias Dantone is often cited by papers focused on Face recognition and analysis (5 papers), Video Surveillance and Tracking Methods (5 papers) and Human Pose and Action Recognition (4 papers). Matthias Dantone collaborates with scholars based in Switzerland, Belgium and Germany. Matthias Dantone's co-authors include Luc Van Gool, Jüergen Gall, Gabriele Fanelli, Andrea Fossati, Giulia Fanelli, Christian Leistner, Lukas Bossard, Till Quack, Jelena Tešić and Rasmus Rothe and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Lirias (KU Leuven).

In The Last Decade

Matthias Dantone

8 papers receiving 837 citations

Hit Papers

Random Forests for Real Time 3D Face Analysis 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Dantone Switzerland 6 777 145 115 103 61 8 880
Gabriele Fanelli Switzerland 8 803 1.0× 198 1.4× 128 1.1× 128 1.2× 82 1.3× 12 970
Chris Bregler United States 9 786 1.0× 203 1.4× 48 0.4× 204 2.0× 106 1.7× 14 914
Epameinondas Antonakos United Kingdom 11 1.0k 1.3× 97 0.7× 322 2.8× 57 0.6× 30 0.5× 20 1.2k
Atul Kanaujia United States 10 703 0.9× 138 1.0× 50 0.4× 220 2.1× 143 2.3× 17 791
Won‐Sook Lee Canada 15 249 0.3× 62 0.4× 153 1.3× 118 1.1× 56 0.9× 72 666
José M. Buenaposada Spain 14 522 0.7× 38 0.3× 102 0.9× 58 0.6× 25 0.4× 31 626
Evangelos Ververas United Kingdom 8 826 1.1× 65 0.4× 230 2.0× 116 1.1× 33 0.5× 10 1.0k
Mohammed Rziza Morocco 13 398 0.5× 39 0.3× 130 1.1× 82 0.8× 84 1.4× 89 651
Jianqin Yin China 14 555 0.7× 160 1.1× 39 0.3× 250 2.4× 216 3.5× 84 792
Jenn-Jier James Lien Taiwan 12 480 0.6× 55 0.4× 60 0.5× 66 0.6× 35 0.6× 41 658

Countries citing papers authored by Matthias Dantone

Since Specialization
Citations

This map shows the geographic impact of Matthias Dantone'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 Matthias Dantone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Dantone more than expected).

Fields of papers citing papers by Matthias Dantone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthias Dantone. 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 Matthias Dantone. The network helps show where Matthias Dantone may publish in the future.

Co-authorship network of co-authors of Matthias Dantone

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Dantone. A scholar is included among the top collaborators of Matthias Dantone 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 Matthias Dantone. Matthias Dantone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Rothe, Rasmus, et al.. (2015). Discriminative learning of apparel features. Lirias (KU Leuven). 5–9. 2 indexed citations
2.
Dantone, Matthias, Jüergen Gall, Christian Leistner, & Luc Van Gool. (2014). Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(11). 2131–2143. 44 indexed citations
3.
Dantone, Matthias, Jüergen Gall, Christian Leistner, & Luc Van Gool. (2013). Human Pose Estimation Using Body Parts Dependent Joint Regressors. Lirias (KU Leuven). 3041–3048. 168 indexed citations
4.
Fanelli, Gabriele, Matthias Dantone, & Luc Van Gool. (2013). Real time 3D face alignment with Random Forests-based Active Appearance Models. Lirias (KU Leuven). 1–8. 38 indexed citations
5.
Fanelli, Gabriele, Matthias Dantone, Jüergen Gall, Andrea Fossati, & Luc Van Gool. (2012). Random Forests for Real Time 3D Face Analysis. International Journal of Computer Vision. 101(3). 437–458. 367 indexed citations breakdown →
6.
Dantone, Matthias, Jüergen Gall, Giulia Fanelli, & Luc Van Gool. (2012). Real-time facial feature detection using conditional regression forests. Lirias (KU Leuven). 2578–2585. 241 indexed citations
7.
Dantone, Matthias, Lukas Bossard, Till Quack, & Luc Van Gool. (2011). Augmented faces. Lirias (KU Leuven). 24–31. 18 indexed citations
8.
Dantone, Matthias, et al.. (2010). Multimedia Event Detection (MED) Evaluation Task.. TRECVID. 2 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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