Bastian Wandt
- Artificial Intelligence top 5%
- Industrial and Manufacturing Engineering top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering
- Co-authors
- Bodo RosenhahnMarco RudolphTom WehrbeinD. HeinrichWerner NachbauerHelge RhodinJörg Spörri
- Topics
- Industrial Vision Systems and Defect Detection (2 papers)Anomaly Detection Techniques and Applications (2 papers)Winter Sports Injuries and Performance (1 paper)
- Cited by
- Industrial and Manufacturing EngineeringArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- Scientific ReportsIEEE Transactions on Robotics2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
In The Last Decade
Bastian Wandt
4 papers receiving 302 citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 249
- Industrial and Manufacturing Engineering 93
- Computer Networks and Communications 85
- Computer Vision and Pattern Recognition 79
- Control and Systems Engineering 48
Countries citing papers authored by Bastian Wandt
This map shows the geographic impact of Bastian Wandt'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 Bastian Wandt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bastian Wandt more than expected).
Fields of papers citing papers by Bastian Wandt
This network shows the impact of papers produced by Bastian Wandt. 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 Bastian Wandt. The network helps show where Bastian Wandt may publish in the future.
Co-authorship network of co-authors of Bastian Wandt
This figure shows the co-authorship network connecting the top 25 collaborators of Bastian Wandt. A scholar is included among the top collaborators of Bastian Wandt 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 Bastian Wandt. Bastian Wandt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | Asymmetric Student-Teacher Networks for Industrial Anomaly Detectionbreakdown → | 103 |
| 4 | Fully Convolutional Cross-Scale-Flows for Image-based Defect Detectionbreakdown → | 192 |
About Bastian Wandt
Bastian Wandt is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Signal Processing, having authored 4 papers that have together received 303 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Winter Sports Injuries and Performance (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (93 citations), Artificial Intelligence (249 citations) and Computer Vision and Pattern Recognition (79 citations). Bastian Wandt has collaborated with scholars based in Sweden, Germany and Canada. Frequent co-authors include Bodo Rosenhahn, Marco Rudolph, Tom Wehrbein, D. Heinrich, Werner Nachbauer, Helge Rhodin and Jörg Spörri. Their work appears in journals such as Scientific Reports, IEEE Transactions on Robotics and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
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.