Gerik Scheuermann

245 papers receiving 3.8k citations

Gerik Scheuermann's Hit Papers

On Close and Distant Reading in Digital Humanities: A Survey and Future Challenges 2015 · 154 citations
1540+3+7Years since publication50100150

Peers

Gerik Scheuermann
Comparison fields: 5 of 154
  • Computer Graphics and Computer-Aided Design 1.4k
  • Computational Mathematics 108
  • Computer Vision and Pattern Recognition 2.1k
  • Computational Theory and Mathematics 640
  • Computational Mechanics 751
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Alex Pang United States
Chris R. Johnson United States
Holger Theisel Germany
Robert S. Laramee United Kingdom
Rüdiger Westermann Germany
Marcelo Bertalmı́o Spain
Joachim Weickert Germany
Gabriel Peyré France
David Luebke United States
Jarke J. van Wijk Netherlands
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Countries citing papers authored by Gerik Scheuermann

Since Specialization
Citations

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

Fields of papers citing papers by Gerik Scheuermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 254 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009211
2
On Close and Distant Reading in Digital Humanities: A Survey and Future Challenges
Hit paper breakdown →
2015154
3 2001117
4 201697
5 199895
6 201694
7 200288
8 200180
9 200580
10 200571
11 200670
12 200264
13 200463
14 200859
15
The State of the Art in Flow Visualization: Partition-Based Techniques
200858
16 200857
17 200856
18 201151
19 201047
20 201246

About Gerik Scheuermann

Gerik Scheuermann is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Computational Mechanics and Computational Theory and Mathematics, having authored 254 papers that have together received 4.0k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (94 papers), Data Visualization and Analytics (72 papers), Advanced Neuroimaging Techniques and Applications (31 papers), Advanced Vision and Imaging (30 papers), Topological and Geometric Data Analysis (26 papers), Fluid Dynamics and Turbulent Flows (18 papers), Advanced Numerical Analysis Techniques (16 papers) and Computational Physics and Python Applications (16 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.4k citations), Computational Mathematics (108 citations), Computer Vision and Pattern Recognition (2.1k citations), Computational Theory and Mathematics (640 citations) and Computational Mechanics (751 citations). Gerik Scheuermann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Xavier Tricoche, Thomas Wischgoll, Stefan Jänicke, Hans Hagen, H. Jänicke, Alexander Wiebel, Hans Hagen, Christoph Garth, Christian Heine and Mario Hlawitschka. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, IEEE Computer Graphics and Applications, The Visual Computer and Mathematics and visualization.

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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