Steve Marschner

5.5k citations
102 papers · 4.0k indexed · 2 hit papers · h-index 35

Impact in

Papers in

Steve Marschner

98 papers receiving 3.8k citations

Hit Papers

Matching Real Fabrics with Micro-Appearance Models 2015 · 375 citations
3752015202620182022100200300

Peers

Steve Marschner
Comparison fields: 5 of 144
  • Computer Graphics and Computer-Aided Design 2.1k
  • Computational Mechanics 1.9k
  • Computer Vision and Pattern Recognition 1.8k
  • Human-Computer Interaction 315
  • Acoustics and Ultrasonics 39
Replace Bernd Bickel with:
Bernd Bickel Austria
Marie‐Paule Cani France
Miguel Á. Otaduy Spain
Reinhard Klein Germany
Daniele Panozzo United States
Shuang Zhao China
Julie Dorsey United States
Doug L. James United States
François X. Sillion France
Li‐Yi Wei United States
Steve Marschner relative to Bernd Bickel Austria Bernd Bickel's profile →
Citations per field
00.5×3.5×
Bernd Bickel · 1×
Citations per year

Countries citing papers authored by Steve Marschner

Since Specialization
Citations

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

Fields of papers citing papers by Steve Marschner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Steve Marschner, 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 Steve Marschner Line = papers co-authored together Steve Marschner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20240
4 20236
5 20231
6 201910
7 201857
8 201852
9 201812
10 20172
11 201650
12 20133
13 20131
14 201317
15 2012118
16 20097
17 200877
18 2003330
19 2002106
20
Efficient Minimization of New Quadric Metric for Simplifying Meshes with Appearance Attributes
20005

About Steve Marschner

Steve Marschner is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Computer Vision and Pattern Recognition, Human-Computer Interaction and Architecture, having authored 102 papers that have together received 4.0k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (76 papers), 3D Shape Modeling and Analysis (50 papers), Advanced Vision and Imaging (22 papers), Textile materials and evaluations (11 papers), Image Enhancement Techniques (9 papers), Computational Geometry and Mesh Generation (8 papers), Color Science and Applications (8 papers) and Advanced Numerical Analysis Techniques (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (2.1k citations), Computational Mechanics (1.9k citations), Computer Vision and Pattern Recognition (1.8k citations), Human-Computer Interaction (315 citations) and Acoustics and Ultrasonics (39 citations). Steve Marschner has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Wenzel Jakob, Doug L. James, Kavita Bala, Jonathan M. Kaldor, Shuang Zhao, Markus Groß, Pramook Khungurn, Peter Shirley, Michael Ashikhmin and Bernd Bickel. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, Journal of Visualized Experiments, Chemical Engineering and Processing - Process Intensification and Leonardo.

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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