Torsten Ullrich

444 citations
59 papers · 282 · h-index 9

Impact in

Papers in

Torsten Ullrich

58 papers receiving 271 citations

Peers

Torsten Ullrich
Comparison fields: 5 of 84
  • Computer Graphics and Computer-Aided Design 62
  • Architecture 25
  • Geology 78
  • Building and Construction 66
  • Computer Vision and Pattern Recognition 86
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Sven Havemann Germany
Jérôme Royan France
Oliver Grau Germany
Chunpeng Li China
Nikolaos Zioulis Greece
John Airey United States
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Hyung Il Koo South Korea
Branislav Ulicny Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Torsten Ullrich

Since Specialization
Citations

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

Fields of papers citing papers by Torsten Ullrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201633
2 201527
3 200620
4 200815
5 202115
6 201412
7 202111
8 20109
9 20248
10 20158
11 20228
12 20078
13 20226
14 20156
15
Procedural Modeling in Theory and Practice
20104
16
Semantic Enrichment for 3D Documents Techniques and Open Problems
20104
17 20134
18 20174
19 20074
20 20164

About Torsten Ullrich

Torsten Ullrich is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Geology, Building and Construction and Computational Mechanics, having authored 59 papers that have together received 282 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (15 papers), 3D Surveying and Cultural Heritage (12 papers), Image Processing and 3D Reconstruction (9 papers), 3D Shape Modeling and Analysis (6 papers), 3D Modeling in Geospatial Applications (6 papers), Computational Geometry and Mesh Generation (5 papers), Data Visualization and Analytics (4 papers) and Data Management and Algorithms (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (62 citations), Architecture (25 citations), Geology (78 citations), Building and Construction (66 citations) and Computer Vision and Pattern Recognition (86 citations). Torsten Ullrich has collaborated with scholars based in Austria, Germany and China. Frequent co-authors include Dieter W. Fellner, Volker Settgast, Eva Eggeling, Andreas Holzinger, Tobias Schreck, Daniel A. Keim, Michael Sedlmair, Ljiljana Trtica Majnarić, Michael Hund and Istvan-Szilard Szilagyi. Their work appears in journals such as Journal of Medical Internet Research, Energy and Buildings, Brain Informatics, Psychological Medicine and Buildings.

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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