G.M. Schuster
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 1%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Computational Mechanics top 10%
- Co-authors
- Aggelos K. KatsaggelosLisimachos P. KondiJörn ÖstermannLi ZhuMichael S. BorellaZhu LiHaohong WangEva Knop
- Topics
- Advanced Vision and Imaging (27 papers)Video Coding and Compression Technologies (25 papers)Advanced Data Compression Techniques (14 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Partner nations
- United StatesSwitzerlandNorway
In The Last Decade
G.M. Schuster
53 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 1.0k
- Signal Processing 615
- Electrical and Electronic Engineering 262
- Computer Networks and Communications 225
- Computational Mechanics 113
Countries citing papers authored by G.M. Schuster
This map shows the geographic impact of G.M. Schuster'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 G.M. Schuster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.M. Schuster more than expected).
Fields of papers citing papers by G.M. Schuster
This network shows the impact of papers produced by G.M. Schuster. 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 G.M. Schuster. The network helps show where G.M. Schuster may publish in the future.
Co-authorship network of co-authors of G.M. Schuster
This figure shows the co-authorship network connecting the top 25 collaborators of G.M. Schuster. A scholar is included among the top collaborators of G.M. Schuster 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 G.M. Schuster. G.M. Schuster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 88 | |
| 3 | Efficient implementation of optical flow algorithm based on directional filters on a GPU using CUDA | 4 |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 13 | |
| 7 | 60 | |
| 8 | 11 | |
| 9 | 18 | |
| 10 | 4 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 15 | |
| 14 | 6 | |
| 15 | 4 | |
| 16 | 56 | |
| 17 | 31 | |
| 18 | 75 | |
| 19 | 31 | |
| 20 | 24 |
About G.M. Schuster
G.M. Schuster is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (27 papers), Video Coding and Compression Technologies (25 papers) and Advanced Data Compression Techniques (14 papers). The work is most often cited by research in Signal Processing (615 citations), Computer Vision and Pattern Recognition (1.0k citations) and Computer Graphics and Computer-Aided Design (71 citations). G.M. Schuster has collaborated with scholars based in United States, Switzerland and Norway. Frequent co-authors include Aggelos K. Katsaggelos, Lisimachos P. Kondi, Jörn Östermann, Li Zhu, Michael S. Borella, Zhu Li, Haohong Wang, Eva Knop, Pius Dahinden and Cornel Sieber. Their work appears in journals such as Proceedings of the IEEE, Scientific Reports and IEEE Transactions on Image Processing.
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.