Christoph Rasche
- Cognitive Neuroscience top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Co-authors
- Karl R. GegenfurtnerRodney J. DouglasRichard H. R. HahnloserBochao SuPhilipp HäfligerChristof KochNeil MennieAlexander C. Schütz
- Topics
- Neural dynamics and brain function (13 papers)Advanced Memory and Neural Computing (9 papers)Visual perception and processing mechanisms (7 papers)
- Partner nations
- RomaniaGermanyUnited States
In The Last Decade
Christoph Rasche
33 papers receiving 372 citations
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 219
- Electrical and Electronic Engineering 125
- Computer Vision and Pattern Recognition 124
- Cellular and Molecular Neuroscience 79
- Artificial Intelligence 49
Countries citing papers authored by Christoph Rasche
This map shows the geographic impact of Christoph Rasche'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 Rasche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christoph Rasche more than expected).
Fields of papers citing papers by Christoph Rasche
This network shows the impact of papers produced by Christoph Rasche. 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 Rasche. The network helps show where Christoph Rasche may publish in the future.
Co-authorship network of co-authors of Christoph Rasche
This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Rasche. A scholar is included among the top collaborators of Christoph Rasche 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 Rasche. Christoph Rasche is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 21 | |
| 3 | 9 | |
| 4 | Has an Image Classification Approach any Chance at all (in Plant Classification) | 0 |
| 5 | 2 | |
| 6 | A Novel Structural-Description Approach for Image Retrieval. | 4 |
| 7 | 3 | |
| 8 | 48 | |
| 9 | 7 | |
| 10 | 18 | |
| 11 | 35 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 39 | |
| 19 | 18 | |
| 20 | 6 |
About Christoph Rasche
Christoph Rasche is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 388 indexed citations. Recurring topics across this work include Neural dynamics and brain function (13 papers), Advanced Memory and Neural Computing (9 papers) and Visual perception and processing mechanisms (7 papers). The work is most often cited by research in Cognitive Neuroscience (219 citations), Human-Computer Interaction (43 citations) and Computer Vision and Pattern Recognition (124 citations). Christoph Rasche has collaborated with scholars based in Romania, Germany and United States. Frequent co-authors include Karl R. Gegenfurtner, Rodney J. Douglas, Richard H. R. Hahnloser, Bochao Su, Philipp Häfliger, Christof Koch, Neil Mennie, Alexander C. Schütz, Doris I. Braun and Bernd Kleinjohann. Their work appears in journals such as Journal of Neurophysiology, Vision Research and International Journal of Computer Vision.
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.