Christoph G. Keller
- Computer Vision and Pattern Recognition top 2%
- Automotive Engineering top 2%
- Aerospace Engineering top 5%
- Safety, Risk, Reliability and Quality top 2%
- Electrical and Electronic Engineering
- Co-authors
- Dariu M. GavrilaMartin HaueisMarkus EnzweilerA. JoosClemens RabeThao DangHans FritzCristóbal Curio
- Topics
- Robotics and Sensor-Based Localization (6 papers)Video Surveillance and Tracking Methods (5 papers)Autonomous Vehicle Technology and Safety (4 papers)
- Cited by
- Automotive EngineeringComputer Vision and Pattern RecognitionSafety, Risk, Reliability and Quality
- Journals
- IEEE Transactions on Intelligent Transportation SystemsUvA-DARE (University of Amsterdam)Reutlingen University Academic Bibliography (Reutlingen University)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Christoph G. Keller
12 papers receiving 813 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 480
- Automotive Engineering 406
- Aerospace Engineering 227
- Safety, Risk, Reliability and Quality 170
- Electrical and Electronic Engineering 124
Countries citing papers authored by Christoph G. Keller
This map shows the geographic impact of Christoph G. Keller'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 G. Keller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christoph G. Keller more than expected).
Fields of papers citing papers by Christoph G. Keller
This network shows the impact of papers produced by Christoph G. Keller. 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 G. Keller. The network helps show where Christoph G. Keller may publish in the future.
Co-authorship network of co-authors of Christoph G. Keller
This figure shows the co-authorship network connecting the top 25 collaborators of Christoph G. Keller. A scholar is included among the top collaborators of Christoph G. Keller 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 G. Keller. Christoph G. Keller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 18 | |
| 3 | 20 | |
| 4 | 40 | |
| 5 | 75 | |
| 6 | 11 | |
| 7 | 246 | |
| 8 | 82 | |
| 9 | 65 | |
| 10 | 69 | |
| 11 | 160 | |
| 12 | 74 |
About Christoph G. Keller
Christoph G. Keller is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Software, having authored 12 papers that have together received 863 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Video Surveillance and Tracking Methods (5 papers) and Autonomous Vehicle Technology and Safety (4 papers). The work is most often cited by research in Automotive Engineering (406 citations), Computer Vision and Pattern Recognition (480 citations) and Safety, Risk, Reliability and Quality (170 citations). Christoph G. Keller has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Dariu M. Gavrila, Martin Haueis, Markus Enzweiler, A. Joos, Clemens Rabe, Thao Dang, Hans Fritz, Cristóbal Curio, Christoph Stiller and Markus Rapp. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, UvA-DARE (University of Amsterdam) and Reutlingen University Academic Bibliography (Reutlingen University).
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.