Markus Groß

27.2k citations
479 papers · 19.0k indexed · 4 hit papers · h-index 72

Markus Groß

455 papers receiving 17.8k citations

Hit Papers

Microstructures to control elasticit...3212000202620082017100200300400500

Peers

Markus Groß
Comparison fields: 5 of 184
  • Computer Graphics and Computer-Aided Design 7.8k
  • Computer Vision and Pattern Recognition 10.0k
  • Computational Mechanics 8.5k
  • Human-Computer Interaction 1.4k
  • Geology 1.1k
Replace Hans‐Peter Seidel with:
Hans‐Peter Seidel Germany
Christian Theobalt Germany
Pat Hanrahan United States
Demetri Terzopoulos United States
Wojciech Matusik United States
Baining Guo China
Thomas Funkhouser United States
Michael J. Black Germany
Hugues Hoppe United States
Jan Kautz United Kingdom
Markus Groß relative to Hans‐Peter Seidel Germany Hans‐Peter Seidel's profile →
Citations per field
00.5×1.5×1.8×
Hans‐Peter Seidel · 1×
Citations per year

Countries citing papers authored by Markus Groß

Since Specialization
Citations

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

Fields of papers citing papers by Markus Groß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Markus Groß, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Markus Groß Line = papers co-authored together Markus Groß links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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Efficient Feature Embeddings for Student Classification with Variational Auto-Encoders.
20177
17
Statistical Analysis of Player Behavior in Minecraft
201511
18
Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
200811
19
Interaction of fluids with deformable solids: Research Articles
200453
20
Proceedings of IEEE Visualization '99
1999415

About Markus Groß

Markus Groß is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 479 papers that have together received 19.0k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (213 papers), Advanced Vision and Imaging (151 papers), 3D Shape Modeling and Analysis (145 papers), Human Motion and Animation (58 papers), Advanced Numerical Analysis Techniques (47 papers), Advanced Optical Imaging Technologies (45 papers), Computational Geometry and Mesh Generation (38 papers) and Face recognition and analysis (32 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (7.8k citations), Computer Vision and Pattern Recognition (10.0k citations) and Computational Mechanics (8.5k citations). Markus Groß has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Mark V. Pauly, Hanspeter Pfister, Bernd Bickel, Matthias Zwicker, Richard Keiser, Gaël Guennebaud, Matthias Teschner, Bruno Heidelberger, Jeroen van Baar and Bernhard Thomaszewski. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics and The Visual Computer.

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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