Brian Amberg

2.5k total citations · 2 hit papers
10 papers, 1.5k citations indexed

About

Brian Amberg is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Brian Amberg has authored 10 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 1 paper in Aerospace Engineering. Recurrent topics in Brian Amberg's work include Face recognition and analysis (7 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Face and Expression Recognition (5 papers). Brian Amberg is often cited by papers focused on Face recognition and analysis (7 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Face and Expression Recognition (5 papers). Brian Amberg collaborates with scholars based in Switzerland and United States. Brian Amberg's co-authors include Thomas Vetter, Sami Romdhani, Reinhard Knothe, Pascal Paysan, Andrew Blake, Andrew Fitzgibbon, Michael Tschannen and Stefan Brugger and has published in prestigious journals such as 2009 IEEE Conference on Computer Vision and Pattern Recognition and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Brian Amberg

9 papers receiving 1.5k citations

Hit Papers

A 3D Face Model for Pose and Illumination Invariant Face ... 2007 2026 2013 2019 2009 2007 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Amberg Switzerland 8 1.3k 594 193 130 128 10 1.5k
Sami Romdhani Switzerland 12 1.8k 1.4× 700 1.2× 290 1.5× 144 1.1× 137 1.1× 20 2.1k
Anastasios Roussos United Kingdom 16 860 0.7× 313 0.5× 129 0.7× 61 0.5× 106 0.8× 35 1.1k
Yanlin Weng China 14 1.3k 1.0× 622 1.0× 202 1.0× 271 2.1× 31 0.2× 30 1.5k
Thibaut Weise Switzerland 13 1.3k 1.1× 537 0.9× 142 0.7× 188 1.4× 162 1.3× 19 1.7k
Kiran Varanasi Germany 12 807 0.6× 443 0.7× 57 0.3× 161 1.2× 163 1.3× 24 948
Thabo Beeler United States 24 1.7k 1.4× 933 1.6× 132 0.7× 401 3.1× 52 0.4× 72 2.1k
Chenglei Wu United States 21 1.3k 1.0× 645 1.1× 45 0.2× 442 3.4× 218 1.7× 30 1.5k
Graham Fyffe United States 18 1.4k 1.1× 432 0.7× 56 0.3× 731 5.6× 71 0.6× 41 1.6k
Timo Bolkart Germany 12 1.4k 1.1× 701 1.2× 134 0.7× 241 1.9× 14 0.1× 30 1.6k
Reinhard Knothe Switzerland 4 840 0.7× 330 0.6× 149 0.8× 70 0.5× 14 0.1× 4 930

Countries citing papers authored by Brian Amberg

Since Specialization
Citations

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

Fields of papers citing papers by Brian Amberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Amberg

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

All Works

10 of 10 papers shown
1.
Brugger, Stefan, et al.. (2022). Neural Face Video Compression using Multiple Views. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 1737–1741. 9 indexed citations
2.
Amberg, Brian & Thomas Vetter. (2011). GraphTrack: Fast and globally optimal tracking in videos. 1209–1216. 3 indexed citations
3.
Amberg, Brian & Thomas Vetter. (2011). Optimal landmark detection using shape models and branch and bound. 455–462. 37 indexed citations
4.
Paysan, Pascal, Reinhard Knothe, Brian Amberg, Sami Romdhani, & Thomas Vetter. (2009). A 3D Face Model for Pose and Illumination Invariant Face Recognition. 296–301. 788 indexed citations breakdown →
5.
Amberg, Brian, Andrew Blake, & Thomas Vetter. (2009). On compositional Image Alignment, with an application to Active Appearance Models. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 1714–1721. 24 indexed citations
6.
Amberg, Brian. (2008). Expression Invariant Face Recognition with a 3DMM. 1 indexed citations
7.
Amberg, Brian, Reinhard Knothe, & Thomas Vetter. (2008). Expression invariant 3D face recognition with a Morphable Model. 1–6. 115 indexed citations
8.
Amberg, Brian, Reinhard Knothe, & Thomas Vetter. (2008). SHREC’08 entry: Shape based face recognition with a Morphable Model. 253–254. 9 indexed citations
9.
Amberg, Brian, Sami Romdhani, & Thomas Vetter. (2007). Optimal Step Nonrigid ICP Algorithms for Surface Registration. 1–8. 473 indexed citations breakdown →
10.
Amberg, Brian, Andrew Blake, Andrew Fitzgibbon, Sami Romdhani, & Thomas Vetter. (2007). Reconstructing High Quality Face-Surfaces using Model Based Stereo. 1–8. 55 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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