Søren Hauberg
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Molecular Biology
- Computational Mechanics top 10%
- Co-authors
- David BatemanFrançois LauzeAasa FeragenNicki Skafte DetlefsenJohn W. EatonKim Steenstrup PedersenWouter BoomsmaMichael J. Black
- Topics
- Morphological variations and asymmetry (6 papers)Human Pose and Action Recognition (6 papers)Human Motion and Animation (5 papers)
- Journals
- Nature CommunicationsIEEE Transactions on Pattern Analysis and Machine IntelligenceNeuroImage
- Partner nations
- DenmarkGermanyUnited States
In The Last Decade
Søren Hauberg
34 papers receiving 774 citations
Peers
Comparison fields: 5 of 139
- Computer Vision and Pattern Recognition 279
- Aerospace Engineering 157
- Artificial Intelligence 152
- Molecular Biology 105
- Computational Mechanics 91
Countries citing papers authored by Søren Hauberg
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | Improving Adversarial Energy-Based Model via Diffusion Process | 0 |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 85 | |
| 8 | 25 | |
| 9 | Reliable training and estimation of variance networks | 5 |
| 10 | 13 | |
| 11 | 11 | |
| 12 | 20 | |
| 13 | 10 | |
| 14 | 32 | |
| 15 | 13 | |
| 16 | A Geometric take on Metric Learning | 18 |
| 17 | 10 | |
| 18 | 1 | |
| 19 | GNU Octave manual version 3: a high-level interactive language for numerical computations | 84 |
| 20 | GNU Octave Manual Version 3 | 82 |
About Søren Hauberg
Søren Hauberg is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology and Artificial Intelligence, having authored 37 papers that have together received 804 indexed citations. Recurring topics across this work include Morphological variations and asymmetry (6 papers), Human Pose and Action Recognition (6 papers) and Human Motion and Animation (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (279 citations), Computational Mathematics (5 citations) and Aerospace Engineering (157 citations). Søren Hauberg has collaborated with scholars based in Denmark, Germany and United States. Frequent co-authors include David Bateman, François Lauze, Aasa Feragen, Nicki Skafte Detlefsen, John W. Eaton, Kim Steenstrup Pedersen, Wouter Boomsma, John W. Eaton, Michael J. Black and Oren Freifeld. Their work appears in journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.
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.