Markus Steinberger

2.3k total citations · 1 hit paper
86 papers, 1.4k citations indexed

About

Markus Steinberger is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computer Networks and Communications. According to data from OpenAlex, Markus Steinberger has authored 86 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 44 papers in Computer Graphics and Computer-Aided Design and 23 papers in Computer Networks and Communications. Recurrent topics in Markus Steinberger's work include Computer Graphics and Visualization Techniques (44 papers), Advanced Vision and Imaging (29 papers) and 3D Shape Modeling and Analysis (19 papers). Markus Steinberger is often cited by papers focused on Computer Graphics and Visualization Techniques (44 papers), Advanced Vision and Imaging (29 papers) and 3D Shape Modeling and Analysis (19 papers). Markus Steinberger collaborates with scholars based in Austria, Germany and United States. Markus Steinberger's co-authors include Dieter Schmalstieg, Hans‐Peter Seidel, Mathias Parger, Bernhard Kainz, Rhaleb Zayer, Joerg H. Mueller, Bernhard Kerbl, Thomas Neff, Anton Kaplanyan and Andreas Kurz and has published in prestigious journals such as IEEE Transactions on Medical Imaging, ACM Transactions on Graphics and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Markus Steinberger

80 papers receiving 1.4k citations

Hit Papers

DONeRF: Towards Real‐Time Rendering of Compact Neural Rad... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. DONeRF: Towards Real‐Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks
    2021 160 citations Thomas Neff, Mathias Parger et al. Computer Graphics Forum profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Steinberger Austria 21 844 420 245 236 211 86 1.4k
P. J. Narayanan India 21 1.7k 2.0× 480 1.1× 244 1.0× 250 1.1× 253 1.2× 130 2.2k
Peter Schelkens Belgium 26 2.4k 2.8× 242 0.6× 155 0.6× 210 0.9× 29 0.1× 323 3.1k
Qiming Hou China 12 670 0.8× 419 1.0× 317 1.3× 121 0.5× 110 0.5× 24 1.0k
Michael McCool Canada 23 731 0.9× 834 2.0× 478 2.0× 338 1.4× 371 1.8× 51 1.6k
Tzu‐Mao Li United States 12 749 0.9× 553 1.3× 383 1.6× 59 0.3× 129 0.6× 35 1.2k
Tony Tung Japan 17 746 0.9× 212 0.5× 593 2.4× 537 2.3× 256 1.2× 44 1.5k
Tomas Akenine‐Möller Sweden 28 1.7k 2.0× 1.7k 3.9× 699 2.9× 104 0.4× 148 0.7× 97 2.3k
Pedro V. Sander United States 28 1.6k 1.9× 1.3k 3.2× 961 3.9× 508 2.2× 185 0.9× 79 2.8k
Luiz Henrique de Figueiredo Brazil 19 287 0.3× 492 1.2× 491 2.0× 153 0.6× 183 0.9× 76 1.5k
Bruce Walter United States 30 1.8k 2.1× 1.7k 4.1× 747 3.0× 462 2.0× 436 2.1× 75 2.8k

Countries citing papers authored by Markus Steinberger

Since Specialization
Citations

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

Fields of papers citing papers by Markus Steinberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Steinberger

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Steinberger. A scholar is included among the top collaborators of Markus Steinberger 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 Markus Steinberger. Markus Steinberger 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.
Mori, Shohei, et al.. (2025). NeuralPVS: Learned Estimation of Potentially Visible Sets. 1–11.
2.
3.
Parger, Mathias, et al.. (2024). StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Rendering. ACM Transactions on Graphics. 43(4). 1–17. 33 indexed citations
4.
Steinberger, Markus, et al.. (2024). End‐to‐End Compressed Meshlet Rendering. Computer Graphics Forum. 43(1). 1 indexed citations
5.
Steiner, Michael, et al.. (2024). Analyzing the Internals of Neural Radiance Fields. 2822–2831. 2 indexed citations
6.
Membarth, Richard, et al.. (2023). AnyQ: An Evaluation Framework for Massively-Parallel Queue Algorithms. 2. 736–745.
7.
Seidel, Hans‐Peter, et al.. (2023). A Variational Loop Shrinking Analogy for Handle and Tunnel Detection and Reeb Graph Construction on Surfaces. Computer Graphics Forum. 42(2). 309–320. 2 indexed citations
8.
Kerbl, Bernhard, et al.. (2023). Trim Regions for Online Computation of From-Region Potentially Visible Sets. ACM Transactions on Graphics. 42(4). 1–15. 5 indexed citations
9.
Steinberger, Markus, et al.. (2019). Breadth-First Search on Dynamic Graphs using Dynamic Parallelism on the GPU. 4 indexed citations
10.
Kerbl, Bernhard, et al.. (2018). Revisiting The Vertex Cache. Proceedings of the ACM on Computer Graphics and Interactive Techniques. 1(2). 1–16. 6 indexed citations
11.
Kerbl, Bernhard, et al.. (2018). A high-performance software graphics pipeline architecture for the GPU. ACM Transactions on Graphics. 37(4). 1–15. 20 indexed citations
12.
Tsai, Yun‐Ta, Markus Steinberger, Dawid Paja̧k, & Kari Pulli. (2015). Fast ANN for High‐Quality Collaborative Filtering. Computer Graphics Forum. 35(1). 138–151. 6 indexed citations
13.
Heide, Felix, Markus Steinberger, Yun‐Ta Tsai, et al.. (2014). FlexISP. ACM Transactions on Graphics. 33(6). 1–13. 177 indexed citations
14.
Kainz, Bernhard, Stefan Hauswiesner, Gerhard Reitmayr, et al.. (2012). OmniKinect. 25–32. 43 indexed citations
15.
Steinberger, Markus, Manuela Waldner, & Dieter Schmalstieg. (2012). Interactive Self‐Organizing Windows. Computer Graphics Forum. 31(2pt3). 621–630. 2 indexed citations
16.
Steinberger, Markus, et al.. (2012). Softshell. ACM Transactions on Graphics. 31(6). 1–11. 39 indexed citations
17.
Kainz, Bernhard, et al.. (2011). Stylization-based ray prioritization for guaranteed frame rates. 43–54. 2 indexed citations
18.
Bar-Ness, Y., et al.. (1982). Bootstrapping adaptive interference cancelers - Some practical limitations. Global Communications Conference. 3. 1251–1255. 13 indexed citations
19.
Bar-Ness, Y., et al.. (1982). Bootstrapping adaptive cross pol cancelers for satellite communications. International Conference on Communications. 2. 9 indexed citations
20.
Steinberger, Markus, П. М. Балабан, & K. Shanmugam. (1981). On the effect of uplink noise on a nonlinear digital satellite channel. International Conference on Communications. 1. 3 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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