Ulrich Engelke
- Computer Vision and Pattern Recognition top 1%
- Cognitive Neuroscience top 10%
- Human-Computer Interaction top 2%
- Media Technology top 2%
- Signal Processing top 10%
- Co-authors
- Hans‐Jürgen ZepernickKit Yan ChanAnthony MaederPatrick Ndjiki-NyaPatrick Le CalletSebastian ArndtKjell BrunnströmJan‐Niklas Voigt-Antons
- Topics
- Image and Video Quality Assessment (34 papers)Visual Attention and Saliency Detection (22 papers)Data Visualization and Analytics (22 papers)
- Partner nations
- AustraliaSwedenUnited Kingdom
In The Last Decade
Ulrich Engelke
85 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 801
- Cognitive Neuroscience 234
- Human-Computer Interaction 209
- Media Technology 162
- Signal Processing 95
Countries citing papers authored by Ulrich Engelke
This map shows the geographic impact of Ulrich Engelke'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 Ulrich Engelke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrich Engelke more than expected).
Fields of papers citing papers by Ulrich Engelke
This network shows the impact of papers produced by Ulrich Engelke. 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 Ulrich Engelke. The network helps show where Ulrich Engelke may publish in the future.
Co-authorship network of co-authors of Ulrich Engelke
This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Engelke. A scholar is included among the top collaborators of Ulrich Engelke 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 Ulrich Engelke. Ulrich Engelke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 43 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 7 | |
| 9 | 14 | |
| 10 | 4 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 29 | |
| 14 | Quality of Experience of Multimedia Services : Past, Present, and Future | 3 |
| 15 | 18 | |
| 16 | Subjective Quality Assessment for Wireless Image Communication : The Wireless Imaging Quality Database | 11 |
| 17 | 5 | |
| 18 | Multi-resolution Structural Degradation Metrics for Perceptual Image Quality Assessment | 2 |
| 19 | 65 | |
| 20 | Perceptual Quality Assessment of Wireless Video Applications | 7 |
About Ulrich Engelke
Ulrich Engelke is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (34 papers), Visual Attention and Saliency Detection (22 papers) and Data Visualization and Analytics (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (801 citations), Human-Computer Interaction (209 citations) and Media Technology (162 citations). Ulrich Engelke has collaborated with scholars based in Australia, Sweden and United Kingdom. Frequent co-authors include Hans‐Jürgen Zepernick, Kit Yan Chan, Anthony Maeder, Patrick Ndjiki-Nya, Patrick Le Callet, Sebastian Arndt, Kjell Brunnström, Jan‐Niklas Voigt-Antons, Naeem Ramzan and Maria G. Martini. Their work appears in journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Access.
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.