Helge Seetzen
- Computer Vision and Pattern Recognition top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Media Technology top 1%
- Cognitive Neuroscience top 10%
- Computer Graphics and Computer-Aided Design top 2%
- Co-authors
- Greg WardLorne WhiteheadWolfgang HeidrichMatthew TrentacosteAlan ChalmersPatrick LeddaTom TrościankoAbhijeet Ghosh
- Topics
- Image Enhancement Techniques (11 papers)Advanced Optical Imaging Technologies (10 papers)Color Science and Applications (6 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionMedia Technology
- Journals
- ACM Transactions on GraphicsJournal of Visual Communication and Image RepresentationJournal of Experimental Psychology Applied
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Helge Seetzen
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 993
- Atomic and Molecular Physics, and Optics 498
- Media Technology 320
- Cognitive Neuroscience 175
- Computer Graphics and Computer-Aided Design 173
Countries citing papers authored by Helge Seetzen
This map shows the geographic impact of Helge Seetzen'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 Helge Seetzen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helge Seetzen more than expected).
Fields of papers citing papers by Helge Seetzen
This network shows the impact of papers produced by Helge Seetzen. 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 Helge Seetzen. The network helps show where Helge Seetzen may publish in the future.
Co-authorship network of co-authors of Helge Seetzen
This figure shows the co-authorship network connecting the top 25 collaborators of Helge Seetzen. A scholar is included among the top collaborators of Helge Seetzen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Helge Seetzen. Helge Seetzen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 8 | |
| 4 | 14 | |
| 5 | 114 | |
| 6 | 130 | |
| 7 | 8 | |
| 8 | 17 | |
| 9 | 32 | |
| 10 | 3 | |
| 11 | 14 | |
| 12 | 219 | |
| 13 | 12 | |
| 14 | 40 | |
| 15 | 399 | |
| 16 | 50 | |
| 17 | 13 | |
| 18 | 5 | |
| 19 | 27 | |
| 20 | 104 |
About Helge Seetzen
Helge Seetzen is a scholar working on Computer Graphics and Computer-Aided Design, Media Technology and Instrumentation, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Image Enhancement Techniques (11 papers), Advanced Optical Imaging Technologies (10 papers) and Color Science and Applications (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (173 citations), Computer Vision and Pattern Recognition (993 citations) and Media Technology (320 citations). Helge Seetzen has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Greg Ward, Lorne Whitehead, Wolfgang Heidrich, Matthew Trentacoste, Alan Chalmers, Patrick Ledda, Tom Trościanko, Abhijeet Ghosh, A. Vorozcovs and Wolfgang Stuerzlinger. Their work appears in journals such as ACM Transactions on Graphics, Journal of Visual Communication and Image Representation and Journal of Experimental Psychology Applied.
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.