Helwig Hauser

8.1k citations
171 papers · 5.5k · h-index 41

Impact in

Papers in

Helwig Hauser

168 papers receiving 5.2k citations

Peers

Helwig Hauser
Comparison fields: 5 of 167
  • Computer Graphics and Computer-Aided Design 1.9k
  • Computer Vision and Pattern Recognition 4.1k
  • Signal Processing 976
  • Computational Mechanics 815
  • Biophysics 220
Replace Jarke J. van Wijk with:
Jarke J. van Wijk Netherlands
Kwan‐Liu Ma United States
Han‐Wei Shen United States
Daniel Weiskopf Germany
Alexandru Telea Netherlands
Claudio Silva United States
Robert S. Laramee United Kingdom
Alex Pang United States
Gerik Scheuermann Germany
Chris R. Johnson United States
Helwig Hauser relative to Jarke J. van Wijk Netherlands Jarke J. van Wijk's profile →
Citations per field
00.5×1.7×
Jarke J. van Wijk · 1×
Citations per year

Countries citing papers authored by Helwig Hauser

Since Specialization
Citations

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

Fields of papers citing papers by Helwig Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003322
2 2012258
3 2004250
4 2012192
5 2006177
6 2003165
7 2003164
8 2006145
9 2004104
10 2009102
11 2011102
12 2011100
13 200192
14 200981
15 201480
16 200477
17 200175
18 201169
19 200369
20 200569

About Helwig Hauser

Helwig Hauser is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Signal Processing, Artificial Intelligence and Computational Mechanics, having authored 171 papers that have together received 5.5k indexed citations. Recurring topics across this work include Data Visualization and Analytics (106 papers), Computer Graphics and Visualization Techniques (84 papers), Data Management and Algorithms (24 papers), Advanced Vision and Imaging (24 papers), 3D Shape Modeling and Analysis (20 papers), Video Analysis and Summarization (17 papers), Data Analysis with R (16 papers) and Time Series Analysis and Forecasting (13 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.9k citations), Computer Vision and Pattern Recognition (4.1k citations), Signal Processing (976 citations), Computational Mechanics (815 citations) and Biophysics (220 citations). Helwig Hauser has collaborated with scholars based in Norway, Austria and United States. Frequent co-authors include Helmut Doleisch, Robert S. Laramee, Robert Kosara, Johannes Kehrer, Frits H. Post, Benjamin Vrolijk, Silvia Miksch, Krešimir Matković, Lukas Mroz and Eduard Gröller. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Computers & Graphics, IEEE Computer Graphics and Applications and BMC Bioinformatics.

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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