Urs Bergmann

473 total citations
5 papers, 100 citations indexed

About

Urs Bergmann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Urs Bergmann has authored 5 papers receiving a total of 100 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Urs Bergmann's work include Neural Networks and Applications (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Gaussian Processes and Bayesian Inference (1 paper). Urs Bergmann is often cited by papers focused on Neural Networks and Applications (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Gaussian Processes and Bayesian Inference (1 paper). Urs Bergmann collaborates with scholars based in Germany, United States and Canada. Urs Bergmann's co-authors include Roland Vollgraf, Nikolay Jetchev, Daniel Duckworth, Klaus Greff, Andrea Tagliasacchi, Thomas Funkhouser, Etienne Pot, Noha Radwan, Jakob Uszkoreit and Henning Meyer and has published in prestigious journals such as Neural Computation, Biological Cybernetics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Urs Bergmann

5 papers receiving 95 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Urs Bergmann Germany	3	84	45	35	10	8	5	100
Tomáš Jakab United Kingdom	6	95 1.1×	31 0.7×	48 1.4×	11 1.1×	16 2.0×	9	122
Meng-Li Shih United States	2	160 1.9×	85 1.9×	28 0.8×	2 0.2×	8 1.0×	4	177
Dario Pavllo Switzerland	6	67 0.8×	23 0.5×	24 0.7×	16 1.6×	3 0.4×	10	91
Geoffrey Oxholm United States	5	197 2.3×	82 1.8×	27 0.8×	8 0.8×	7 0.9×	8	213
Roman Bachmann Switzerland	2	70 0.8×	30 0.7×	23 0.7×	17 1.7×	1 0.1×	3	98
Zhewei Huang China	2	65 0.8×	49 1.1×	20 0.6×	14 1.4×		2	87
Animesh Karnewar Pakistan	5	64 0.8×	52 1.2×	34 1.0×	8 0.8×	1 0.1×	7	84
Omer Bar-Tal Israel	3	90 1.1×	23 0.5×	12 0.3×	14 1.4×	3 0.4×	6	119
Michael Oechsle Germany	3	104 1.2×	63 1.4×	94 2.7×	2 0.2×	12 1.5×	4	143
Lior Yariv Israel	4	71 0.8×	70 1.6×	56 1.6×	4 0.4×	9 1.1×	5	108

Countries citing papers authored by Urs Bergmann

Since Specialization

Citations

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

Fields of papers citing papers by Urs Bergmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Urs Bergmann

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Sajjadi, Mehdi S. M., Henning Meyer, Etienne Pot, et al.. (2022). Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 6219–6228. 66 indexed citations

2.

Rasul, Kashif, et al.. (2021). Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows. arXiv (Cornell University). 2 indexed citations

3.

Jetchev, Nikolay, et al.. (2019). Generating High-Resolution Fashion Model Images Wearing Custom Outfits. 3161–3164. 25 indexed citations

4.

Bergmann, Urs & Christoph von der Malsburg. (2011). Self-Organization of Topographic Bilinear Networks for Invariant Recognition. Neural Computation. 23(11). 2770–2797. 6 indexed citations

5.

Bergmann, Urs, Reimer Kühn, & Ion-Olimpiu Stamatescu. (2009). Learning with incomplete information in the committee machine. Biological Cybernetics. 101(5-6). 401–410. 1 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.

Explore authors with similar magnitude of impact