Ingo Schiller
- Computer Vision and Pattern Recognition top 5%
- Instrumentation top 5%
- Aerospace Engineering
- Environmental Engineering
- Electrical and Electronic Engineering
- Co-authors
- Reinhard KochAndreas KolbMarvin LindnerHubert RothChristian BederDidier StrickerHarald Wuest
- Topics
- Robotics and Sensor-Based Localization (5 papers)Augmented Reality Applications (3 papers)Advanced Vision and Imaging (3 papers)
- Journals
- Computer Vision and Image UnderstandingInternational Journal of Intelligent Systems Technologies and ApplicationsPublikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)
- Partner nations
- Germany
In The Last Decade
Ingo Schiller
8 papers receiving 240 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 154
- Instrumentation 124
- Aerospace Engineering 79
- Environmental Engineering 48
- Electrical and Electronic Engineering 39
Countries citing papers authored by Ingo Schiller
This map shows the geographic impact of Ingo Schiller'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 Ingo Schiller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingo Schiller more than expected).
Fields of papers citing papers by Ingo Schiller
This network shows the impact of papers produced by Ingo Schiller. 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 Ingo Schiller. The network helps show where Ingo Schiller may publish in the future.
Co-authorship network of co-authors of Ingo Schiller
This figure shows the co-authorship network connecting the top 25 collaborators of Ingo Schiller. A scholar is included among the top collaborators of Ingo Schiller 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 Ingo Schiller. Ingo Schiller 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 | 162 | |
| 3 | 10 | |
| 4 | 51 | |
| 5 | Integration of a Time-of-Flight Camera into a Mixed Reality System for Handling Dynamic Scenes, Moving Viewpoints and Occlusions in Real-Time | 17 |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 8 |
About Ingo Schiller
Ingo Schiller is a scholar working on Instrumentation, Human-Computer Interaction and Geology, having authored 9 papers that have together received 258 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Augmented Reality Applications (3 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Instrumentation (124 citations), Computer Vision and Pattern Recognition (154 citations) and Geology (37 citations). Ingo Schiller has collaborated with scholars based in Germany. Frequent co-authors include Reinhard Koch, Andreas Kolb, Marvin Lindner, Hubert Roth, Christian Beder, Didier Stricker and Harald Wuest. Their work appears in journals such as Computer Vision and Image Understanding, International Journal of Intelligent Systems Technologies and Applications and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.