Søren Hauberg

2.0k total citations
37 papers, 804 citations indexed

About

Søren Hauberg is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Søren Hauberg has authored 37 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 7 papers in Computational Mechanics. Recurrent topics in Søren Hauberg's work include Morphological variations and asymmetry (6 papers), Human Pose and Action Recognition (6 papers) and Human Motion and Animation (5 papers). Søren Hauberg is often cited by papers focused on Morphological variations and asymmetry (6 papers), Human Pose and Action Recognition (6 papers) and Human Motion and Animation (5 papers). Søren Hauberg collaborates with scholars based in Denmark, Germany and United States. Søren Hauberg's co-authors include David Bateman, François Lauze, Aasa Feragen, Nicki Skafte Detlefsen, Kim Steenstrup Pedersen, John W. Eaton, Wouter Boomsma, John W. Eaton, Michael J. Black and Oren Freifeld and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Søren Hauberg

34 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Søren Hauberg Denmark 15 279 157 152 105 91 37 804
Kim Steenstrup Pedersen Denmark 12 341 1.2× 154 1.0× 140 0.9× 31 0.3× 48 0.5× 39 874
Leo Dorst Netherlands 20 615 2.2× 163 1.0× 121 0.8× 28 0.3× 187 2.1× 65 1.3k
Agnès Desolneux France 14 643 2.3× 147 0.9× 127 0.8× 20 0.2× 45 0.5× 40 922
Gilad Lerman United States 17 391 1.4× 44 0.3× 192 1.3× 55 0.5× 253 2.8× 44 1.3k
Toshio Endo Japan 19 121 0.4× 270 1.7× 177 1.2× 73 0.7× 132 1.5× 105 1.8k
Konstantin Usevich France 16 174 0.6× 38 0.2× 60 0.4× 63 0.6× 168 1.8× 57 684
W.E. Snyder United States 14 801 2.9× 191 1.2× 153 1.0× 21 0.2× 94 1.0× 77 1.3k
Volodymyr Kindratenko United States 18 253 0.9× 101 0.6× 180 1.2× 45 0.4× 60 0.7× 81 1.2k
Tomáš Suk Czechia 21 1.9k 6.7× 204 1.3× 171 1.1× 53 0.5× 163 1.8× 56 2.5k
Massimo Ferri Italy 18 248 0.9× 172 1.1× 211 1.4× 36 0.3× 37 0.4× 87 1.2k

Countries citing papers authored by Søren Hauberg

Since Specialization
Citations

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

Fields of papers citing papers by Søren Hauberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Søren Hauberg

This figure shows the co-authorship network connecting the top 25 collaborators of Søren Hauberg. A scholar is included among the top collaborators of Søren Hauberg 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 Søren Hauberg. Søren Hauberg 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.
Delacroix, Sylvie, Diana Robinson, Umang Bhatt, et al.. (2025). Beyond Quantification: Navigating Uncertainty in Professional AI Systems. Research Portal (King's College London). 1(1).
2.
Hauberg, Søren, et al.. (2025). Foundation models of protein sequences: A brief overview. Current Opinion in Structural Biology. 91. 103004–103004. 1 indexed citations
3.
Sørensen, Hans Henrik Brandenborg, et al.. (2024). Accurate Computation of the Logarithm of Modified Bessel Functions on GPUs. arXiv (Cornell University). 213–224.
4.
Geng, Cong, Tian Han, Peng-Tao Jiang, et al.. (2024). Improving Adversarial Energy-Based Model via Diffusion Process. arXiv (Cornell University).
5.
Bartels, Simon, et al.. (2024). A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences. arXiv (Cornell University). 140478–140508. 1 indexed citations
6.
Detlefsen, Nicki Skafte, Søren Hauberg, & Wouter Boomsma. (2022). Learning meaningful representations of protein sequences. Nature Communications. 13(1). 1914–1914. 85 indexed citations
7.
Warburg, Frederik, et al.. (2022). Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization. IEEE Robotics and Automation Letters. 7(4). 9207–9214. 4 indexed citations
8.
Thagaard, Jeppe, Elisabeth Specht Stovgaard, Søren Hauberg, et al.. (2021). Automated Quantification of sTIL Density with H&E-Based Digital Image Analysis Has Prognostic Potential in Triple-Negative Breast Cancers. Cancers. 13(12). 3050–3050. 25 indexed citations
9.
Hauberg, Søren, et al.. (2019). Reliable training and estimation of variance networks. arXiv (Cornell University). 32. 6323–6333. 5 indexed citations
10.
Hauberg, Søren. (2018). Directional Statistics with the Spherical Normal Distribution. 704–711. 13 indexed citations
11.
Hauberg, Søren, et al.. (2016). Data-driven forward model inference for EEG brain imaging. NeuroImage. 139. 249–258. 11 indexed citations
12.
Hauberg, Søren, et al.. (2015). Scalable Robust Principal Component Analysis Using Grassmann Averages. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(11). 2298–2311. 20 indexed citations
13.
Freifeld, Oren, Søren Hauberg, Kayhan Batmanghelich, & John W. Fisher. (2015). Highly-Expressive Spaces of Well-Behaved Transformations: Keeping it Simple. 2911–2919. 10 indexed citations
14.
Hauberg, Søren, Aasa Feragen, & Michael J. Black. (2014). Grassmann Averages for Scalable Robust PCA. Research at the University of Copenhagen (University of Copenhagen). 3810–3817. 32 indexed citations
15.
Feragen, Aasa, et al.. (2014). Probabilistic Shortest Path Tractography in DTI Using Gaussian Process ODE Solvers. Lecture notes in computer science. 17(Pt 3). 265–272. 13 indexed citations
16.
Hauberg, Søren, Oren Freifeld, & Michael J. Black. (2012). A Geometric take on Metric Learning. Neural Information Processing Systems. 25. 2024–2032. 18 indexed citations
17.
Hauberg, Søren & Kim Steenstrup Pedersen. (2011). Predicting Articulated Human Motion from Spatial Processes. International Journal of Computer Vision. 94(3). 317–334. 10 indexed citations
18.
Hauberg, Søren, et al.. (2009). Interactive Inverse Kinematics for Human Motion Estimation. Research at the University of Copenhagen (University of Copenhagen). 1 indexed citations
19.
Eaton, John W., David Bateman, & Søren Hauberg. (2008). GNU Octave manual version 3: a high-level interactive language for numerical computations. October. 84 indexed citations
20.
Eaton, John W., David Bateman, & Søren Hauberg. (2008). GNU Octave Manual Version 3. 82 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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