Christoph Busch
About
In The Last Decade
Christoph Busch
542 papers receiving 8.3k citations
Peers
Comparison fields: 5 of 155
- Computer Vision and Pattern Recognition 6.2k
- Signal Processing 5.8k
- Information Systems 2.8k
- Artificial Intelligence 917
- Biomedical Engineering 654
Countries citing papers authored by Christoph Busch
This map shows the geographic impact of Christoph Busch'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 Christoph Busch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christoph Busch more than expected).
Fields of papers citing papers by Christoph Busch
This network shows the impact of papers produced by Christoph Busch. 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 Christoph Busch. The network helps show where Christoph Busch may publish in the future.
Co-authorship network of co-authors of Christoph Busch
This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Busch. A scholar is included among the top collaborators of Christoph Busch 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 Christoph Busch. Christoph Busch 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 6 | |
| 14 | 54 | |
| 15 | 4 | |
| 16 | 14 | |
| 17 | 7 | |
| 18 | 9 | |
| 19 | 141 | |
| 20 | On comparison score fusion of deep autoencoders and relaxed collaborative representation for smartphone based accurate periocular verification | 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.