Bernt Schiele
About
In The Last Decade
Bernt Schiele
335 papers receiving 37.5k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Computer Vision and Pattern Recognition 31.8k
- Artificial Intelligence 12.2k
- Aerospace Engineering 3.6k
- Automotive Engineering 2.6k
- Biomedical Engineering 2.5k
Countries citing papers authored by Bernt Schiele
This map shows the geographic impact of Bernt Schiele'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 Bernt Schiele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernt Schiele more than expected).
Fields of papers citing papers by Bernt Schiele
This network shows the impact of papers produced by Bernt Schiele. 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 Bernt Schiele. The network helps show where Bernt Schiele may publish in the future.
Co-authorship network of co-authors of Bernt Schiele
This figure shows the co-authorship network connecting the top 25 collaborators of Bernt Schiele. A scholar is included among the top collaborators of Bernt Schiele 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 Bernt Schiele. Bernt Schiele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 51 | |
| 3 | 38 | |
| 4 | 24 | |
| 5 | 92 | |
| 6 | Learning to Self-Train for Semi-Supervised Few-Shot Classification | 111 |
| 7 | Confidence-Calibrated Adversarial Training and Detection: More Robust Models Generalizing Beyond the Attack Used During Training | 2 |
| 8 | Understanding and Controlling User Linkability in Decentralized Learning. | 7 |
| 9 | Multiple People Tracking by Lifted Multicut and Person Re-identification breakdown → | 358 |
| 10 | Pose Guided Person Image Generation | 313 |
| 11 | Lucid Data Dreaming for Object Tracking | 38 |
| 12 | Lucid Data Dreaming for Multiple Object Tracking | 15 |
| 13 | 93 | |
| 14 | 2D Human Pose Estimation: New Benchmark and State of the Art Analysis breakdown → | 1536 |
| 15 | 98 | |
| 16 | Standing on the Shoulders of Other Researchers - A Position Statement | 2 |
| 17 | Dead Reckoning from the Pocket | 1 |
| 18 | Sensing Location in Your Pocket | 7 |
| 19 | 19 | |
| 20 | 2 |
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.