Ulrich Kreßel
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Automotive Engineering top 10%
- Signal Processing top 10%
- Co-authors
- Frank LindnerWalter RitterBernd HeiseleKlaus DietmayerVasileios BelagiannisChristian WöhlerMarkus BraunThomas A. Bayer
- Topics
- Autonomous Vehicle Technology and Safety (7 papers)Video Surveillance and Tracking Methods (6 papers)Human Pose and Action Recognition (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputer Vision and Image UnderstandingLecture notes in computer science
- Partner nations
- GermanyUnited KingdomChina
In The Last Decade
Ulrich Kreßel
21 papers receiving 898 citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 535
- Artificial Intelligence 392
- Control and Systems Engineering 168
- Automotive Engineering 95
- Signal Processing 85
Countries citing papers authored by Ulrich Kreßel
This map shows the geographic impact of Ulrich Kreßel'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 Kreßel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrich Kreßel more than expected).
Fields of papers citing papers by Ulrich Kreßel
This network shows the impact of papers produced by Ulrich Kreßel. 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 Kreßel. The network helps show where Ulrich Kreßel may publish in the future.
Co-authorship network of co-authors of Ulrich Kreßel
This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Kreßel. A scholar is included among the top collaborators of Ulrich Kreßel 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 Kreßel. Ulrich Kreßel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 41 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 80 | |
| 13 | 6 | |
| 14 | 16 | |
| 15 | 13 | |
| 16 | 62 | |
| 17 | Dimensionality reduction by local processing. | 1 |
| 18 | Pairwise Classification and Support Vector Machinesbreakdown → | 657 |
| 19 | 6 | |
| 20 | 0 |
About Ulrich Kreßel
Ulrich Kreßel is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Safety, Risk, Reliability and Quality, having authored 22 papers that have together received 962 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (7 papers), Video Surveillance and Tracking Methods (6 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (535 citations), Artificial Intelligence (392 citations) and Media Technology (72 citations). Ulrich Kreßel has collaborated with scholars based in Germany, United Kingdom and China. Frequent co-authors include Frank Lindner, Walter Ritter, Bernd Heisele, Klaus Dietmayer, Vasileios Belagiannis, Christian Wöhler, Markus Braun, Thomas A. Bayer, Bin Yang and Felix Kunz. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer Vision and Image Understanding and Lecture notes in computer science.
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.